From e80a21d974ff3073f42a10824ea09a823b598ef8 Mon Sep 17 00:00:00 2001 From: Stephanie Brink Date: Fri, 6 Sep 2024 10:40:35 -0700 Subject: [PATCH] re-run notebooks, add groupby-aggregate tutorial --- docs/groupby_aggregate.ipynb | 1897 ++++++++++++ docs/query_language.ipynb | 184 +- docs/stats-functions.ipynb | 3931 +++++++++--------------- docs/thicket_rajaperf_clustering.ipynb | 848 ++--- docs/thicket_tutorial.ipynb | 704 ++--- 5 files changed, 4293 insertions(+), 3271 deletions(-) create mode 100644 docs/groupby_aggregate.ipynb diff --git a/docs/groupby_aggregate.ipynb b/docs/groupby_aggregate.ipynb new file mode 100644 index 00000000..8b0cd982 --- /dev/null +++ b/docs/groupby_aggregate.ipynb @@ -0,0 +1,1897 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "3f2eca6a", + "metadata": { + "papermill": { + "duration": 0.002581, + "end_time": "2024-09-06T17:34:48.949071", + "exception": false, + "start_time": "2024-09-06T17:34:48.946490", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "# Using Groupby-Aggregate to Compose Multi-Run Datasets: Thicket Tutorial\n", + "\n", + "Thicket is a python-based toolkit for Exploratory Data Analysis (EDA) of parallel performance data that enables performance optimization and understanding of applications’ performance on supercomputers. It bridges the performance tool gap between being able to consider only a single instance of a simulation run (e.g., single platform, single measurement tool, or single scale) and finding actionable insights in multi-dimensional, multi-scale, multi-architecture, and multi-tool performance datasets.\n", + "\n", + "## 1. Import Necessary Packages" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "c39fbdb8", + "metadata": { + "execution": { + "iopub.execute_input": "2024-09-06T17:34:48.953732Z", + "iopub.status.busy": "2024-09-06T17:34:48.953607Z", + "iopub.status.idle": "2024-09-06T17:34:49.594112Z", + "shell.execute_reply": "2024-09-06T17:34:49.593124Z" + }, + "papermill": { + "duration": 0.644258, + "end_time": "2024-09-06T17:34:49.595444", + "exception": false, + "start_time": "2024-09-06T17:34:48.951186", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "application/javascript": [ + "var Roundtrip_Obj = {};\n", + "var refresh_cycle = false;\n", + "var clicked_cell = null;\n", + "var cached_cells = Jupyter.notebook.get_cell_elements();\n", + "\n", + "/**\n", + " * @name unindentPyCode\n", + " * @description Removes leading indentations from a python code string.\n", + " * \n", + " * @param {string} code Python code in string form\n", + " * @returns Passed code string but with no leading indentations\n", + " */\n", + "function unindentPyCode(code){\n", + " let uicode = code.split('\\n');\n", + " let indent = 0;\n", + "\n", + " uicode.forEach((l,i, arr)=>{\n", + " if(i == 0){\n", + " indent = l.search(/\\S/);\n", + " }\n", + " arr[i] = l.slice(indent);\n", + " })\n", + " uicode = uicode.join('\\n');\n", + " return uicode;\n", + "}\n", + "\n", + "/**\n", + " * @name buildPythonAssignment\n", + " * @description Builds up a python code string which assigns javascript data back into jypyter notebook namespace\n", + " * \n", + " * @param {string} val This is data assigned back to the python code\n", + " * @param {string} py_var This is the variable into which val is assigned\n", + " * @param {string} converter This is a definition of a python function which translates data back to the desired format\n", + " * @returns The python code to be run in the jupyter shell\n", + " */\n", + "function buildPythonAssignment(val, py_var, converter){\n", + " // console.log(val, py_var, converter);\n", + " var holder = `'${val}'`;\n", + " var code = `${unindentPyCode(converter.code)}`\n", + " code += `\\ntmp = ${holder}`;\n", + " code += `\\n${py_var} = ${converter.name}(tmp)`\n", + "\n", + " return code\n", + "}\n", + "\n", + "/**\n", + " * @name manageNewCell\n", + " * \n", + " * @description Increments all two way bound cell ids by the number of new cells which proceed them. \n", + " * Ex. Adding one cell at position 2 will increment a bound cell at position 3 from 3->4. \n", + " * \n", + " * @param {array} newCells A list of our current cells in the notebook to be compared against cached cells\n", + " * @param {} obj The current roundtrip object containing all data bindings\n", + " */\n", + "function manageNewCell(newCells, obj){\n", + " let newIds = [];\n", + "\n", + " Object.keys(newCells).forEach(function(i){\n", + " if(!Object.values(cached_cells).includes(newCells[i]) && !isNaN(i)){\n", + " newIds.push(i);\n", + " }\n", + " });\n", + "\n", + " //increment all bindings past each new id\n", + " for(let js_var in obj){\n", + " for(let id of newIds){\n", + " for(let key in obj[js_var][\"two_way\"]){\n", + " obj[js_var][\"two_way\"][key].forEach((two_way_id, i) => {\n", + " if(two_way_id > id){\n", + " obj[js_var][\"two_way\"][key][i] += 1;\n", + " }\n", + " });\n", + " }\n", + " } \n", + " }\n", + "\n", + " cached_cells = newCells;\n", + "}\n", + "\n", + "function manageDeletedCell(newCells, obj){\n", + " let deletedId = null;\n", + " \n", + " for(i of Object.keys(cachedCells)){\n", + " if (cached_cells[i] !== newCells[i]){\n", + " deletedId = i;\n", + " break;\n", + " }\n", + " }\n", + "\n", + "}\n", + "\n", + "\n", + "function bindClickDetectToCells(){\n", + " let cells = Jupyter.notebook.get_cell_elements();\n", + "\n", + " for(let i in Object.keys(cells)){\n", + " let cell = cells[i];\n", + "\n", + " if(cell !== undefined){\n", + " cell.addEventListener('mousedown', () => {\n", + " clicked_cell = i;\n", + " }, true)\n", + " }\n", + " }\n", + "}\n", + "\n", + "bindClickDetectToCells();\n", + "\n", + "/**\n", + " * @name RT_Handler\n", + " * @description A wrapper for our roundtrip object. It is called as a proxy for the\n", + " * roundtrip object defined above. This enables us to define custom call backs for\n", + " * gets and sets on the roundtrip object. The custom set handles necessary data conversion,\n", + " * the registering of two-way bound variables and automatic updating of watched cells. The get\n", + " * allows users to interact with the underlying object without worrying about the proxy.\n", + " */\n", + "var RT_Handler = {\n", + " set(obj, prop, value){\n", + " //Do cell housekeeping\n", + "\n", + "\n", + " //Initial pass of value into roundtrip object\n", + " // from python code; there may be multiple different\n", + " // visualizations of the same type we need to catch\n", + " if (typeof value === 'object' && value.hasOwnProperty('origin') && value.origin == 'INIT'){\n", + " \n", + " /**\n", + " * In this code block we need to check if there is already a \n", + " * an array of id's which are two way bound already defined and \n", + " * add to it or remove from it\n", + " */\n", + " let ida = Jupyter.notebook.get_selected_index()-1;\n", + " value.id = ida;\n", + " let new_val = value;\n", + "\n", + " // Block updating bindings while jupyter is running\n", + " if(refresh_cycle){\n", + " new_val = obj[prop];\n", + " new_val.data = value.data;\n", + " return Reflect.set(obj, prop, new_val);\n", + " }\n", + "\n", + " /**\n", + " * The broad case where we are updating bindings \n", + " * on existing data\n", + " */\n", + " if(obj[prop] != undefined){\n", + " new_val = obj[prop];\n", + " new_val.data = value.data;\n", + " new_val.converter = value.converter;\n", + "\n", + " // If there is no two way array, create one\n", + " // Else push on our new id\n", + " if(value.two_way === true){\n", + " if(!Object.keys(new_val.two_way).includes(value['python_var'])){\n", + " new_val.two_way[value['python_var']] = [];\n", + " }\n", + "\n", + " let pybinding = new_val.two_way[value['python_var']];\n", + "\n", + " if(!pybinding.includes(value.id)){\n", + " pybinding.push(value.id);\n", + " }\n", + "\n", + " }\n", + "\n", + " //Deregister a cell id from being two-way bound now\n", + " else if(value.two_way === false && Object.keys(new_val.two_way).includes(value['python_var'])){\n", + " let pybinding = new_val.two_way[value['python_var']];\n", + " const index = pybinding.indexOf(value.id);\n", + " \n", + " if (index > -1) {\n", + " pybinding.splice(index, 1);\n", + " }\n", + " }\n", + " }\n", + "\n", + " //Initalize a new two-way object if\n", + " // one did not exist\n", + " else{\n", + " if(new_val.two_way == true){\n", + " new_val.two_way = {};\n", + " new_val.two_way[value['python_var']] = [value.id];\n", + " }\n", + " else{\n", + " new_val.two_way = {};\n", + " }\n", + " delete new_val.id;\n", + " delete new_val.from_py;\n", + " delete new_val.python_var;\n", + " }\n", + "\n", + " return Reflect.set(obj, prop, new_val);\n", + " }\n", + " //Assignment from javascript code\n", + " else {\n", + " // TODO: make the py/js data identification object a\n", + " // formal class\n", + " if(obj[prop] === undefined){\n", + " obj[prop] = {\n", + " two_way: {},\n", + " origin: \"JS\",\n", + " data: null,\n", + " python_var: \"\",\n", + " converter: null,\n", + " type: typeof(value)\n", + " }\n", + " }\n", + "\n", + " var execable_cells = [];\n", + " let origin = 'STANDARD';\n", + " let python_var = '';\n", + "\n", + " if (typeof value === 'object' && \n", + " value.hasOwnProperty('origin') && \n", + " value.origin == 'PYASSIGN'){\n", + "\n", + " origin = value.origin;\n", + " python_var = value.python_var;\n", + " value = value.data;\n", + " }\n", + "\n", + " //TODO: Replace with imported, webpacked D3\n", + " require(['https://d3js.org/d3.v4.min.js'], function(d3) {\n", + "\n", + " // When 2 way bound this calls automatically when something changes\n", + " if (obj[prop] !== undefined && Object.keys(obj[prop][\"two_way\"]).length > 0){\n", + "\n", + " let current_cell = Number(clicked_cell);\n", + " let py_var = '';\n", + "\n", + " //ust set the data without updating if our current cell is not two way bound\n", + " if(origin == 'STANDARD'){\n", + " let found = false;\n", + " for(let key in obj[prop][\"two_way\"]){\n", + " if (obj[prop][\"two_way\"][key].includes(current_cell)){\n", + " found = true;\n", + " py_var = key;\n", + " }\n", + " }\n", + "\n", + " if(!found){\n", + " return Reflect.set(obj[prop], \"data\", value);\n", + " }\n", + " }\n", + "\n", + "\n", + " if(origin == 'PYASSIGN'){\n", + " py_var = python_var;\n", + " }\n", + "\n", + "\n", + " /**\n", + " * We now have a list of registered cells we can execute.\n", + " * So we look through our javascript variables to see if they\n", + " * are bound to the same py variable as our current assignment\n", + " * TODO: Make this list update when cells are moved up or down\n", + " */\n", + "\n", + " for(let js_var in obj){\n", + " let boundpyvars = Object.keys(obj[js_var][\"two_way\"]);\n", + "\n", + " if(boundpyvars.includes(py_var)){\n", + " let clls = obj[js_var][\"two_way\"][py_var].filter(x => x != current_cell );\n", + " execable_cells = execable_cells.concat(clls);\n", + " }\n", + " }\n", + "\n", + " if(origin == 'STANDARD'){\n", + " // TODO:THROW AN ERROR IF CONVERTER == NONE\n", + " const code = buildPythonAssignment(value, py_var, obj[prop][\"converter\"]);\n", + " \n", + " //TODO: Turn this into a function that manages error reporting and printing\n", + " Jupyter.notebook.kernel.execute(code, { \n", + " shell:{\n", + " reply: function(r){\n", + " //consider putting this in a reserved jupyter variable\n", + " if(r.content.status == 'error'){\n", + " console.error(`${r.content.ename} in JS->Python coversion:\\n ${r.content.evalue}`)\n", + " }\n", + " }\n", + " }\n", + " });\n", + " }\n", + "\n", + " refresh_cycle = true;\n", + " Jupyter.notebook.execute_cells(execable_cells);\n", + "\n", + " /**\n", + " * Test every half second to see if some of the\n", + " * jupyter cells are still running. Avoids a race condition\n", + " * where incorrect ids were stored in our roundtrip object.\n", + " */\n", + " const test_running = function(){\n", + " let runtest = d3.selectAll(\".running\");\n", + " if(runtest.empty()){\n", + " refresh_cycle = false;\n", + " return;\n", + " }\n", + " else{\n", + " setTimeout(test_running, 500);\n", + " }\n", + " }\n", + "\n", + " test_running();\n", + " }\n", + "\n", + " });\n", + " } \n", + "\n", + " return Reflect.set(obj[prop], \"data\", value);\n", + " },\n", + " get(obj, prop, reciever){\n", + " let ret = obj[prop].data\n", + " return ret; \n", + " }\n", + "}\n", + "\n", + "window.Roundtrip = new Proxy(Roundtrip_Obj, RT_Handler);\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from glob import glob\n", + "import numpy as np\n", + "from IPython.display import display\n", + "from IPython.display import HTML\n", + "\n", + "import thicket as th\n", + "\n", + "display(HTML(\"\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "3619676b", + "metadata": { + "execution": { + "iopub.execute_input": "2024-09-06T17:34:49.604477Z", + "iopub.status.busy": "2024-09-06T17:34:49.604231Z", + "iopub.status.idle": "2024-09-06T17:34:49.609094Z", + "shell.execute_reply": "2024-09-06T17:34:49.608244Z" + }, + "papermill": { + "duration": 0.010441, + "end_time": "2024-09-06T17:34:49.610198", + "exception": false, + "start_time": "2024-09-06T17:34:49.599757", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "# Disable the Pandas 3 Future Warnings for now\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\", category=FutureWarning) " + ] + }, + { + "cell_type": "markdown", + "id": "71f9c0b9", + "metadata": { + "papermill": { + "duration": 0.003079, + "end_time": "2024-09-06T17:34:49.617288", + "exception": false, + "start_time": "2024-09-06T17:34:49.614209", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "## 2. Define Dataset Paths and Names\n", + "\n", + "In this example, we load two repeat runs generated on lassen. We can use glob to find all of the caliper files in a given directory." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "b514c386", + "metadata": { + "execution": { + "iopub.execute_input": "2024-09-06T17:34:49.644418Z", + "iopub.status.busy": "2024-09-06T17:34:49.643035Z", + "iopub.status.idle": "2024-09-06T17:34:50.381106Z", + "shell.execute_reply": "2024-09-06T17:34:50.380386Z" + }, + "papermill": { + "duration": 0.762311, + "end_time": "2024-09-06T17:34:50.382345", + "exception": false, + "start_time": "2024-09-06T17:34:49.620034", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\r", + " 0%| | 0/8 [00:00, ('Base_CUDA', 'block_128'): , ('Base_CUDA', 'block_256'): , ('Base_CUDA', 'block_512'): }\n" + ] + } + ], + "source": [ + "gb = tk.groupby([\"variant\", \"tuning\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "3cd9ad2b", + "metadata": { + "execution": { + "iopub.execute_input": "2024-09-06T17:34:50.487462Z", + "iopub.status.busy": "2024-09-06T17:34:50.486612Z", + "iopub.status.idle": "2024-09-06T17:34:50.492983Z", + "shell.execute_reply": "2024-09-06T17:34:50.492178Z" + }, + "papermill": { + "duration": 0.011931, + "end_time": "2024-09-06T17:34:50.493966", + "exception": false, + "start_time": "2024-09-06T17:34:50.482035", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "key ('Base_CUDA', 'block_1024') contains 2 profiles\n", + "key ('Base_CUDA', 'block_128') contains 2 profiles\n", + "key ('Base_CUDA', 'block_256') contains 2 profiles\n", + "key ('Base_CUDA', 'block_512') contains 2 profiles\n" + ] + } + ], + "source": [ + "for key, ttk in gb.items():\n", + " print(f\"key {key} contains {len(ttk.profile)} profiles\")" + ] + }, + { + "cell_type": "markdown", + "id": "d606a50a", + "metadata": { + "papermill": { + "duration": 0.002475, + "end_time": "2024-09-06T17:34:50.499192", + "exception": false, + "start_time": "2024-09-06T17:34:50.496717", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "## 4. Aggregation" + ] + }, + { + "cell_type": "markdown", + "id": "13987e87", + "metadata": { + "papermill": { + "duration": 0.002371, + "end_time": "2024-09-06T17:34:50.504177", + "exception": false, + "start_time": "2024-09-06T17:34:50.501806", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "Using the `aggregate_thicket` function, we can aggregate each Thicket in the groupby object individually." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "d772ce3b", + "metadata": { + "execution": { + "iopub.execute_input": "2024-09-06T17:34:50.511285Z", + "iopub.status.busy": "2024-09-06T17:34:50.510647Z", + "iopub.status.idle": "2024-09-06T17:34:50.932060Z", + "shell.execute_reply": "2024-09-06T17:34:50.930380Z" + }, + "papermill": { + "duration": 0.426277, + "end_time": "2024-09-06T17:34:50.932778", + "exception": false, + "start_time": "2024-09-06T17:34:50.506501", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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{'name': 'Stream_ADD', 'type': 'function'}Base_CUDAblock_12854.00.0335930.0335930.0335930.033593128.02.516582e+071.048576e+061048576.01.01048576.01000.0regionprofileStream_ADD
{'name': 'Stream_COPY', 'type': 'function'}Base_CUDAblock_12855.00.0425840.0425840.0425840.042584128.01.677722e+070.000000e+001048576.01.01048576.01800.0regionprofileStream_COPY
{'name': 'Stream_DOT', 'type': 'function'}Base_CUDAblock_12856.00.1081530.1081530.1081530.108153128.01.677723e+072.097152e+061048576.01.01048576.02000.0regionprofileStream_DOT
{'name': 'Stream_MUL', 'type': 'function'}Base_CUDAblock_12857.00.0426110.0426110.0426110.042611128.01.677722e+071.048576e+061048576.01.01048576.01800.0regionprofileStream_MUL
{'name': 'Stream_TRIAD', 'type': 'function'}Base_CUDAblock_12858.00.0336480.0336480.0336480.033648128.02.516582e+072.097152e+061048576.01.01048576.01000.0regionprofileStream_TRIAD
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67 rows × 14 columns

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" + ], + "text/plain": [ + " nid_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_128 1.0 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_128 10.0 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} Base_CUDA block_128 13.0 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} Base_CUDA block_128 12.0 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... Base_CUDA block_128 11.0 \n", + "... ... \n", + "{'name': 'Stream_ADD', 'type': 'function'} Base_CUDA block_128 54.0 \n", + "{'name': 'Stream_COPY', 'type': 'function'} Base_CUDA block_128 55.0 \n", + "{'name': 'Stream_DOT', 'type': 'function'} Base_CUDA block_128 56.0 \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_128 57.0 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_128 58.0 \n", + "\n", + " Min time/rank_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_128 1.779628 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_128 0.006809 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} Base_CUDA block_128 0.002439 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} Base_CUDA block_128 0.001705 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... Base_CUDA block_128 0.002642 \n", + "... ... \n", + "{'name': 'Stream_ADD', 'type': 'function'} Base_CUDA block_128 0.033593 \n", + "{'name': 'Stream_COPY', 'type': 'function'} Base_CUDA block_128 0.042584 \n", + "{'name': 'Stream_DOT', 'type': 'function'} Base_CUDA block_128 0.108153 \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_128 0.042611 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_128 0.033648 \n", + "\n", + " Max time/rank_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_128 1.779628 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_128 0.006809 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} Base_CUDA block_128 0.002439 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} Base_CUDA block_128 0.001705 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... Base_CUDA block_128 0.002642 \n", + "... ... \n", + "{'name': 'Stream_ADD', 'type': 'function'} Base_CUDA block_128 0.033593 \n", + "{'name': 'Stream_COPY', 'type': 'function'} Base_CUDA block_128 0.042584 \n", + "{'name': 'Stream_DOT', 'type': 'function'} Base_CUDA block_128 0.108153 \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_128 0.042611 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_128 0.033648 \n", + "\n", + " Avg time/rank_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_128 1.779628 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_128 0.006809 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} Base_CUDA block_128 0.002439 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} Base_CUDA block_128 0.001705 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... Base_CUDA block_128 0.002642 \n", + "... ... \n", + "{'name': 'Stream_ADD', 'type': 'function'} Base_CUDA block_128 0.033593 \n", + "{'name': 'Stream_COPY', 'type': 'function'} Base_CUDA block_128 0.042584 \n", + "{'name': 'Stream_DOT', 'type': 'function'} Base_CUDA block_128 0.108153 \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_128 0.042611 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_128 0.033648 \n", + "\n", + " Total time_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_128 1.779628 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_128 0.006809 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} Base_CUDA block_128 0.002439 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} Base_CUDA block_128 0.001705 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... Base_CUDA block_128 0.002642 \n", + "... ... \n", + "{'name': 'Stream_ADD', 'type': 'function'} Base_CUDA block_128 0.033593 \n", + "{'name': 'Stream_COPY', 'type': 'function'} Base_CUDA block_128 0.042584 \n", + "{'name': 'Stream_DOT', 'type': 'function'} Base_CUDA block_128 0.108153 \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_128 0.042611 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_128 0.033648 \n", + "\n", + " BlockSize_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_128 128.0 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_128 128.0 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} Base_CUDA block_128 128.0 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} Base_CUDA block_128 128.0 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... Base_CUDA block_128 128.0 \n", + "... ... \n", + "{'name': 'Stream_ADD', 'type': 'function'} Base_CUDA block_128 128.0 \n", + "{'name': 'Stream_COPY', 'type': 'function'} Base_CUDA block_128 128.0 \n", + "{'name': 'Stream_DOT', 'type': 'function'} Base_CUDA block_128 128.0 \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_128 128.0 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_128 128.0 \n", + "\n", + " Bytes/Rep_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_128 3.359049e+09 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_128 1.677722e+07 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} Base_CUDA block_128 1.677722e+07 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} Base_CUDA block_128 8.388616e+06 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... Base_CUDA block_128 8.388616e+06 \n", + "... ... \n", + "{'name': 'Stream_ADD', 'type': 'function'} Base_CUDA block_128 2.516582e+07 \n", + "{'name': 'Stream_COPY', 'type': 'function'} Base_CUDA block_128 1.677722e+07 \n", + "{'name': 'Stream_DOT', 'type': 'function'} Base_CUDA block_128 1.677723e+07 \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_128 1.677722e+07 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_128 2.516582e+07 \n", + "\n", + " Flops/Rep_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_128 6.797544e+09 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_128 1.048576e+06 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} Base_CUDA block_128 0.000000e+00 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} Base_CUDA block_128 0.000000e+00 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... Base_CUDA block_128 1.048576e+06 \n", + "... ... \n", + "{'name': 'Stream_ADD', 'type': 'function'} Base_CUDA block_128 1.048576e+06 \n", + "{'name': 'Stream_COPY', 'type': 'function'} Base_CUDA block_128 0.000000e+00 \n", + "{'name': 'Stream_DOT', 'type': 'function'} Base_CUDA block_128 2.097152e+06 \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_128 1.048576e+06 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_128 2.097152e+06 \n", + "\n", + " Iterations/Rep_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_128 125952040.0 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_128 1048576.0 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} Base_CUDA block_128 1048576.0 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} Base_CUDA block_128 1048576.0 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... Base_CUDA block_128 1048576.0 \n", + "... ... \n", + "{'name': 'Stream_ADD', 'type': 'function'} Base_CUDA block_128 1048576.0 \n", + "{'name': 'Stream_COPY', 'type': 'function'} Base_CUDA block_128 1048576.0 \n", + "{'name': 'Stream_DOT', 'type': 'function'} Base_CUDA block_128 1048576.0 \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_128 1048576.0 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_128 1048576.0 \n", + "\n", + " Kernels/Rep_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_128 160.0 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_128 1.0 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} Base_CUDA block_128 1.0 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} Base_CUDA block_128 1.0 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... Base_CUDA block_128 1.0 \n", + "... ... \n", + "{'name': 'Stream_ADD', 'type': 'function'} Base_CUDA block_128 1.0 \n", + "{'name': 'Stream_COPY', 'type': 'function'} Base_CUDA block_128 1.0 \n", + "{'name': 'Stream_DOT', 'type': 'function'} Base_CUDA block_128 1.0 \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_128 1.0 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_128 1.0 \n", + "\n", + " ProblemSize_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_128 1135363.0 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_128 1048576.0 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} Base_CUDA block_128 1048576.0 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} Base_CUDA block_128 1048576.0 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... Base_CUDA block_128 1048576.0 \n", + "... ... \n", + "{'name': 'Stream_ADD', 'type': 'function'} Base_CUDA block_128 1048576.0 \n", + "{'name': 'Stream_COPY', 'type': 'function'} Base_CUDA block_128 1048576.0 \n", + "{'name': 'Stream_DOT', 'type': 'function'} Base_CUDA block_128 1048576.0 \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_128 1048576.0 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_128 1048576.0 \n", + "\n", + " Reps_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_128 2500.0 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_128 100.0 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} Base_CUDA block_128 100.0 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} Base_CUDA block_128 100.0 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... Base_CUDA block_128 50.0 \n", + "... ... \n", + "{'name': 'Stream_ADD', 'type': 'function'} Base_CUDA block_128 1000.0 \n", + "{'name': 'Stream_COPY', 'type': 'function'} Base_CUDA block_128 1800.0 \n", + "{'name': 'Stream_DOT', 'type': 'function'} Base_CUDA block_128 2000.0 \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_128 1800.0 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_128 1000.0 \n", + "\n", + " spot.channel \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_128 regionprofile \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_128 regionprofile \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} Base_CUDA block_128 regionprofile \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} Base_CUDA block_128 regionprofile \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... Base_CUDA block_128 regionprofile \n", + "... ... \n", + "{'name': 'Stream_ADD', 'type': 'function'} Base_CUDA block_128 regionprofile \n", + "{'name': 'Stream_COPY', 'type': 'function'} Base_CUDA block_128 regionprofile \n", + "{'name': 'Stream_DOT', 'type': 'function'} Base_CUDA block_128 regionprofile \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_128 regionprofile \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_128 regionprofile \n", + "\n", + " name \n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_128 RAJAPerf \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_128 Algorithm \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} Base_CUDA block_128 Algorithm_MEMCPY \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} Base_CUDA block_128 Algorithm_MEMSET \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... Base_CUDA block_128 Algorithm_REDUCE_SUM \n", + "... ... \n", + "{'name': 'Stream_ADD', 'type': 'function'} Base_CUDA block_128 Stream_ADD \n", + "{'name': 'Stream_COPY', 'type': 'function'} Base_CUDA block_128 Stream_COPY \n", + "{'name': 'Stream_DOT', 'type': 'function'} Base_CUDA block_128 Stream_DOT \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_128 Stream_MUL \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_128 Stream_TRIAD \n", + "\n", + "[67 rows x 14 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "gb_agg = {}\n", + "for key, ttk in gb.items():\n", + " gb_agg[key] = gb.aggregate_thicket(ttk, np.mean)\n", + "\n", + "display(gb_agg[('Base_CUDA', 'block_128')].dataframe)" + ] + }, + { + "cell_type": "markdown", + "id": "bf91938f", + "metadata": { + "papermill": { + "duration": 0.002683, + "end_time": "2024-09-06T17:34:50.938706", + "exception": false, + "start_time": "2024-09-06T17:34:50.936023", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "We can call `agg` to aggregate and create a composed dataframe in one step" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "87e4bf1b", + "metadata": { + "execution": { + "iopub.execute_input": "2024-09-06T17:34:50.946318Z", + "iopub.status.busy": "2024-09-06T17:34:50.945846Z", + "iopub.status.idle": "2024-09-06T17:34:51.065560Z", + "shell.execute_reply": "2024-09-06T17:34:51.065078Z" + }, + "papermill": { + "duration": 0.124971, + "end_time": "2024-09-06T17:34:51.066434", + "exception": false, + "start_time": "2024-09-06T17:34:50.941463", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\r", + " 0%| | 0/3 [00:00\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
nid_meanMin time/rank_meanMax time/rank_meanAvg time/rank_meanTotal time_meanBlockSize_meanBytes/Rep_meanFlops/Rep_meanIterations/Rep_meanKernels/Rep_meanProblemSize_meanReps_meanspot.channelname
nodevarianttuning
{'name': 'RAJAPerf', 'type': 'function'}Base_CUDAblock_10241.02.1229342.1229342.1229342.1229341024.03.359049e+096.797544e+09125952040.0160.01135363.02500.0regionprofileRAJAPerf
block_1281.01.7796281.7796281.7796281.779628128.03.359049e+096.797544e+09125952040.0160.01135363.02500.0regionprofileRAJAPerf
block_2561.01.7721651.7721651.7721651.772165256.03.359049e+096.797544e+09125952040.0160.01135363.02500.0regionprofileRAJAPerf
block_5121.01.8383141.8383141.8383141.838314512.03.359049e+096.797544e+09125952040.0160.01135363.02500.0regionprofileRAJAPerf
{'name': 'Algorithm', 'type': 'function'}Base_CUDAblock_102411.00.0063710.0063710.0063710.0063711024.01.677722e+071.048576e+061048576.01.01048576.0100.0regionprofileAlgorithm
...................................................
{'name': 'Stream_MUL', 'type': 'function'}Base_CUDAblock_51257.00.0427750.0427750.0427750.042775512.01.677722e+071.048576e+061048576.01.01048576.01800.0regionprofileStream_MUL
{'name': 'Stream_TRIAD', 'type': 'function'}Base_CUDAblock_102460.00.0337490.0337490.0337490.0337491024.02.516582e+072.097152e+061048576.01.01048576.01000.0regionprofileStream_TRIAD
block_12858.00.0336480.0336480.0336480.033648128.02.516582e+072.097152e+061048576.01.01048576.01000.0regionprofileStream_TRIAD
block_25664.00.0336490.0336490.0336490.033649256.02.516582e+072.097152e+061048576.01.01048576.01000.0regionprofileStream_TRIAD
block_51258.00.0337130.0337130.0337130.033713512.02.516582e+072.097152e+061048576.01.01048576.01000.0regionprofileStream_TRIAD
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268 rows × 14 columns

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Base_CUDA block_1024 0.033749 \n", + " block_128 0.033648 \n", + " block_256 0.033649 \n", + " block_512 0.033713 \n", + "\n", + " Max time/rank_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_1024 2.122934 \n", + " block_128 1.779628 \n", + " block_256 1.772165 \n", + " block_512 1.838314 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_1024 0.006371 \n", + "... ... \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_512 0.042775 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_1024 0.033749 \n", + " block_128 0.033648 \n", + " block_256 0.033649 \n", + " block_512 0.033713 \n", + "\n", + " Avg time/rank_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_1024 2.122934 \n", + " block_128 1.779628 \n", + " block_256 1.772165 \n", + " block_512 1.838314 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_1024 0.006371 \n", + "... ... \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_512 0.042775 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_1024 0.033749 \n", + " block_128 0.033648 \n", + " block_256 0.033649 \n", + " block_512 0.033713 \n", + "\n", + " Total time_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_1024 2.122934 \n", + " block_128 1.779628 \n", + " block_256 1.772165 \n", + " block_512 1.838314 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_1024 0.006371 \n", + "... ... \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_512 0.042775 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_1024 0.033749 \n", + " block_128 0.033648 \n", + " block_256 0.033649 \n", + " block_512 0.033713 \n", + "\n", + " BlockSize_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_1024 1024.0 \n", + " block_128 128.0 \n", + " block_256 256.0 \n", + " block_512 512.0 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_1024 1024.0 \n", + "... ... \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_512 512.0 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_1024 1024.0 \n", + " block_128 128.0 \n", + " block_256 256.0 \n", + " block_512 512.0 \n", + "\n", + " Bytes/Rep_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_1024 3.359049e+09 \n", + " block_128 3.359049e+09 \n", + " block_256 3.359049e+09 \n", + " block_512 3.359049e+09 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_1024 1.677722e+07 \n", + "... ... \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_512 1.677722e+07 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_1024 2.516582e+07 \n", + " block_128 2.516582e+07 \n", + " block_256 2.516582e+07 \n", + " block_512 2.516582e+07 \n", + "\n", + " Flops/Rep_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_1024 6.797544e+09 \n", + " block_128 6.797544e+09 \n", + " block_256 6.797544e+09 \n", + " block_512 6.797544e+09 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_1024 1.048576e+06 \n", + "... ... \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_512 1.048576e+06 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_1024 2.097152e+06 \n", + " block_128 2.097152e+06 \n", + " block_256 2.097152e+06 \n", + " block_512 2.097152e+06 \n", + "\n", + " Iterations/Rep_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_1024 125952040.0 \n", + " block_128 125952040.0 \n", + " block_256 125952040.0 \n", + " block_512 125952040.0 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_1024 1048576.0 \n", + "... ... \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_512 1048576.0 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_1024 1048576.0 \n", + " block_128 1048576.0 \n", + " block_256 1048576.0 \n", + " block_512 1048576.0 \n", + "\n", + " Kernels/Rep_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_1024 160.0 \n", + " block_128 160.0 \n", + " block_256 160.0 \n", + " block_512 160.0 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_1024 1.0 \n", + "... ... \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_512 1.0 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_1024 1.0 \n", + " block_128 1.0 \n", + " block_256 1.0 \n", + " block_512 1.0 \n", + "\n", + " ProblemSize_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_1024 1135363.0 \n", + " block_128 1135363.0 \n", + " block_256 1135363.0 \n", + " block_512 1135363.0 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_1024 1048576.0 \n", + "... ... \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_512 1048576.0 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_1024 1048576.0 \n", + " block_128 1048576.0 \n", + " block_256 1048576.0 \n", + " block_512 1048576.0 \n", + "\n", + " Reps_mean \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_1024 2500.0 \n", + " block_128 2500.0 \n", + " block_256 2500.0 \n", + " block_512 2500.0 \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_1024 100.0 \n", + "... ... \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_512 1800.0 \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_1024 1000.0 \n", + " block_128 1000.0 \n", + " block_256 1000.0 \n", + " block_512 1000.0 \n", + "\n", + " spot.channel \\\n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_1024 regionprofile \n", + " block_128 regionprofile \n", + " block_256 regionprofile \n", + " block_512 regionprofile \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_1024 regionprofile \n", + "... ... \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_512 regionprofile \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_1024 regionprofile \n", + " block_128 regionprofile \n", + " block_256 regionprofile \n", + " block_512 regionprofile \n", + "\n", + " name \n", + "node variant tuning \n", + "{'name': 'RAJAPerf', 'type': 'function'} Base_CUDA block_1024 RAJAPerf \n", + " block_128 RAJAPerf \n", + " block_256 RAJAPerf \n", + " block_512 RAJAPerf \n", + "{'name': 'Algorithm', 'type': 'function'} Base_CUDA block_1024 Algorithm \n", + "... ... \n", + "{'name': 'Stream_MUL', 'type': 'function'} Base_CUDA block_512 Stream_MUL \n", + "{'name': 'Stream_TRIAD', 'type': 'function'} Base_CUDA block_1024 Stream_TRIAD \n", + " block_128 Stream_TRIAD \n", + " block_256 Stream_TRIAD \n", + " block_512 Stream_TRIAD \n", + "\n", + "[268 rows x 14 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tk_agg = gb.agg(np.mean)\n", + "\n", + "display(tk_agg.dataframe)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.12" + }, + "papermill": { + "default_parameters": {}, + "duration": 3.346415, + "end_time": "2024-09-06T17:34:51.393063", + "environment_variables": {}, + "exception": null, + "input_path": "06_groupby_aggregate_of_multirun_data.ipynb", + "output_path": "06_groupby_aggregate_of_multirun_data.ipynb", + "parameters": {}, + "start_time": "2024-09-06T17:34:48.046648", + "version": "2.5.0" + }, + "vscode": { + "interpreter": { + "hash": "e9b2a95c73c2c3cbd2385f2b17bb401a2882e839041a509387bd5d08c5b62925" + } + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/docs/query_language.ipynb b/docs/query_language.ipynb index a5b94efc..22d9ab17 100644 --- a/docs/query_language.ipynb +++ b/docs/query_language.ipynb @@ -5,10 +5,10 @@ "id": "387fdda3", "metadata": { "papermill": { - "duration": 0.011543, - "end_time": "2024-09-04T21:18:29.136745", + "duration": 0.0022, + "end_time": "2024-09-06T17:34:45.741741", "exception": false, - "start_time": "2024-09-04T21:18:29.125202", + "start_time": "2024-09-06T17:34:45.739541", "status": "completed" }, "tags": [] @@ -29,16 +29,16 @@ "id": "0689fbba", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:29.153548Z", - "iopub.status.busy": "2024-09-04T21:18:29.153139Z", - "iopub.status.idle": "2024-09-04T21:18:29.672204Z", - "shell.execute_reply": "2024-09-04T21:18:29.671867Z" + "iopub.execute_input": 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"2024-09-06T17:34:46.345110Z" }, "papermill": { - "duration": 0.00574, - "end_time": "2024-09-04T21:18:29.680764", + "duration": 0.007233, + "end_time": "2024-09-06T17:34:46.346292", "exception": false, - "start_time": "2024-09-04T21:18:29.675024", + "start_time": "2024-09-06T17:34:46.339059", "status": "completed" }, "tags": [] @@ -436,10 +436,10 @@ "id": "841835d6", "metadata": { "papermill": { - "duration": 0.001612, - "end_time": "2024-09-04T21:18:29.683976", + "duration": 0.002153, + "end_time": "2024-09-06T17:34:46.350801", "exception": false, - "start_time": "2024-09-04T21:18:29.682364", + "start_time": "2024-09-06T17:34:46.348648", "status": "completed" }, "tags": [] @@ -456,16 +456,16 @@ "id": "7643e225", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:29.687551Z", - "iopub.status.busy": "2024-09-04T21:18:29.687456Z", - "iopub.status.idle": "2024-09-04T21:18:29.783323Z", - "shell.execute_reply": "2024-09-04T21:18:29.783011Z" + "iopub.execute_input": "2024-09-06T17:34:46.356286Z", + "iopub.status.busy": "2024-09-06T17:34:46.356182Z", + "iopub.status.idle": "2024-09-06T17:34:46.464530Z", + "shell.execute_reply": "2024-09-06T17:34:46.464058Z" }, "papermill": { - "duration": 0.098354, - "end_time": "2024-09-04T21:18:29.783896", + "duration": 0.112167, + "end_time": "2024-09-06T17:34:46.465321", "exception": false, - "start_time": "2024-09-04T21:18:29.685542", + "start_time": "2024-09-06T17:34:46.353154", "status": "completed" }, "tags": [] @@ -516,7 +516,7 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 100%|██████████| 4/4 [00:00<00:00, 70.33it/s]" + "(1/2) Reading Files: 100%|██████████| 4/4 [00:00<00:00, 60.69it/s]" ] }, { @@ -563,7 +563,7 @@ "output_type": "stream", "text": [ "\r", - "(2/2) Creating Thicket: 100%|██████████| 3/3 [00:00<00:00, 890.07it/s]" + "(2/2) Creating Thicket: 100%|██████████| 3/3 [00:00<00:00, 682.37it/s]" ] }, { @@ -593,10 +593,10 @@ "id": "d603a02a", "metadata": { "papermill": { - 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"2024-09-04T21:18:29.789823", + "start_time": "2024-09-06T17:34:46.473672", "status": "completed" }, "scrolled": false, @@ -730,10 +730,10 @@ "id": "71c35593", "metadata": { "papermill": { - "duration": 0.001809, - "end_time": "2024-09-04T21:18:29.803579", + "duration": 0.002461, + "end_time": "2024-09-06T17:34:46.490331", "exception": false, - "start_time": "2024-09-04T21:18:29.801770", + "start_time": "2024-09-06T17:34:46.487870", "status": "completed" }, "tags": [] @@ -752,16 +752,16 @@ "id": "6a2f4c62", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:29.807495Z", - "iopub.status.busy": "2024-09-04T21:18:29.807409Z", - "iopub.status.idle": "2024-09-04T21:18:29.863252Z", - "shell.execute_reply": "2024-09-04T21:18:29.862953Z" + "iopub.execute_input": "2024-09-06T17:34:46.495848Z", + "iopub.status.busy": "2024-09-06T17:34:46.495740Z", + "iopub.status.idle": "2024-09-06T17:34:46.555963Z", + "shell.execute_reply": "2024-09-06T17:34:46.555325Z" }, "papermill": { - "duration": 0.058504, - "end_time": "2024-09-04T21:18:29.863842", + "duration": 0.063863, + "end_time": "2024-09-06T17:34:46.556799", "exception": false, - "start_time": "2024-09-04T21:18:29.805338", + "start_time": "2024-09-06T17:34:46.492936", "status": "completed" }, "scrolled": false, @@ -823,10 +823,10 @@ "id": "39c03f96", "metadata": { "papermill": { - "duration": 0.001986, - "end_time": "2024-09-04T21:18:29.867968", + "duration": 0.002255, + "end_time": "2024-09-06T17:34:46.561508", "exception": false, - "start_time": "2024-09-04T21:18:29.865982", + "start_time": "2024-09-06T17:34:46.559253", "status": "completed" }, "tags": [] @@ -843,16 +843,16 @@ "id": "037f5ad7", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:29.872083Z", - "iopub.status.busy": "2024-09-04T21:18:29.871991Z", - "iopub.status.idle": "2024-09-04T21:18:29.942327Z", - "shell.execute_reply": "2024-09-04T21:18:29.942025Z" + "iopub.execute_input": "2024-09-06T17:34:46.566740Z", + "iopub.status.busy": "2024-09-06T17:34:46.566584Z", + "iopub.status.idle": "2024-09-06T17:34:46.644536Z", + "shell.execute_reply": "2024-09-06T17:34:46.644143Z" }, "papermill": { - "duration": 0.073098, - "end_time": "2024-09-04T21:18:29.942934", + "duration": 0.081592, + "end_time": "2024-09-06T17:34:46.645319", "exception": false, - "start_time": "2024-09-04T21:18:29.869836", + "start_time": "2024-09-06T17:34:46.563727", "status": "completed" }, "tags": [] @@ -914,10 +914,10 @@ "id": "3c70ab25", "metadata": { "papermill": { - "duration": 0.00203, - "end_time": "2024-09-04T21:18:29.947113", + "duration": 0.002453, + "end_time": "2024-09-06T17:34:46.650765", "exception": false, - "start_time": "2024-09-04T21:18:29.945083", + "start_time": "2024-09-06T17:34:46.648312", "status": "completed" }, "tags": [] @@ -934,16 +934,16 @@ "id": "28ae2678", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:29.951327Z", - "iopub.status.busy": "2024-09-04T21:18:29.951238Z", - 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+1208,14 @@ }, "papermill": { "default_parameters": {}, - "duration": 2.010967, - "end_time": "2024-09-04T21:18:30.514227", + "duration": 2.868373, + "end_time": "2024-09-06T17:34:47.848911", "environment_variables": {}, "exception": null, "input_path": "05_thicket_query_language.ipynb", "output_path": "05_thicket_query_language.ipynb", "parameters": {}, - "start_time": "2024-09-04T21:18:28.503260", + "start_time": "2024-09-06T17:34:44.980538", "version": "2.5.0" } }, diff --git a/docs/stats-functions.ipynb b/docs/stats-functions.ipynb index ec2878d0..23637def 100644 --- a/docs/stats-functions.ipynb +++ b/docs/stats-functions.ipynb @@ -5,10 +5,10 @@ "id": "5f724ab5", "metadata": { "papermill": { - "duration": 0.02615, - "end_time": "2024-09-04T21:18:21.239099", + "duration": 0.007307, + "end_time": "2024-09-06T17:34:37.059464", "exception": false, - "start_time": "2024-09-04T21:18:21.212949", + "start_time": "2024-09-06T17:34:37.052157", "status": "completed" }, "tags": [] @@ -29,16 +29,16 @@ "id": "90484b9c", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:21.265339Z", - "iopub.status.busy": "2024-09-04T21:18:21.265115Z", - "iopub.status.idle": "2024-09-04T21:18:21.798342Z", - "shell.execute_reply": "2024-09-04T21:18:21.797994Z" + "iopub.execute_input": "2024-09-06T17:34:37.074358Z", + "iopub.status.busy": "2024-09-06T17:34:37.074234Z", + "iopub.status.idle": "2024-09-06T17:34:37.667249Z", + "shell.execute_reply": "2024-09-06T17:34:37.666576Z" }, "papermill": { - "duration": 0.544363, - "end_time": "2024-09-04T21:18:21.799067", + "duration": 0.602096, + "end_time": "2024-09-06T17:34:37.668602", "exception": false, - "start_time": "2024-09-04T21:18:21.254704", + "start_time": "2024-09-06T17:34:37.066506", "status": "completed" }, "tags": [] @@ -396,16 +396,16 @@ "id": "6586fbfb", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:21.812801Z", - "iopub.status.busy": "2024-09-04T21:18:21.812638Z", - "iopub.status.idle": "2024-09-04T21:18:21.815199Z", - "shell.execute_reply": "2024-09-04T21:18:21.814989Z" + "iopub.execute_input": "2024-09-06T17:34:37.683487Z", + "iopub.status.busy": "2024-09-06T17:34:37.683305Z", + "iopub.status.idle": "2024-09-06T17:34:37.687036Z", + "shell.execute_reply": "2024-09-06T17:34:37.686469Z" }, "papermill": { - "duration": 0.009897, - "end_time": "2024-09-04T21:18:21.815717", + "duration": 0.012207, + "end_time": "2024-09-06T17:34:37.687996", "exception": false, - "start_time": "2024-09-04T21:18:21.805820", + "start_time": "2024-09-06T17:34:37.675789", "status": "completed" }, "tags": [] @@ -422,10 +422,10 @@ "id": "85d6bf44", "metadata": { "papermill": { - "duration": 0.006133, - "end_time": "2024-09-04T21:18:21.828249", + "duration": 0.006011, + "end_time": "2024-09-06T17:34:37.700052", "exception": false, - "start_time": "2024-09-04T21:18:21.822116", + "start_time": "2024-09-06T17:34:37.694041", "status": "completed" }, "tags": [] @@ -442,580 +442,136 @@ "id": "d2385473", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:21.841064Z", - "iopub.status.busy": "2024-09-04T21:18:21.840961Z", - "iopub.status.idle": "2024-09-04T21:18:22.376376Z", - "shell.execute_reply": "2024-09-04T21:18:22.375997Z" + "iopub.execute_input": "2024-09-06T17:34:37.712768Z", + "iopub.status.busy": "2024-09-06T17:34:37.712638Z", + "iopub.status.idle": "2024-09-06T17:34:38.268252Z", + "shell.execute_reply": "2024-09-06T17:34:38.267274Z" }, "papermill": { - "duration": 0.542556, - "end_time": "2024-09-04T21:18:22.377000", + "duration": 0.563394, + "end_time": "2024-09-06T17:34:38.269354", "exception": false, - "start_time": "2024-09-04T21:18:21.834444", + "start_time": "2024-09-06T17:34:37.705960", "status": "completed" }, "tags": [] }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 0%| | 0/10 [00:00\n", - "\n", - "Columns must be from the aggregated statistics table." - ] - }, - { - "cell_type": "markdown", - "id": "557687f5", - "metadata": { - "papermill": { - "duration": 0.010906, - "end_time": "2024-09-04T21:18:24.578531", - "exception": false, - "start_time": "2024-09-04T21:18:24.567625", - "status": "completed" - }, - "tags": [] - }, - "source": [ - "**Single Index Thicket Example**" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "id": "3d624af5", - "metadata": { - "execution": { - "iopub.execute_input": "2024-09-04T21:18:24.600941Z", - "iopub.status.busy": "2024-09-04T21:18:24.600792Z", - "iopub.status.idle": "2024-09-04T21:18:24.674280Z", - "shell.execute_reply": "2024-09-04T21:18:24.673972Z" - }, - "papermill": { - "duration": 0.085613, - "end_time": "2024-09-04T21:18:24.674913", - "exception": false, - "start_time": "2024-09-04T21:18:24.589300", - "status": "completed" - }, - "tags": [] - }, - "outputs": [], - "source": [ - "# filter nodes to first five entries in the aggregated statistics table\n", - "stats_nodes = [\n", - " \"Base_Seq\", \n", - " \"Algorithm\", \n", - " \"Algorithm_MEMCPY\", \n", - "]\n", - "th_stats_name = clang_th.filter_stats(lambda x: x[\"name\"] in stats_nodes)" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "id": "be3ae0ad", - "metadata": { - "execution": { - "iopub.execute_input": "2024-09-04T21:18:24.696751Z", - "iopub.status.busy": "2024-09-04T21:18:24.696638Z", - "iopub.status.idle": "2024-09-04T21:18:24.795305Z", - "shell.execute_reply": "2024-09-04T21:18:24.794992Z" - }, - "papermill": { - "duration": 0.110241, - "end_time": "2024-09-04T21:18:24.795864", - "exception": false, - "start_time": "2024-09-04T21:18:24.685623", - "status": "completed" - }, - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=(30, 30))\n", - "metrics = [\"time (exc)_std\", \"time (exc)_var\"]\n", - "th.stats.display_heatmap(th_stats_name, columns=metrics)" - ] - }, - { - "cell_type": "markdown", - "id": "7e27bc97", - "metadata": { - "papermill": { - "duration": 0.011773, - "end_time": "2024-09-04T21:18:24.820051", - "exception": false, - "start_time": "2024-09-04T21:18:24.808278", - "status": "completed" - }, - "tags": [] - }, - "source": [ - "**Multi-Indexed Thicket Example**\n", - "\n", - "Example will show how to pass a columnar joined thicket object. When passing a columnar joined thicket object, the columns argument will now take a list of tuples. Each tuple will consist of two elements. The first element will always be the column index, and the second element will be an associated column under the column index you passed.
\n", - "\n", - " - Example: (column_index, column_name) -> (\"GCC\", \"Machine clears\")" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "id": "d1a71861", - "metadata": { - "execution": { - "iopub.execute_input": "2024-09-04T21:18:24.843374Z", - "iopub.status.busy": "2024-09-04T21:18:24.843268Z", - "iopub.status.idle": "2024-09-04T21:18:25.217301Z", - "shell.execute_reply": "2024-09-04T21:18:25.216975Z" - }, - "papermill": { - "duration": 0.386608, - "end_time": "2024-09-04T21:18:25.217987", - "exception": false, - "start_time": "2024-09-04T21:18:24.831379", - "status": "completed" - }, - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=(30, 30))\n", - "metrics = [(\"Clang\", \"time (exc)_std\"), (\"Clang\", \"time (exc)_var\")]\n", - "th.stats.display_heatmap(combined_th, columns=metrics)" - ] - }, - { - "cell_type": "markdown", - "id": "3fa68403", - "metadata": { - "papermill": { - "duration": 0.013461, - "end_time": "2024-09-04T21:18:25.245454", - "exception": false, - "start_time": "2024-09-04T21:18:25.231993", - "status": "completed" - }, - "tags": [] - }, - "source": [ - "**Example of Not Passing the Same Column Index for Multi-Indexed Thicket**" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "id": "330c37f0", - "metadata": { - "execution": { - "iopub.execute_input": "2024-09-04T21:18:25.272404Z", - "iopub.status.busy": "2024-09-04T21:18:25.272293Z", - "iopub.status.idle": "2024-09-04T21:18:25.274135Z", - "shell.execute_reply": "2024-09-04T21:18:25.273860Z" - }, - "papermill": { - "duration": 0.016029, - "end_time": "2024-09-04T21:18:25.274678", - "exception": false, - "start_time": "2024-09-04T21:18:25.258649", - "status": "completed" - }, - "tags": [] - }, - "outputs": [], - "source": [ - "#metrics = [(\"Clang\", \"time (exc)_std\"), (\"GCC\", \"Machine clears_var\")]\n", - "#th.stats.display_heatmap(combined_th, columns=metrics)" - ] - }, - { - "cell_type": "markdown", - "id": "0239b646", - "metadata": { - "papermill": { - "duration": 0.013474, - "end_time": "2024-09-04T21:18:25.301646", - "exception": false, - "start_time": "2024-09-04T21:18:25.288172", - "status": "completed" - }, - "tags": [] - }, - "source": [ - "### 6.2 Displaying Histogram\n", - "\n", - "The `display_histogram` function will display a histogram for a user passed node and columns. Node and column must come from the performance data table.
\n", - "\n", - "A histogram allows for a user to see outliers and the overall distribution of their data." - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "id": "e705c8a7", - "metadata": { - "execution": { - "iopub.execute_input": "2024-09-04T21:18:25.329464Z", - "iopub.status.busy": "2024-09-04T21:18:25.329362Z", - "iopub.status.idle": "2024-09-04T21:18:25.333118Z", - "shell.execute_reply": "2024-09-04T21:18:25.332888Z" - }, - "papermill": { - "duration": 0.018105, - "end_time": "2024-09-04T21:18:25.333642", - "exception": false, - "start_time": "2024-09-04T21:18:25.315537", - "status": "completed" - }, - "tags": [] - }, - "outputs": [], - "source": [ - "# Getting nodes to pass\n", - "n = pd.unique(combined_th.dataframe.reset_index()[\"node\"])[4]" - ] - }, - { - "cell_type": "markdown", - "id": "bc89da43", - "metadata": { - "papermill": { - "duration": 0.013342, - "end_time": "2024-09-04T21:18:25.360668", - "exception": false, - "start_time": "2024-09-04T21:18:25.347326", - "status": "completed" - }, - "tags": [] - }, - "source": [ - "**Single Index Thicket Example**" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "id": "2deabc3b", - "metadata": { - "execution": { - "iopub.execute_input": "2024-09-04T21:18:25.387989Z", - "iopub.status.busy": "2024-09-04T21:18:25.387872Z", - "iopub.status.idle": "2024-09-04T21:18:25.435202Z", - "shell.execute_reply": "2024-09-04T21:18:25.434892Z" - }, - "papermill": { - "duration": 0.061788, - "end_time": "2024-09-04T21:18:25.435851", - "exception": false, - "start_time": "2024-09-04T21:18:25.374063", - "status": "completed" - }, - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[]], dtype=object)" - ] - }, - "execution_count": 51, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=(30, 30))\n", - "th.stats.display_histogram(\n", - " clang_th,\n", - " node=n,\n", - " column=\"Machine clears\",\n", - " bins=3,\n", - " grid=False,\n", - " edgecolor=\"black\"\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "cb657ba2", - "metadata": { - "papermill": { - "duration": 0.013824, - "end_time": "2024-09-04T21:18:25.463553", - "exception": false, - "start_time": "2024-09-04T21:18:25.449729", - "status": "completed" - }, - "tags": [] - }, - "source": [ - "**Multi-Indexed Thicket Example**\n", - "\n", - "Example will show how to pass a columnar joined thicket object. When passing a columnar joined thicket object, the columns argument will now take a list of tuples. Each tuple will consist of two elements. The first element will always be the column index, and the second element will be an associated column under the column index you passed.
\n", - "\n", - " - Example: (column_index, column_name) -> (\"GCC\", \"Machine clears\")" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "id": "94fb6edb", - "metadata": { - "execution": { - "iopub.execute_input": "2024-09-04T21:18:25.491709Z", - "iopub.status.busy": "2024-09-04T21:18:25.491585Z", - "iopub.status.idle": "2024-09-04T21:18:25.537215Z", - "shell.execute_reply": "2024-09-04T21:18:25.536897Z" - }, - "papermill": { - "duration": 0.060355, - "end_time": "2024-09-04T21:18:25.537804", - "exception": false, - "start_time": "2024-09-04T21:18:25.477449", - "status": "completed" - }, - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[]],\n", - " dtype=object)" + " time (exc)_var \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} 5.320529e+09 \n", + "{'name': 'Algorithm', 'type': 'function'} 1.773236e+08 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} 9.221915e+13 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} 8.949541e+13 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... 2.442450e+12 \n", + "\n", + " GCC \\\n", + " Machine clears_iqr(0.25, 0.5, 0.75) \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} 0.001713 \n", + "{'name': 'Algorithm', 'type': 'function'} 0.003985 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} 0.020240 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} 0.005329 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... 0.103014 \n", + "\n", + " \\\n", + " Machine clears_lowerfence(0.25, 0.5, 0.75) \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} -0.000670 \n", + "{'name': 'Algorithm', 'type': 'function'} -0.003532 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} 0.937977 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} 0.980985 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... 0.730101 \n", + "\n", + " \\\n", + " Machine clears_max \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} 0.004523 \n", + "{'name': 'Algorithm', 'type': 'function'} 0.014205 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} 0.992988 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} 0.997550 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... 0.994624 \n", + "\n", + " \\\n", + " Machine clears_mean \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} 0.002853 \n", + "{'name': 'Algorithm', 'type': 'function'} 0.005249 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} 0.978926 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} 0.990934 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... 0.922818 \n", + "\n", + " \\\n", + " Machine clears_median \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} 0.003061 \n", + "{'name': 'Algorithm', 'type': 'function'} 0.004810 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} 0.984356 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} 0.991464 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... 0.925987 \n", + "\n", + " \\\n", + " Machine clears_min \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} 0.001071 \n", + "{'name': 'Algorithm', 'type': 'function'} 0.000000 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} 0.956393 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} 0.980433 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... 0.770469 \n", + "\n", + " \\\n", + " Machine clears_normality \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} True \n", + "{'name': 'Algorithm', 'type': 'function'} True \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} True \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} True \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... True \n", + "\n", + " \\\n", + " Machine clears_outliers(0.25, 0.5, 0.75) \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} [] \n", + "{'name': 'Algorithm', 'type': 'function'} [6] \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} [] \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} [8] \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... [] \n", + "\n", + " \\\n", + " Machine clears_percentiles_25 \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} 0.001899 \n", + "{'name': 'Algorithm', 'type': 'function'} 0.002446 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} 0.968337 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} 0.988979 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... 0.884621 \n", + "\n", + " \\\n", + " Machine clears_percentiles_50 \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} 0.003061 \n", + "{'name': 'Algorithm', 'type': 'function'} 0.004810 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} 0.984356 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} 0.991464 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... 0.925987 \n", + "\n", + " \\\n", + " Machine clears_percentiles_75 \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} 0.003612 \n", + "{'name': 'Algorithm', 'type': 'function'} 0.006431 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} 0.988577 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} 0.994308 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... 0.987635 \n", + "\n", + " \\\n", + " Machine clears_q1(0.25, 0.5, 0.75) \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} 0.001899 \n", + "{'name': 'Algorithm', 'type': 'function'} 0.002446 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} 0.968337 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} 0.988979 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... 0.884621 \n", + "\n", + " \\\n", + " Machine clears_q2(0.25, 0.5, 0.75) \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} 0.003061 \n", + "{'name': 'Algorithm', 'type': 'function'} 0.004810 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} 0.984356 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} 0.991464 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... 0.925987 \n", + "\n", + " \\\n", + " Machine clears_q3(0.25, 0.5, 0.75) \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} 0.003612 \n", + "{'name': 'Algorithm', 'type': 'function'} 0.006431 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} 0.988577 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} 0.994308 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... 0.987635 \n", + "\n", + " \\\n", + " Machine clears_std \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} 0.001155 \n", + "{'name': 'Algorithm', 'type': 'function'} 0.004414 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} 0.012691 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} 0.005403 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... 0.072369 \n", + "\n", + " \\\n", + " Machine clears_upperfence(0.25, 0.5, 0.75) \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} 0.006181 \n", + "{'name': 'Algorithm', 'type': 'function'} 0.012409 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} 1.018938 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} 1.002301 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... 1.142155 \n", + "\n", + " \\\n", + " Machine clears_var \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} 0.000001 \n", + "{'name': 'Algorithm', 'type': 'function'} 0.000019 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} 0.000161 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} 0.000029 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... 0.005237 \n", + "\n", + " Union statistics \\\n", + " time (exc)_vs_Machine clears spearman \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} -0.030303 \n", + "{'name': 'Algorithm', 'type': 'function'} 0.158055 \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} -0.381818 \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} 0.066667 \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... -0.030303 \n", + "\n", + " name \n", + " \n", + "node \n", + "{'name': 'RAJAPerf', 'type': 'function'} RAJAPerf \n", + "{'name': 'Algorithm', 'type': 'function'} Algorithm \n", + "{'name': 'Algorithm_MEMCPY', 'type': 'function'} Algorithm_MEMCPY \n", + "{'name': 'Algorithm_MEMSET', 'type': 'function'} Algorithm_MEMSET \n", + "{'name': 'Algorithm_REDUCE_SUM', 'type': 'funct... Algorithm_REDUCE_SUM " ] }, - "execution_count": 52, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" - }, - { - "data": { - "text/plain": [ - "
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- "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" } ], "source": [ - "plt.figure(figsize=(30, 30))\n", - "th.stats.display_histogram(\n", - " combined_th,\n", - " node=n,\n", - " column=(\"Clang\", \"Machine clears\"),\n", - " bins=3,\n", - " grid=False,\n", - " edgecolor=\"black\"\n", - ")" + "th.stats.calc_boxplot_statistics(combined_th, columns=metrics)\n", + "combined_th.statsframe.dataframe.head(5)" ] }, { "cell_type": "markdown", - "id": "8d7211b3", - "metadata": { - "papermill": { - "duration": 0.01403, - "end_time": "2024-09-04T21:18:25.565670", - "exception": false, - "start_time": "2024-09-04T21:18:25.551640", - "status": "completed" - }, - "tags": [] - }, - "source": [ - "**Example of Error if Not Passing a Hatchet Node**" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "id": "97beae7f", + "id": "be2704b4", "metadata": { - "execution": { - "iopub.execute_input": "2024-09-04T21:18:25.593459Z", - "iopub.status.busy": "2024-09-04T21:18:25.593361Z", - "iopub.status.idle": "2024-09-04T21:18:25.595153Z", - "shell.execute_reply": "2024-09-04T21:18:25.594853Z" - }, "papermill": { - "duration": 0.016478, - "end_time": "2024-09-04T21:18:25.595740", + "duration": 0.010458, + "end_time": "2024-09-06T17:34:40.662272", "exception": false, - "start_time": "2024-09-04T21:18:25.579262", + "start_time": "2024-09-06T17:34:40.651814", "status": "completed" }, "tags": [] }, - "outputs": [], "source": [ - "# n = \"not_hatchet_node\"\n", - "# th.stats.display_histogram(\n", - "# combined_th,\n", - "# node=n,\n", - "# column=(\"Clang\", \"Machine clears\")\n", - "# )" + "## 6. Visualization Thicket Functions" ] }, { "cell_type": "markdown", - "id": "3835995d", + "id": "48ce9f45", "metadata": { "papermill": { - "duration": 0.013434, - "end_time": "2024-09-04T21:18:25.622929", + "duration": 0.009845, + "end_time": "2024-09-06T17:34:40.682842", "exception": false, - "start_time": "2024-09-04T21:18:25.609495", + "start_time": "2024-09-06T17:34:40.672997", "status": "completed" }, "tags": [] }, "source": [ - "### 6.3 Displaying Boxplot\n", + "### 6.1 Displaying Heatmap\n", "\n", - "The `display_boxplot` function will display a boxplot for each passed in node(s) and column(s). The passed nodes and columns must be from the performance data table. " + "The `display_heatmap` function will display a color encoded map with the color representing the magnitude of the value for that specific node and column cell.
\n", + "\n", + "Columns must be from the aggregated statistics table." ] }, { - "cell_type": "code", - "execution_count": 54, - "id": "92e9574a", + "cell_type": "markdown", + "id": "557687f5", "metadata": { - "execution": { - "iopub.execute_input": "2024-09-04T21:18:25.650244Z", - "iopub.status.busy": "2024-09-04T21:18:25.650140Z", - "iopub.status.idle": "2024-09-04T21:18:25.654247Z", - "shell.execute_reply": "2024-09-04T21:18:25.654051Z" - }, "papermill": { - "duration": 0.018438, - "end_time": "2024-09-04T21:18:25.654753", + "duration": 0.0101, + "end_time": "2024-09-06T17:34:40.703068", "exception": false, - "start_time": "2024-09-04T21:18:25.636315", + "start_time": "2024-09-06T17:34:40.692968", "status": "completed" }, "tags": [] }, - "outputs": [], "source": [ - "# Getting nodes to pass\n", - "n = pd.unique(combined_th.dataframe.reset_index()[\"node\"])[0:2].tolist()" + "**Single Index Thicket Example**" ] }, { - "cell_type": "markdown", - "id": "c90df96a", + "cell_type": "code", + "execution_count": 46, + "id": "3d624af5", "metadata": { + "execution": { + "iopub.execute_input": "2024-09-06T17:34:40.724982Z", + "iopub.status.busy": "2024-09-06T17:34:40.724840Z", + "iopub.status.idle": "2024-09-06T17:34:40.811957Z", + "shell.execute_reply": "2024-09-06T17:34:40.811393Z" + }, "papermill": { - "duration": 0.013565, - "end_time": "2024-09-04T21:18:25.681940", + "duration": 0.100562, + "end_time": "2024-09-06T17:34:40.813473", "exception": false, - "start_time": "2024-09-04T21:18:25.668375", + "start_time": "2024-09-06T17:34:40.712911", "status": "completed" }, "tags": [] }, + "outputs": [], "source": [ - "**Single Index Thicket Example**" + "# filter nodes to first five entries in the aggregated statistics table\n", + "stats_nodes = [\n", + " \"Base_Seq\", \n", + " \"Algorithm\", \n", + " \"Algorithm_MEMCPY\", \n", + "]\n", + "th_stats_name = clang_th.filter_stats(lambda x: x[\"name\"] in stats_nodes)" ] }, { "cell_type": "code", - "execution_count": 55, - "id": "e8b4c726", + "execution_count": 47, + "id": "be3ae0ad", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:25.709588Z", - "iopub.status.busy": "2024-09-04T21:18:25.709479Z", - "iopub.status.idle": "2024-09-04T21:18:25.846395Z", - "shell.execute_reply": "2024-09-04T21:18:25.846078Z" + "iopub.execute_input": "2024-09-06T17:34:40.836522Z", + "iopub.status.busy": "2024-09-06T17:34:40.836384Z", + "iopub.status.idle": "2024-09-06T17:34:40.952418Z", + "shell.execute_reply": "2024-09-06T17:34:40.951792Z" }, "papermill": { - "duration": 0.151378, - "end_time": "2024-09-04T21:18:25.846967", + "duration": 0.128562, + "end_time": "2024-09-06T17:34:40.953315", "exception": false, - "start_time": "2024-09-04T21:18:25.695589", + "start_time": "2024-09-06T17:34:40.824753", "status": "completed" }, "tags": [] @@ -9637,18 +8705,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 55, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" }, { 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"text/plain": [ - "
" + "
" ] }, "metadata": { @@ -9659,22 +8727,19 @@ ], "source": [ "plt.figure(figsize=(30, 30))\n", - "th.stats.display_boxplot(\n", - " clang_th,\n", - " nodes=n,\n", - " columns=[\"Machine clears\", \"Frontend latency\"]\n", - ")" + "metrics = [\"time (exc)_std\", \"time (exc)_var\"]\n", + "th.stats.display_heatmap(th_stats_name, columns=metrics)" ] }, { "cell_type": "markdown", - "id": "f266979a", + "id": "7e27bc97", "metadata": { "papermill": { - "duration": 0.013875, - "end_time": "2024-09-04T21:18:25.875164", + "duration": 0.014674, + "end_time": "2024-09-06T17:34:40.979627", "exception": false, - "start_time": "2024-09-04T21:18:25.861289", + "start_time": "2024-09-06T17:34:40.964953", "status": "completed" }, "tags": [] @@ -9689,20 +8754,20 @@ }, { "cell_type": "code", - "execution_count": 56, - "id": "2b5e74e3", + "execution_count": 48, + "id": "d1a71861", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:25.903051Z", - "iopub.status.busy": "2024-09-04T21:18:25.902940Z", - "iopub.status.idle": "2024-09-04T21:18:26.002181Z", - "shell.execute_reply": "2024-09-04T21:18:26.001902Z" + "iopub.execute_input": "2024-09-06T17:34:41.004599Z", + "iopub.status.busy": "2024-09-06T17:34:41.004469Z", + "iopub.status.idle": "2024-09-06T17:34:41.445518Z", + "shell.execute_reply": "2024-09-06T17:34:41.445185Z" }, "papermill": { - "duration": 0.114104, - "end_time": "2024-09-04T21:18:26.002918", + "duration": 0.454281, + "end_time": "2024-09-06T17:34:41.446506", "exception": false, - "start_time": "2024-09-04T21:18:25.888814", + "start_time": "2024-09-06T17:34:40.992225", "status": "completed" }, "tags": [] @@ -9711,18 +8776,18 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 56, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", "text/plain": [ - "
" + "
" ] }, "metadata": { @@ -9733,94 +8798,90 @@ ], "source": [ "plt.figure(figsize=(30, 30))\n", - "th.stats.display_boxplot(\n", - " combined_th,\n", - " nodes=n,\n", - " columns=[(\"Clang\", \"time (exc)\"), (\"Clang\", \"Machine clears\")]\n", - ")" + "metrics = [(\"Clang\", \"time (exc)_std\"), (\"Clang\", \"time (exc)_var\")]\n", + "th.stats.display_heatmap(combined_th, columns=metrics)" ] }, { "cell_type": "markdown", - "id": "f13de603", + "id": "3fa68403", "metadata": { "papermill": { - "duration": 0.014527, - "end_time": "2024-09-04T21:18:26.032524", + "duration": 0.013474, + "end_time": "2024-09-06T17:34:41.474567", "exception": false, - "start_time": "2024-09-04T21:18:26.017997", + "start_time": "2024-09-06T17:34:41.461093", "status": "completed" }, "tags": [] }, "source": [ - "**Example of Error if Not Passing Same Column Index**" + "**Example of Not Passing the Same Column Index for Multi-Indexed Thicket**" ] }, { "cell_type": "code", - "execution_count": 57, - "id": "3e9a0abf", + "execution_count": 49, + "id": "330c37f0", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:26.061264Z", - "iopub.status.busy": "2024-09-04T21:18:26.061147Z", - "iopub.status.idle": "2024-09-04T21:18:26.063182Z", - "shell.execute_reply": "2024-09-04T21:18:26.062888Z" + "iopub.execute_input": "2024-09-06T17:34:41.507631Z", + "iopub.status.busy": "2024-09-06T17:34:41.507502Z", + "iopub.status.idle": "2024-09-06T17:34:41.509537Z", + "shell.execute_reply": "2024-09-06T17:34:41.509262Z" }, "papermill": { - "duration": 0.016941, - "end_time": "2024-09-04T21:18:26.063715", + "duration": 0.019108, + "end_time": "2024-09-06T17:34:41.510197", "exception": false, - "start_time": "2024-09-04T21:18:26.046774", + "start_time": "2024-09-06T17:34:41.491089", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ - "# th.stats.display_boxplot(\n", - "# combined_th,\n", - "# nodes=n,\n", - "# columns=[(\"Clang\", \"time (exc)\"), (\"GCC\", \"Machine clears\")]\n", - "# )" + "#metrics = [(\"Clang\", \"time (exc)_std\"), (\"GCC\", \"Machine clears_var\")]\n", + "#th.stats.display_heatmap(combined_th, columns=metrics)" ] }, { "cell_type": "markdown", - "id": "f6eb70f9", + "id": "0239b646", "metadata": { "papermill": { - "duration": 0.01391, - "end_time": "2024-09-04T21:18:26.091570", + "duration": 0.019497, + "end_time": "2024-09-06T17:34:41.545589", "exception": false, - "start_time": "2024-09-04T21:18:26.077660", + "start_time": "2024-09-06T17:34:41.526092", "status": "completed" }, "tags": [] }, "source": [ - "### 6.4 Displaying Violinplot\n", + "### 6.2 Displaying Histogram\n", "\n", - "The `display_violinplot` function will display a violin plot for each passed in node(s) and column(s). The passed nodes and columns must be from the performance data table. " + "The `display_histogram` function will display a histogram for a user passed node and columns. Node and column must come from the performance data table.
\n", + "\n", + "A histogram allows for a user to see outliers and the overall distribution of their data." ] }, { "cell_type": "code", - "execution_count": 58, - "id": "cd103264", + "execution_count": 50, + "id": "e705c8a7", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:26.120072Z", - "iopub.status.busy": "2024-09-04T21:18:26.119968Z", - "iopub.status.idle": "2024-09-04T21:18:26.123022Z", - "shell.execute_reply": "2024-09-04T21:18:26.122807Z" + "iopub.execute_input": "2024-09-06T17:34:41.581188Z", + "iopub.status.busy": "2024-09-06T17:34:41.581055Z", + "iopub.status.idle": "2024-09-06T17:34:41.584554Z", + "shell.execute_reply": "2024-09-06T17:34:41.584210Z" }, "papermill": { - "duration": 0.017984, - "end_time": "2024-09-04T21:18:26.123508", + "duration": 0.023641, + "end_time": "2024-09-06T17:34:41.585306", "exception": false, - "start_time": "2024-09-04T21:18:26.105524", + "start_time": "2024-09-06T17:34:41.561665", "status": "completed" }, "tags": [] @@ -9828,18 +8889,18 @@ "outputs": [], "source": [ "# Getting nodes to pass\n", - "n = pd.unique(combined_th.dataframe.reset_index()[\"node\"])[0:2].tolist()" + "n = pd.unique(combined_th.dataframe.reset_index()[\"node\"])[4]" ] }, { "cell_type": "markdown", - "id": "a4bcfea8", + "id": "bc89da43", "metadata": { "papermill": { - "duration": 0.013858, - "end_time": "2024-09-04T21:18:26.151622", + "duration": 0.016642, + "end_time": "2024-09-06T17:34:41.617641", "exception": false, - "start_time": "2024-09-04T21:18:26.137764", + "start_time": "2024-09-06T17:34:41.600999", "status": "completed" }, "tags": [] @@ -9850,20 +8911,20 @@ }, { "cell_type": "code", - "execution_count": 59, - "id": "298302ad", + "execution_count": 51, + "id": "2deabc3b", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:26.179866Z", - "iopub.status.busy": "2024-09-04T21:18:26.179762Z", - "iopub.status.idle": "2024-09-04T21:18:26.335194Z", - "shell.execute_reply": "2024-09-04T21:18:26.334992Z" + "iopub.execute_input": "2024-09-06T17:34:41.648562Z", + "iopub.status.busy": "2024-09-06T17:34:41.648438Z", + "iopub.status.idle": "2024-09-06T17:34:41.703721Z", + "shell.execute_reply": "2024-09-06T17:34:41.703395Z" }, "papermill": { - "duration": 0.170137, - "end_time": "2024-09-04T21:18:26.335708", + "duration": 0.072966, + "end_time": "2024-09-06T17:34:41.704446", "exception": false, - "start_time": "2024-09-04T21:18:26.165571", + "start_time": "2024-09-06T17:34:41.631480", "status": "completed" }, "tags": [] @@ -9872,18 +8933,27 @@ { "data": { "text/plain": [ - "" + "array([[]], dtype=object)" ] }, - "execution_count": 59, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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+ "text/plain": [ + "
" ] }, "metadata": { @@ -9893,23 +8963,26 @@ } ], "source": [ - "plt.figure(figsize=(10, 10))\n", - "th.stats.display_violinplot(\n", + "plt.figure(figsize=(30, 30))\n", + "th.stats.display_histogram(\n", " clang_th,\n", - " nodes=n,\n", - " columns=[\"Machine clears\", \"Frontend latency\"]\n", + " node=n,\n", + " column=\"Machine clears\",\n", + " bins=3,\n", + " grid=False,\n", + " edgecolor=\"black\"\n", ")" ] }, { "cell_type": "markdown", - "id": "523aed82", + "id": "cb657ba2", "metadata": { "papermill": { - "duration": 0.014225, - "end_time": "2024-09-04T21:18:26.364438", + "duration": 0.012893, + "end_time": "2024-09-06T17:34:41.730296", "exception": false, - "start_time": "2024-09-04T21:18:26.350213", + "start_time": "2024-09-06T17:34:41.717403", "status": "completed" }, "tags": [] @@ -9924,20 +8997,20 @@ }, { "cell_type": "code", - "execution_count": 60, - "id": "7927cb2f", + "execution_count": 52, + "id": "94fb6edb", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:26.393762Z", - "iopub.status.busy": "2024-09-04T21:18:26.393634Z", - "iopub.status.idle": "2024-09-04T21:18:26.511747Z", - "shell.execute_reply": "2024-09-04T21:18:26.511015Z" + "iopub.execute_input": "2024-09-06T17:34:41.756368Z", + "iopub.status.busy": "2024-09-06T17:34:41.756222Z", + "iopub.status.idle": "2024-09-06T17:34:41.809572Z", + "shell.execute_reply": "2024-09-06T17:34:41.809244Z" }, "papermill": { - "duration": 0.134115, - "end_time": "2024-09-04T21:18:26.513031", + "duration": 0.067176, + "end_time": "2024-09-06T17:34:41.810179", "exception": false, - "start_time": "2024-09-04T21:18:26.378916", + "start_time": "2024-09-06T17:34:41.743003", "status": "completed" }, "tags": [] @@ -9946,18 +9019,28 @@ { "data": { "text/plain": [ - "" + "array([[]],\n", + " dtype=object)" ] }, - "execution_count": 60, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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+ "text/plain": [ + "
" ] }, "metadata": { @@ -9967,47 +9050,50 @@ } ], "source": [ - "plt.figure(figsize=(10, 10))\n", - "th.stats.display_violinplot(\n", + "plt.figure(figsize=(30, 30))\n", + "th.stats.display_histogram(\n", " combined_th,\n", - " nodes=n,\n", - " columns=[(\"Clang\", \"time (exc)\"), (\"Clang\", \"Machine clears\")]\n", + " node=n,\n", + " column=(\"Clang\", \"Machine clears\"),\n", + " bins=3,\n", + " grid=False,\n", + " edgecolor=\"black\"\n", ")" ] }, { "cell_type": "markdown", - "id": "e634a05f", + "id": "8d7211b3", "metadata": { "papermill": { - "duration": 0.01486, - "end_time": "2024-09-04T21:18:26.543451", + "duration": 0.012691, + "end_time": "2024-09-06T17:34:41.835848", "exception": false, - "start_time": "2024-09-04T21:18:26.528591", + "start_time": "2024-09-06T17:34:41.823157", "status": "completed" }, "tags": [] }, "source": [ - "**Example of Error if Not Passing Hatchet Node**" + "**Example of Error if Not Passing a Hatchet Node**" ] }, { "cell_type": "code", - "execution_count": 61, - "id": "b87fd04f", + "execution_count": 53, + "id": "97beae7f", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:26.574046Z", - "iopub.status.busy": "2024-09-04T21:18:26.573925Z", - "iopub.status.idle": "2024-09-04T21:18:26.576134Z", - "shell.execute_reply": "2024-09-04T21:18:26.575935Z" + "iopub.execute_input": "2024-09-06T17:34:41.863687Z", + "iopub.status.busy": "2024-09-06T17:34:41.863567Z", + "iopub.status.idle": "2024-09-06T17:34:41.865593Z", + "shell.execute_reply": "2024-09-06T17:34:41.865213Z" }, "papermill": { - "duration": 0.018236, - "end_time": "2024-09-04T21:18:26.576701", + "duration": 0.017581, + "end_time": "2024-09-06T17:34:41.866298", "exception": false, - "start_time": "2024-09-04T21:18:26.558465", + "start_time": "2024-09-06T17:34:41.848717", "status": "completed" }, "tags": [] @@ -10024,39 +9110,39 @@ }, { "cell_type": "markdown", - "id": "2bbb977e", + "id": "3835995d", "metadata": { "papermill": { - "duration": 0.014706, - "end_time": "2024-09-04T21:18:26.606284", + "duration": 0.016537, + "end_time": "2024-09-06T17:34:41.895688", "exception": false, - "start_time": "2024-09-04T21:18:26.591578", + "start_time": "2024-09-06T17:34:41.879151", "status": "completed" }, "tags": [] }, "source": [ - "### 6.5 Displaying Violinplot Thicket\n", + "### 6.3 Displaying Boxplot\n", "\n", - "The `display_violinplot_thicket` function will display a violinplot for each user passed node(s) and column(s). The passed nodes and columns must be from the performance data table." + "The `display_boxplot` function will display a boxplot for each passed in node(s) and column(s). The passed nodes and columns must be from the performance data table. " ] }, { "cell_type": "code", - "execution_count": 62, - "id": "588a1bf9", + "execution_count": 54, + "id": "92e9574a", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:26.637280Z", - "iopub.status.busy": "2024-09-04T21:18:26.637169Z", - "iopub.status.idle": "2024-09-04T21:18:26.641051Z", - "shell.execute_reply": "2024-09-04T21:18:26.640835Z" + "iopub.execute_input": "2024-09-06T17:34:41.922187Z", + "iopub.status.busy": "2024-09-06T17:34:41.922055Z", + "iopub.status.idle": "2024-09-06T17:34:41.925459Z", + "shell.execute_reply": "2024-09-06T17:34:41.925207Z" }, "papermill": { - "duration": 0.020329, - "end_time": "2024-09-04T21:18:26.641579", + "duration": 0.017474, + "end_time": "2024-09-06T17:34:41.926068", "exception": false, - "start_time": "2024-09-04T21:18:26.621250", + "start_time": "2024-09-06T17:34:41.908594", "status": "completed" }, "tags": [] @@ -10064,37 +9150,18 @@ "outputs": [], "source": [ "# Getting nodes to pass\n", - "clang_node = pd.unique(clang_th.dataframe.reset_index()[\"node\"])[0]\n", - "gcc_node = pd.unique(gcc_th.dataframe.reset_index()[\"node\"])[0]\n", - "\n", - "# Setup thickets dict\n", - "thickets = {\n", - " \"clang\": clang_th,\n", - " \"gcc\": gcc_th,\n", - "}\n", - "\n", - "# Setup columns dict\n", - "columns = {\n", - " \"clang\": [\"Machine clears\"],\n", - " \"gcc\": [\"Frontend latency\"],\n", - "}\n", - "\n", - "# Setup nodes dict\n", - "nodes = {\n", - " \"clang\": clang_node,\n", - " \"gcc\": gcc_node\n", - "}" + "n = pd.unique(combined_th.dataframe.reset_index()[\"node\"])[0:2].tolist()" ] }, { "cell_type": "markdown", - "id": "7ac09a01", + "id": "c90df96a", "metadata": { "papermill": { - "duration": 0.014883, - "end_time": "2024-09-04T21:18:26.671685", + "duration": 0.012818, + "end_time": "2024-09-06T17:34:41.951767", "exception": false, - "start_time": "2024-09-04T21:18:26.656802", + "start_time": "2024-09-06T17:34:41.938949", "status": "completed" }, "tags": [] @@ -10105,20 +9172,20 @@ }, { "cell_type": "code", - "execution_count": 63, - "id": "9bfe87c3", + "execution_count": 55, + "id": "e8b4c726", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:26.701553Z", - "iopub.status.busy": "2024-09-04T21:18:26.701445Z", - "iopub.status.idle": "2024-09-04T21:18:26.812181Z", - "shell.execute_reply": "2024-09-04T21:18:26.811848Z" + "iopub.execute_input": "2024-09-06T17:34:41.978856Z", + "iopub.status.busy": "2024-09-06T17:34:41.978734Z", + "iopub.status.idle": "2024-09-06T17:34:42.100602Z", + "shell.execute_reply": "2024-09-06T17:34:42.100238Z" }, "papermill": { - "duration": 0.126486, - "end_time": "2024-09-04T21:18:26.812836", + "duration": 0.136418, + "end_time": "2024-09-06T17:34:42.101343", "exception": false, - "start_time": "2024-09-04T21:18:26.686350", + "start_time": "2024-09-06T17:34:41.964925", "status": "completed" }, "tags": [] @@ -10130,15 +9197,15 @@ "" ] }, - "execution_count": 63, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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"text/plain": [ - "
" + "
" ] }, "metadata": { @@ -10148,23 +9215,23 @@ } ], "source": [ - "plt.figure(figsize=(10, 10))\n", - "th.stats.display_violinplot_thicket(\n", - " thickets=thickets,\n", - " nodes=nodes,\n", - " columns=columns\n", + "plt.figure(figsize=(30, 30))\n", + "th.stats.display_boxplot(\n", + " clang_th,\n", + " nodes=n,\n", + " columns=[\"Machine clears\", \"Frontend latency\"]\n", ")" ] }, { "cell_type": "markdown", - "id": "1cbb3ad7", + "id": "f266979a", "metadata": { "papermill": { - "duration": 0.015075, - "end_time": "2024-09-04T21:18:26.843607", + "duration": 0.013331, + "end_time": "2024-09-06T17:34:42.128394", "exception": false, - "start_time": "2024-09-04T21:18:26.828532", + "start_time": "2024-09-06T17:34:42.115063", "status": "completed" }, "tags": [] @@ -10179,64 +9246,20 @@ }, { "cell_type": "code", - "execution_count": 64, - "id": "ba74f02b", - "metadata": { - "execution": { - "iopub.execute_input": "2024-09-04T21:18:26.874026Z", - "iopub.status.busy": "2024-09-04T21:18:26.873915Z", - "iopub.status.idle": "2024-09-04T21:18:26.878174Z", - "shell.execute_reply": "2024-09-04T21:18:26.877947Z" - }, - "papermill": { - "duration": 0.020258, - "end_time": "2024-09-04T21:18:26.878703", - "exception": false, - "start_time": "2024-09-04T21:18:26.858445", - "status": "completed" - }, - "tags": [] - }, - "outputs": [], - "source": [ - "# Getting nodes to pass\n", - "n = pd.unique(combined_th.dataframe.reset_index()[\"node\"])[0:2]\n", - "\n", - "# Getting thickets to pass\n", - "thickets = {\n", - " \"thicket_1\": combined_th,\n", - " \"thicket_2\": combined_th,\n", - "}\n", - "\n", - "# Getting columns to pass\n", - "columns = {\n", - " \"thicket_1\": [(\"Clang\", \"time (exc)\")],\n", - " \"thicket_2\": [(\"Clang\", \"Machine clears\")],\n", - "}\n", - "\n", - "# Getting nodes to pass\n", - "nodes = {\n", - " \"thicket_1\": n[0],\n", - " \"thicket_2\": n[1]\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "id": "1f4be21d", + "execution_count": 56, + "id": "2b5e74e3", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:26.909933Z", - "iopub.status.busy": "2024-09-04T21:18:26.909838Z", - "iopub.status.idle": "2024-09-04T21:18:27.029304Z", - "shell.execute_reply": "2024-09-04T21:18:27.028926Z" + "iopub.execute_input": "2024-09-06T17:34:42.155576Z", + "iopub.status.busy": "2024-09-06T17:34:42.155441Z", + "iopub.status.idle": "2024-09-06T17:34:42.296604Z", + "shell.execute_reply": "2024-09-06T17:34:42.296290Z" }, "papermill": { - "duration": 0.135402, - "end_time": "2024-09-04T21:18:27.029901", + "duration": 0.155641, + "end_time": "2024-09-06T17:34:42.297207", "exception": false, - "start_time": "2024-09-04T21:18:26.894499", + "start_time": "2024-09-06T17:34:42.141566", "status": "completed" }, "tags": [] @@ -10248,583 +9271,704 @@ "" ] }, - "execution_count": 65, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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" ] }, "metadata": { "needs_background": "light" }, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=(10, 10))\n", - "th.stats.display_violinplot_thicket(\n", - " thickets=thickets,\n", - " nodes=nodes,\n", - " columns=columns\n", + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(30, 30))\n", + "th.stats.display_boxplot(\n", + " combined_th,\n", + " nodes=n,\n", + " columns=[(\"Clang\", \"time (exc)\"), (\"Clang\", \"Machine clears\")]\n", ")" ] }, { "cell_type": "markdown", - "id": "31bfc56d", + "id": "f13de603", "metadata": { "papermill": { - "duration": 0.015819, - "end_time": "2024-09-04T21:18:27.061868", + "duration": 0.013867, + "end_time": "2024-09-06T17:34:42.325459", "exception": false, - "start_time": "2024-09-04T21:18:27.046049", + "start_time": "2024-09-06T17:34:42.311592", "status": "completed" }, "tags": [] }, "source": [ - "**Example of Error if Not Passing Dictionary of Appropriate Values**" + "**Example of Error if Not Passing Same Column Index**" ] }, { "cell_type": "code", - "execution_count": 66, - "id": "1e4e30fb", + "execution_count": 57, + "id": "3e9a0abf", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:27.093404Z", - "iopub.status.busy": "2024-09-04T21:18:27.093291Z", - "iopub.status.idle": "2024-09-04T21:18:27.095084Z", - "shell.execute_reply": "2024-09-04T21:18:27.094853Z" + "iopub.execute_input": "2024-09-06T17:34:42.353237Z", + "iopub.status.busy": "2024-09-06T17:34:42.353112Z", + "iopub.status.idle": "2024-09-06T17:34:42.355610Z", + "shell.execute_reply": "2024-09-06T17:34:42.355251Z" }, "papermill": { - "duration": 0.018184, - "end_time": "2024-09-04T21:18:27.095630", + "duration": 0.017284, + "end_time": "2024-09-06T17:34:42.356249", "exception": false, - "start_time": "2024-09-04T21:18:27.077446", + "start_time": "2024-09-06T17:34:42.338965", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ - "# n = \"not_hatchet_node\"\n", - "# plt.figure(figsize=(10, 10))\n", - "# th.stats.display_violinplot_thicket(\n", - "# thickets=thickets,\n", + "# th.stats.display_boxplot(\n", + "# combined_th,\n", "# nodes=n,\n", - "# columns=columns\n", + "# columns=[(\"Clang\", \"time (exc)\"), (\"GCC\", \"Machine clears\")]\n", "# )" ] }, { "cell_type": "markdown", - "id": "2538d05d", + "id": "f6eb70f9", "metadata": { "papermill": { - "duration": 0.015322, - "end_time": "2024-09-04T21:18:27.126357", + "duration": 0.013698, + "end_time": "2024-09-06T17:34:42.383311", "exception": false, - "start_time": "2024-09-04T21:18:27.111035", + "start_time": "2024-09-06T17:34:42.369613", "status": "completed" }, "tags": [] }, "source": [ - "**Example of Error if Not Passing Hatchet Node**" + "### 6.4 Displaying Violinplot\n", + "\n", + "The `display_violinplot` function will display a violin plot for each passed in node(s) and column(s). The passed nodes and columns must be from the performance data table. " ] }, { "cell_type": "code", - "execution_count": 67, - "id": "e0e4c21c", + "execution_count": 58, + "id": "cd103264", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:27.157266Z", - "iopub.status.busy": "2024-09-04T21:18:27.157164Z", - "iopub.status.idle": "2024-09-04T21:18:27.159165Z", - "shell.execute_reply": "2024-09-04T21:18:27.158911Z" + "iopub.execute_input": "2024-09-06T17:34:42.411666Z", + "iopub.status.busy": "2024-09-06T17:34:42.411537Z", + "iopub.status.idle": "2024-09-06T17:34:42.415550Z", + "shell.execute_reply": "2024-09-06T17:34:42.415250Z" }, "papermill": { - "duration": 0.018168, - "end_time": "2024-09-04T21:18:27.159746", + "duration": 0.018654, + "end_time": "2024-09-06T17:34:42.416064", "exception": false, - "start_time": "2024-09-04T21:18:27.141578", + "start_time": "2024-09-06T17:34:42.397410", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ - "# n = \"not_hatchet_node\"\n", - "# th.stats.display_histogram(\n", - "# combined_th,\n", - "# node=n,\n", - "# column=(\"Clang\", \"Machine clears\")\n", - "# )" + "# Getting nodes to pass\n", + "n = pd.unique(combined_th.dataframe.reset_index()[\"node\"])[0:2].tolist()" ] }, { "cell_type": "markdown", - "id": "c01b2605", + "id": "a4bcfea8", "metadata": { "papermill": { - "duration": 0.015443, - "end_time": "2024-09-04T21:18:27.190422", + "duration": 0.014009, + "end_time": "2024-09-06T17:34:42.444142", "exception": false, - "start_time": "2024-09-04T21:18:27.174979", + "start_time": "2024-09-06T17:34:42.430133", "status": "completed" }, "tags": [] }, "source": [ - "## 7. Creating a New Thicket From Multiple Statsframes \n", - "\n", - "The `from_statsframes` function allows us to compose multiple statsframes into a new thicket." + "**Single Index Thicket Example**" ] }, { "cell_type": "code", - "execution_count": 68, - "id": "58fc24f9", + "execution_count": 59, + "id": "298302ad", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:27.221468Z", - "iopub.status.busy": "2024-09-04T21:18:27.221365Z", - "iopub.status.idle": "2024-09-04T21:18:27.756215Z", - "shell.execute_reply": "2024-09-04T21:18:27.755850Z" + "iopub.execute_input": "2024-09-06T17:34:42.473188Z", + "iopub.status.busy": "2024-09-06T17:34:42.473047Z", + "iopub.status.idle": "2024-09-06T17:34:42.718690Z", + "shell.execute_reply": "2024-09-06T17:34:42.718291Z" }, "papermill": { - "duration": 0.551331, - "end_time": "2024-09-04T21:18:27.756853", + "duration": 0.260804, + "end_time": "2024-09-06T17:34:42.719348", "exception": false, - "start_time": "2024-09-04T21:18:27.205522", + "start_time": "2024-09-06T17:34:42.458544", "status": "completed" }, "tags": [] }, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 0%| | 0/10 [00:00" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "(2/2) Creating Thicket: 100%|██████████| 9/9 [00:00<00:00, 351.76it/s]" - ] + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10, 10))\n", + "th.stats.display_violinplot(\n", + " clang_th,\n", + " nodes=n,\n", + " columns=[\"Machine clears\", \"Frontend latency\"]\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "523aed82", + "metadata": { + "papermill": { + "duration": 0.014995, + "end_time": "2024-09-06T17:34:42.755239", + "exception": false, + "start_time": "2024-09-06T17:34:42.740244", + "status": "completed" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" - ] + "tags": [] + }, + "source": [ + "**Multi-Indexed Thicket Example**\n", + "\n", + "Example will show how to pass a columnar joined thicket object. When passing a columnar joined thicket object, the columns argument will now take a list of tuples. Each tuple will consist of two elements. The first element will always be the column index, and the second element will be an associated column under the column index you passed.
\n", + "\n", + " - Example: (column_index, column_name) -> (\"GCC\", \"Machine clears\")" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "7927cb2f", + "metadata": { + "execution": { + "iopub.execute_input": "2024-09-06T17:34:42.784352Z", + "iopub.status.busy": "2024-09-06T17:34:42.784215Z", + "iopub.status.idle": "2024-09-06T17:34:42.994820Z", + "shell.execute_reply": "2024-09-06T17:34:42.994419Z" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 0%| | 0/10 [00:00" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "(1/2) Reading Files: 0%| | 0/10 [00:00" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10, 10))\n", + "th.stats.display_violinplot(\n", + " combined_th,\n", + " nodes=n,\n", + " columns=[(\"Clang\", \"time (exc)\"), (\"Clang\", \"Machine clears\")]\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "e634a05f", + "metadata": { + "papermill": { + "duration": 0.014429, + "end_time": "2024-09-06T17:34:43.024705", + "exception": false, + "start_time": "2024-09-06T17:34:43.010276", + "status": "completed" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "(1/2) Reading Files: 0%| | 0/10 [00:00" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "(1/2) Reading Files: 100%|██████████| 10/10 [00:00<00:00, 51.07it/s]" - ] + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10, 10))\n", + "th.stats.display_violinplot_thicket(\n", + " thickets=thickets,\n", + " nodes=nodes,\n", + " columns=columns\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "1cbb3ad7", + "metadata": { + "papermill": { + "duration": 0.018859, + "end_time": "2024-09-06T17:34:43.326996", + "exception": false, + "start_time": "2024-09-06T17:34:43.308137", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "**Multi-Indexed Thicket Example**\n", + "\n", + "Example will show how to pass a columnar joined thicket object. When passing a columnar joined thicket object, the columns argument will now take a list of tuples. Each tuple will consist of two elements. The first element will always be the column index, and the second element will be an associated column under the column index you passed.
\n", + "\n", + " - Example: (column_index, column_name) -> (\"GCC\", \"Machine clears\")" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "ba74f02b", + "metadata": { + "execution": { + "iopub.execute_input": "2024-09-06T17:34:43.356650Z", + "iopub.status.busy": "2024-09-06T17:34:43.356524Z", + "iopub.status.idle": "2024-09-06T17:34:43.361689Z", + "shell.execute_reply": "2024-09-06T17:34:43.361364Z" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" - ] + "papermill": { + "duration": 0.020846, + "end_time": "2024-09-06T17:34:43.362276", + "exception": false, + "start_time": "2024-09-06T17:34:43.341430", + "status": "completed" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 0%| | 0/9 [00:00" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "(2/2) Creating Thicket: 0%| | 0/9 [00:00" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10, 10))\n", + "th.stats.display_violinplot_thicket(\n", + " thickets=thickets,\n", + " nodes=nodes,\n", + " columns=columns\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "31bfc56d", + "metadata": { + "papermill": { + "duration": 0.015469, + "end_time": "2024-09-06T17:34:43.527650", + "exception": false, + "start_time": "2024-09-06T17:34:43.512181", + "status": "completed" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "(2/2) Creating Thicket: 0%| | 0/9 [00:00...\n", " 0.793402\n", " -1.167452\n", - " 0\n", - " Cluster 0\n", " 1\n", " Cluster 1\n", - " 2\n", - " Cluster 2\n", " 3\n", " Cluster 3\n", + " 0\n", + " Cluster 0\n", + " 0\n", + " Cluster 0\n", " \n", " \n", " 0\n", @@ -2646,14 +2646,14 @@ " ...\n", " 0.187331\n", " -0.566466\n", - " 0\n", - " Cluster 0\n", + " 1\n", + " Cluster 1\n", " 3\n", " Cluster 3\n", - " 2\n", - " Cluster 2\n", " 0\n", " Cluster 0\n", + " 3\n", + " Cluster 3\n", " \n", " \n", " 2\n", @@ -2670,14 +2670,14 @@ " ...\n", " -1.504945\n", " 0.148736\n", + " 1\n", + " Cluster 1\n", " 0\n", " Cluster 0\n", - " 3\n", - " Cluster 3\n", - " 2\n", - " Cluster 2\n", - " 2\n", - " Cluster 2\n", + " 0\n", + " Cluster 0\n", + " 1\n", + " Cluster 1\n", " \n", " \n", " 1\n", @@ -2694,12 +2694,12 @@ " ...\n", " -0.694227\n", " 0.994632\n", - " 1\n", - " Cluster 1\n", " 0\n", " Cluster 0\n", " 0\n", " Cluster 0\n", + " 2\n", + " Cluster 2\n", " 1\n", " Cluster 1\n", " \n", @@ -2718,14 +2718,14 @@ " ...\n", " -0.379385\n", " -0.747844\n", + " 1\n", + " Cluster 1\n", + " 1\n", + " Cluster 1\n", " 0\n", " Cluster 0\n", - " 2\n", - " Cluster 2\n", - " 2\n", - " Cluster 2\n", - " 0\n", - " Cluster 0\n", + " 3\n", + " Cluster 3\n", " \n", " \n", " 4\n", @@ -2742,14 +2742,14 @@ " ...\n", " 1.777283\n", " -0.566466\n", + " 1\n", + " Cluster 1\n", + " 1\n", + " Cluster 1\n", + " 0\n", + " Cluster 0\n", " 0\n", " Cluster 0\n", - " 2\n", - " Cluster 2\n", - " 2\n", - " Cluster 2\n", - " 3\n", - " Cluster 3\n", " \n", " \n", " 6\n", @@ -2766,14 +2766,14 @@ " ...\n", " -0.426611\n", " -0.131445\n", + " 1\n", + " Cluster 1\n", + " 1\n", + " Cluster 1\n", " 0\n", " Cluster 0\n", - " 2\n", - " Cluster 2\n", - " 2\n", - " Cluster 2\n", - " 0\n", - " Cluster 0\n", + " 3\n", + " Cluster 3\n", " \n", " \n", " 5\n", @@ -2790,14 +2790,14 @@ " ...\n", " 0.596626\n", " 1.711995\n", - " 1\n", - " Cluster 1\n", - " 2\n", - " Cluster 2\n", " 0\n", " Cluster 0\n", - " 1\n", - " Cluster 1\n", + " 2\n", + " Cluster 2\n", + " 2\n", + " Cluster 2\n", + " 2\n", + " Cluster 2\n", " \n", " \n", " 11\n", @@ -2816,12 +2816,12 @@ " -1.446604\n", " 2\n", " Cluster 2\n", + " 3\n", + " Cluster 3\n", " 1\n", " Cluster 1\n", - " 1\n", - " Cluster 1\n", - " 0\n", - " Cluster 0\n", + " 3\n", + " Cluster 3\n", " \n", " \n", " 8\n", @@ -2844,8 +2844,8 @@ " Cluster 3\n", " 1\n", " Cluster 1\n", - " 3\n", - " Cluster 3\n", + " 0\n", + " Cluster 0\n", " \n", " \n", " 10\n", @@ -2864,12 +2864,12 @@ " -0.160496\n", " 2\n", " Cluster 2\n", - " 3\n", - " Cluster 3\n", + " 0\n", + " Cluster 0\n", " 1\n", " Cluster 1\n", - " 3\n", - " Cluster 3\n", + " 0\n", + " Cluster 0\n", " \n", " \n", " 9\n", @@ -2888,12 +2888,12 @@ " 0.025889\n", " 2\n", " Cluster 2\n", - " 3\n", - " Cluster 3\n", + " 0\n", + " Cluster 0\n", + " 1\n", + " Cluster 1\n", " 1\n", " Cluster 1\n", - " 2\n", - " Cluster 2\n", " \n", " \n", " 15\n", @@ -2910,14 +2910,14 @@ " ...\n", " -0.678484\n", " -0.701590\n", - " 0\n", - " Cluster 0\n", " 1\n", " Cluster 1\n", - " 2\n", - " Cluster 2\n", - " 0\n", - " Cluster 0\n", + " 3\n", + " Cluster 3\n", + " 1\n", + " Cluster 1\n", + " 3\n", + " Cluster 3\n", " \n", " \n", " 12\n", @@ -2934,14 +2934,14 @@ " ...\n", " 0.297526\n", " -0.566466\n", - " 0\n", - " Cluster 0\n", + " 1\n", + " Cluster 1\n", + " 3\n", + " Cluster 3\n", + " 1\n", + " Cluster 1\n", " 3\n", " Cluster 3\n", - " 2\n", - " Cluster 2\n", - " 0\n", - " Cluster 0\n", " \n", " \n", " 14\n", @@ -2958,14 +2958,14 @@ " ...\n", " -1.504945\n", " -0.001373\n", + " 1\n", + " Cluster 1\n", " 0\n", " Cluster 0\n", - " 3\n", - " Cluster 3\n", - " 2\n", - " Cluster 2\n", - " 2\n", - " Cluster 2\n", + " 1\n", + " Cluster 1\n", + " 1\n", + " Cluster 1\n", " \n", " \n", " 13\n", @@ -2982,12 +2982,12 @@ " ...\n", " -0.828034\n", " 1.834334\n", - " 1\n", - " Cluster 1\n", - " 0\n", - " Cluster 0\n", " 0\n", " Cluster 0\n", + " 2\n", + " Cluster 2\n", + " 2\n", + " Cluster 2\n", " 1\n", " Cluster 1\n", " \n", @@ -3006,14 +3006,14 @@ " ...\n", " 0.911468\n", " -0.566466\n", - " 0\n", - " Cluster 0\n", - " 3\n", - " Cluster 3\n", - " 2\n", - " Cluster 2\n", + " 1\n", + " Cluster 1\n", " 3\n", " Cluster 3\n", + " 0\n", + " Cluster 0\n", + " 0\n", + " Cluster 0\n", " \n", " \n", " 19\n", @@ -3030,14 +3030,14 @@ " ...\n", " 0.817015\n", " -0.489583\n", - " 0\n", - " Cluster 0\n", - " 3\n", - " Cluster 3\n", - " 2\n", - " Cluster 2\n", + " 1\n", + " Cluster 1\n", " 3\n", " Cluster 3\n", + " 0\n", + " Cluster 0\n", + " 0\n", + " Cluster 0\n", " \n", " \n", " 18\n", @@ -3054,14 +3054,14 @@ " ...\n", " -1.268813\n", " 0.504867\n", + " 1\n", + " Cluster 1\n", " 0\n", " Cluster 0\n", - " 3\n", - " Cluster 3\n", - " 2\n", - " Cluster 2\n", - " 2\n", - " Cluster 2\n", + " 0\n", + " Cluster 0\n", + " 1\n", + " Cluster 1\n", " \n", " \n", " 17\n", @@ -3078,14 +3078,14 @@ " ...\n", " 0.510044\n", " 2.458264\n", - " 1\n", - " Cluster 1\n", - " 0\n", - " Cluster 0\n", " 0\n", " Cluster 0\n", - " 1\n", - " Cluster 1\n", + " 2\n", + " Cluster 2\n", + " 2\n", + " Cluster 2\n", + " 2\n", + " Cluster 2\n", " \n", " \n", "\n", @@ -3138,92 +3138,92 @@ "17 0.935501 0.000256 1.029841 Stream_TRIAD -0.472909 \n", "\n", " ... Bad speculation_norm speedup_norm Retiring_cluster_id \\\n", - "3 ... 0.793402 -1.167452 0 \n", - "0 ... 0.187331 -0.566466 0 \n", - "2 ... -1.504945 0.148736 0 \n", - "1 ... -0.694227 0.994632 1 \n", - "7 ... -0.379385 -0.747844 0 \n", - "4 ... 1.777283 -0.566466 0 \n", - "6 ... -0.426611 -0.131445 0 \n", - "5 ... 0.596626 1.711995 1 \n", + "3 ... 0.793402 -1.167452 1 \n", + "0 ... 0.187331 -0.566466 1 \n", + "2 ... -1.504945 0.148736 1 \n", + "1 ... -0.694227 0.994632 0 \n", + "7 ... -0.379385 -0.747844 1 \n", + "4 ... 1.777283 -0.566466 1 \n", + "6 ... -0.426611 -0.131445 1 \n", + "5 ... 0.596626 1.711995 0 \n", "11 ... 0.258170 -1.446604 2 \n", "8 ... 1.147599 -0.566466 2 \n", "10 ... 1.493925 -0.160496 2 \n", "9 ... -1.504945 0.025889 2 \n", - "15 ... -0.678484 -0.701590 0 \n", - "12 ... 0.297526 -0.566466 0 \n", - "14 ... -1.504945 -0.001373 0 \n", - "13 ... -0.828034 1.834334 1 \n", - "16 ... 0.911468 -0.566466 0 \n", - "19 ... 0.817015 -0.489583 0 \n", - "18 ... -1.268813 0.504867 0 \n", - "17 ... 0.510044 2.458264 1 \n", + "15 ... -0.678484 -0.701590 1 \n", + "12 ... 0.297526 -0.566466 1 \n", + "14 ... -1.504945 -0.001373 1 \n", + "13 ... -0.828034 1.834334 0 \n", + "16 ... 0.911468 -0.566466 1 \n", + "19 ... 0.817015 -0.489583 1 \n", + "18 ... -1.268813 0.504867 1 \n", + "17 ... 0.510044 2.458264 0 \n", "\n", " Retiring_cluster Frontend bound_cluster_id Frontend bound_cluster \\\n", - "3 Cluster 0 1 Cluster 1 \n", - "0 Cluster 0 3 Cluster 3 \n", - "2 Cluster 0 3 Cluster 3 \n", - "1 Cluster 1 0 Cluster 0 \n", - "7 Cluster 0 2 Cluster 2 \n", - "4 Cluster 0 2 Cluster 2 \n", - "6 Cluster 0 2 Cluster 2 \n", - "5 Cluster 1 2 Cluster 2 \n", - "11 Cluster 2 1 Cluster 1 \n", + "3 Cluster 1 3 Cluster 3 \n", + "0 Cluster 1 3 Cluster 3 \n", + "2 Cluster 1 0 Cluster 0 \n", + "1 Cluster 0 0 Cluster 0 \n", + "7 Cluster 1 1 Cluster 1 \n", + "4 Cluster 1 1 Cluster 1 \n", + "6 Cluster 1 1 Cluster 1 \n", + "5 Cluster 0 2 Cluster 2 \n", + "11 Cluster 2 3 Cluster 3 \n", "8 Cluster 2 3 Cluster 3 \n", - "10 Cluster 2 3 Cluster 3 \n", - "9 Cluster 2 3 Cluster 3 \n", - "15 Cluster 0 1 Cluster 1 \n", - "12 Cluster 0 3 Cluster 3 \n", - "14 Cluster 0 3 Cluster 3 \n", - "13 Cluster 1 0 Cluster 0 \n", - "16 Cluster 0 3 Cluster 3 \n", - "19 Cluster 0 3 Cluster 3 \n", - "18 Cluster 0 3 Cluster 3 \n", - "17 Cluster 1 0 Cluster 0 \n", + "10 Cluster 2 0 Cluster 0 \n", + "9 Cluster 2 0 Cluster 0 \n", + "15 Cluster 1 3 Cluster 3 \n", + "12 Cluster 1 3 Cluster 3 \n", + "14 Cluster 1 0 Cluster 0 \n", + "13 Cluster 0 2 Cluster 2 \n", + "16 Cluster 1 3 Cluster 3 \n", + "19 Cluster 1 3 Cluster 3 \n", + "18 Cluster 1 0 Cluster 0 \n", + "17 Cluster 0 2 Cluster 2 \n", "\n", " Backend bound_cluster_id Backend bound_cluster \\\n", - "3 2 Cluster 2 \n", - "0 2 Cluster 2 \n", - "2 2 Cluster 2 \n", - "1 0 Cluster 0 \n", - "7 2 Cluster 2 \n", - "4 2 Cluster 2 \n", - "6 2 Cluster 2 \n", - "5 0 Cluster 0 \n", + "3 0 Cluster 0 \n", + "0 0 Cluster 0 \n", + "2 0 Cluster 0 \n", + "1 2 Cluster 2 \n", + "7 0 Cluster 0 \n", + "4 0 Cluster 0 \n", + "6 0 Cluster 0 \n", + "5 2 Cluster 2 \n", "11 1 Cluster 1 \n", "8 1 Cluster 1 \n", "10 1 Cluster 1 \n", "9 1 Cluster 1 \n", - "15 2 Cluster 2 \n", - "12 2 Cluster 2 \n", - "14 2 Cluster 2 \n", - "13 0 Cluster 0 \n", - "16 2 Cluster 2 \n", - "19 2 Cluster 2 \n", - "18 2 Cluster 2 \n", - "17 0 Cluster 0 \n", + "15 1 Cluster 1 \n", + "12 1 Cluster 1 \n", + "14 1 Cluster 1 \n", + "13 2 Cluster 2 \n", + "16 0 Cluster 0 \n", + "19 0 Cluster 0 \n", + "18 0 Cluster 0 \n", + "17 2 Cluster 2 \n", "\n", " Bad speculation_cluster_id Bad speculation_cluster \n", - "3 3 Cluster 3 \n", - "0 0 Cluster 0 \n", - "2 2 Cluster 2 \n", + "3 0 Cluster 0 \n", + "0 3 Cluster 3 \n", + "2 1 Cluster 1 \n", "1 1 Cluster 1 \n", - "7 0 Cluster 0 \n", - "4 3 Cluster 3 \n", - "6 0 Cluster 0 \n", - "5 1 Cluster 1 \n", - "11 0 Cluster 0 \n", - "8 3 Cluster 3 \n", - "10 3 Cluster 3 \n", - "9 2 Cluster 2 \n", - "15 0 Cluster 0 \n", - "12 0 Cluster 0 \n", - "14 2 Cluster 2 \n", + "7 3 Cluster 3 \n", + "4 0 Cluster 0 \n", + "6 3 Cluster 3 \n", + "5 2 Cluster 2 \n", + "11 3 Cluster 3 \n", + "8 0 Cluster 0 \n", + "10 0 Cluster 0 \n", + "9 1 Cluster 1 \n", + "15 3 Cluster 3 \n", + "12 3 Cluster 3 \n", + "14 1 Cluster 1 \n", "13 1 Cluster 1 \n", - "16 3 Cluster 3 \n", - "19 3 Cluster 3 \n", - "18 2 Cluster 2 \n", - "17 1 Cluster 1 \n", + "16 0 Cluster 0 \n", + "19 0 Cluster 0 \n", + "18 1 Cluster 1 \n", + "17 2 Cluster 2 \n", "\n", "[20 rows x 22 columns]" ] @@ -3243,16 +3243,16 @@ "id": "2cb3f41b", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:19.733604Z", - "iopub.status.busy": "2024-09-04T21:18:19.733505Z", - "iopub.status.idle": "2024-09-04T21:18:19.736144Z", - "shell.execute_reply": "2024-09-04T21:18:19.735876Z" + "iopub.execute_input": "2024-09-06T17:34:35.340958Z", + "iopub.status.busy": "2024-09-06T17:34:35.340848Z", + "iopub.status.idle": "2024-09-06T17:34:35.344891Z", + "shell.execute_reply": "2024-09-06T17:34:35.344376Z" }, "papermill": { - "duration": 0.007026, - "end_time": "2024-09-04T21:18:19.736695", + "duration": 0.009447, + "end_time": "2024-09-06T17:34:35.345598", "exception": false, - "start_time": "2024-09-04T21:18:19.729669", + "start_time": "2024-09-06T17:34:35.336151", "status": "completed" }, "tags": [] @@ -3261,20 +3261,20 @@ { "data": { "text/plain": [ - "[[(-0.4042957384725225, -0.4433752753596362),\n", - " (1.749806261598802, -0.4525719966261081),\n", + "[[(1.749806261598802, -0.4525719966261081),\n", + " (-0.4042957384725225, -0.4433752753596362),\n", " (-0.5369190461812909, 1.7826978227050168)],\n", - " [(1.762410152328975, 0.26544919660540234),\n", - " (-1.1052150695418737, 0.4947713361502072),\n", - " (0.06655968097162471, -1.913287530716048),\n", - " (-0.22378239722480278, 0.5372488524597373)],\n", - " [(1.749806261598802, 0.4371796258076567),\n", - " (-0.5369190461812909, -1.704780673615863),\n", - " (-0.4042957384725225, 0.42253368260272484)],\n", - " [(-0.6934026055878959, -0.12357547291735016),\n", - " (1.749806261598802, -0.10389784984133904),\n", - " (0.16952977426043225, -1.4459117436253002),\n", - " (-0.586154751651631, 1.1567818685617761)]]" + " [(0.2520426338192505, 0.531756881220382),\n", + " (-0.48191862184059486, -1.9058198610436912),\n", + " (2.0015309188686548, -0.4606199775226107),\n", + " (-0.7588865867499884, 0.4885972785470779)],\n", + " [(-0.3980133556581501, 0.6812549610965066),\n", + " (-0.4881578350674403, -1.1257161647284732),\n", + " (1.749806261598802, 0.4371796258076567)],\n", + " [(-0.586154751651631, 1.1567818685617761),\n", + " (0.5845143071603357, -1.2176513159435705),\n", + " (2.085129150237462, 0.5533347608974337),\n", + " (-0.6934026055878959, -0.12357547291735016)]]" ] }, "execution_count": 26, @@ -3291,10 +3291,10 @@ "id": "f0965157", "metadata": { "papermill": { - "duration": 0.003559, - "end_time": "2024-09-04T21:18:19.743784", + "duration": 0.004098, + "end_time": "2024-09-06T17:34:35.353470", "exception": false, - "start_time": "2024-09-04T21:18:19.740225", + "start_time": "2024-09-06T17:34:35.349372", "status": "completed" }, "tags": [] @@ -3311,16 +3311,16 @@ "id": "27ce46ff", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:19.751293Z", - "iopub.status.busy": "2024-09-04T21:18:19.751192Z", - "iopub.status.idle": "2024-09-04T21:18:20.078248Z", - "shell.execute_reply": "2024-09-04T21:18:20.077964Z" + "iopub.execute_input": "2024-09-06T17:34:35.362377Z", + "iopub.status.busy": "2024-09-06T17:34:35.362276Z", + "iopub.status.idle": "2024-09-06T17:34:35.735301Z", + "shell.execute_reply": "2024-09-06T17:34:35.734380Z" }, "papermill": { - "duration": 0.331544, - "end_time": "2024-09-04T21:18:20.078884", + "duration": 0.379339, + "end_time": "2024-09-06T17:34:35.736814", "exception": false, - "start_time": "2024-09-04T21:18:19.747340", + "start_time": "2024-09-06T17:34:35.357475", "status": "completed" }, "scrolled": false, @@ -3329,7 +3329,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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" ] @@ -3458,14 +3458,14 @@ }, "papermill": { "default_parameters": {}, - "duration": 3.223585, - "end_time": "2024-09-04T21:18:20.401695", + "duration": 3.73936, + "end_time": "2024-09-06T17:34:36.076682", "environment_variables": {}, "exception": null, "input_path": "02_thicket_rajaperf_clustering.ipynb", "output_path": "02_thicket_rajaperf_clustering.ipynb", "parameters": {}, - "start_time": "2024-09-04T21:18:17.178110", + "start_time": "2024-09-06T17:34:32.337322", "version": "2.5.0" } }, diff --git a/docs/thicket_tutorial.ipynb b/docs/thicket_tutorial.ipynb index 2bd4b38d..f3878357 100644 --- a/docs/thicket_tutorial.ipynb +++ b/docs/thicket_tutorial.ipynb @@ -5,10 +5,10 @@ "id": "b298bc4a", "metadata": { "papermill": { - "duration": 0.004956, - "end_time": "2024-09-04T21:18:13.064647", + "duration": 0.319829, + "end_time": "2024-09-06T17:34:27.594416", "exception": false, - "start_time": "2024-09-04T21:18:13.059691", + "start_time": "2024-09-06T17:34:27.274587", "status": "completed" }, "tags": [] @@ -29,16 +29,16 @@ "id": "4e9d66ee", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:13.072824Z", - "iopub.status.busy": "2024-09-04T21:18:13.072674Z", - "iopub.status.idle": "2024-09-04T21:18:13.613282Z", - "shell.execute_reply": "2024-09-04T21:18:13.612909Z" + "iopub.execute_input": "2024-09-06T17:34:27.601725Z", + "iopub.status.busy": "2024-09-06T17:34:27.601613Z", + "iopub.status.idle": "2024-09-06T17:34:28.219702Z", + "shell.execute_reply": "2024-09-06T17:34:28.219309Z" }, "papermill": { - "duration": 0.545362, - "end_time": "2024-09-04T21:18:13.613980", + "duration": 0.622469, + "end_time": "2024-09-06T17:34:28.220440", "exception": false, - "start_time": "2024-09-04T21:18:13.068618", + "start_time": "2024-09-06T17:34:27.597971", "status": "completed" }, "scrolled": true, @@ -410,16 +410,16 @@ "id": "6586fbfb", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:13.622471Z", - "iopub.status.busy": "2024-09-04T21:18:13.622340Z", - "iopub.status.idle": "2024-09-04T21:18:13.624102Z", - "shell.execute_reply": "2024-09-04T21:18:13.623830Z" + "iopub.execute_input": "2024-09-06T17:34:28.228893Z", + "iopub.status.busy": "2024-09-06T17:34:28.228745Z", + "iopub.status.idle": "2024-09-06T17:34:28.231493Z", + "shell.execute_reply": "2024-09-06T17:34:28.231099Z" }, "papermill": { - "duration": 0.006618, - "end_time": "2024-09-04T21:18:13.624642", + "duration": 0.007483, + "end_time": "2024-09-06T17:34:28.232185", "exception": false, - "start_time": "2024-09-04T21:18:13.618024", + "start_time": "2024-09-06T17:34:28.224702", "status": "completed" }, "tags": [] @@ -436,10 +436,10 @@ "id": "6346dfa4", "metadata": { "papermill": { - "duration": 0.003552, - "end_time": "2024-09-04T21:18:13.632175", + "duration": 0.003535, + "end_time": "2024-09-06T17:34:28.239293", "exception": false, - "start_time": "2024-09-04T21:18:13.628623", + "start_time": "2024-09-06T17:34:28.235758", "status": "completed" }, "tags": [] @@ -456,16 +456,16 @@ "id": "075dda6a", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:13.639622Z", - "iopub.status.busy": "2024-09-04T21:18:13.639529Z", - "iopub.status.idle": "2024-09-04T21:18:13.839338Z", - "shell.execute_reply": "2024-09-04T21:18:13.838967Z" + "iopub.execute_input": "2024-09-06T17:34:28.246796Z", + "iopub.status.busy": "2024-09-06T17:34:28.246676Z", + "iopub.status.idle": "2024-09-06T17:34:28.466574Z", + "shell.execute_reply": "2024-09-06T17:34:28.466241Z" }, "papermill": { - "duration": 0.204126, - "end_time": "2024-09-04T21:18:13.839899", + "duration": 0.224565, + "end_time": "2024-09-06T17:34:28.467194", "exception": false, - "start_time": "2024-09-04T21:18:13.635773", + "start_time": "2024-09-06T17:34:28.242629", "status": "completed" }, "tags": [] @@ -516,7 +516,7 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 100%|██████████| 4/4 [00:00<00:00, 68.35it/s]" + "(1/2) Reading Files: 100%|██████████| 4/4 [00:00<00:00, 64.50it/s]" ] }, { @@ -563,7 +563,7 @@ "output_type": "stream", "text": [ "\r", - "(2/2) Creating Thicket: 100%|██████████| 3/3 [00:00<00:00, 912.93it/s]" + "(2/2) Creating Thicket: 100%|██████████| 3/3 [00:00<00:00, 729.61it/s]" ] }, { @@ -626,7 +626,7 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 100%|██████████| 5/5 [00:00<00:00, 76.73it/s]" + "(1/2) Reading Files: 100%|██████████| 5/5 [00:00<00:00, 70.30it/s]" ] }, { @@ -681,7 +681,7 @@ "output_type": "stream", "text": [ "\r", - "(2/2) Creating Thicket: 100%|██████████| 4/4 [00:00<00:00, 752.85it/s]" + "(2/2) Creating Thicket: 100%|██████████| 4/4 [00:00<00:00, 647.64it/s]" ] }, { @@ -712,10 +712,10 @@ "id": "79187115", "metadata": { "papermill": { - "duration": 0.004073, - "end_time": "2024-09-04T21:18:13.848297", + "duration": 0.004339, + "end_time": "2024-09-06T17:34:28.476047", "exception": false, - "start_time": "2024-09-04T21:18:13.844224", + "start_time": "2024-09-06T17:34:28.471708", "status": "completed" }, "tags": [] @@ -733,16 +733,16 @@ "id": "80bce559", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:13.856741Z", - "iopub.status.busy": "2024-09-04T21:18:13.856635Z", - "iopub.status.idle": "2024-09-04T21:18:13.859205Z", - "shell.execute_reply": "2024-09-04T21:18:13.858918Z" + "iopub.execute_input": "2024-09-06T17:34:28.486567Z", + "iopub.status.busy": "2024-09-06T17:34:28.486434Z", + "iopub.status.idle": "2024-09-06T17:34:28.489564Z", + "shell.execute_reply": "2024-09-06T17:34:28.489104Z" }, "papermill": { - "duration": 0.00755, - "end_time": "2024-09-04T21:18:13.859730", + "duration": 0.010018, + "end_time": "2024-09-06T17:34:28.490309", "exception": false, - "start_time": "2024-09-04T21:18:13.852180", + "start_time": "2024-09-06T17:34:28.480291", "status": "completed" }, "tags": [] @@ -775,10 +775,10 @@ "id": "3840d6c6", "metadata": { "papermill": { - "duration": 0.004046, - "end_time": "2024-09-04T21:18:13.867774", + "duration": 0.004648, + "end_time": "2024-09-06T17:34:28.502780", "exception": false, - "start_time": "2024-09-04T21:18:13.863728", + "start_time": "2024-09-06T17:34:28.498132", "status": "completed" }, "tags": [] @@ -800,16 +800,16 @@ "id": "b9c694b3", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:13.875969Z", - "iopub.status.busy": "2024-09-04T21:18:13.875878Z", - "iopub.status.idle": "2024-09-04T21:18:13.915196Z", - "shell.execute_reply": "2024-09-04T21:18:13.914855Z" + "iopub.execute_input": "2024-09-06T17:34:28.512451Z", + "iopub.status.busy": "2024-09-06T17:34:28.512329Z", + "iopub.status.idle": "2024-09-06T17:34:28.553507Z", + "shell.execute_reply": "2024-09-06T17:34:28.553079Z" }, "papermill": { - "duration": 0.044082, - "end_time": "2024-09-04T21:18:13.915782", + "duration": 0.047047, + "end_time": "2024-09-06T17:34:28.554284", "exception": false, - "start_time": "2024-09-04T21:18:13.871700", + "start_time": "2024-09-06T17:34:28.507237", "status": "completed" }, "scrolled": true, @@ -5295,10 +5295,10 @@ "id": "d985a808", "metadata": { "papermill": { - "duration": 0.005502, - "end_time": "2024-09-04T21:18:13.927167", + "duration": 0.006764, + "end_time": "2024-09-06T17:34:28.567667", "exception": false, - "start_time": "2024-09-04T21:18:13.921665", + "start_time": "2024-09-06T17:34:28.560903", "status": "completed" }, "tags": [] @@ -5315,16 +5315,16 @@ "id": "a602cf90", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:13.938174Z", - "iopub.status.busy": "2024-09-04T21:18:13.938078Z", - "iopub.status.idle": "2024-09-04T21:18:13.945191Z", - "shell.execute_reply": "2024-09-04T21:18:13.944936Z" + "iopub.execute_input": "2024-09-06T17:34:28.580634Z", + "iopub.status.busy": "2024-09-06T17:34:28.580508Z", + "iopub.status.idle": "2024-09-06T17:34:28.588495Z", + "shell.execute_reply": "2024-09-06T17:34:28.588097Z" }, "papermill": { - "duration": 0.013376, - "end_time": "2024-09-04T21:18:13.945797", + "duration": 0.015543, + "end_time": "2024-09-06T17:34:28.589223", "exception": false, - "start_time": "2024-09-04T21:18:13.932421", + "start_time": "2024-09-06T17:34:28.573680", "status": "completed" }, "tags": [] @@ -5427,10 +5427,10 @@ "id": "519ddbb5", "metadata": { "papermill": { - "duration": 0.005272, - "end_time": "2024-09-04T21:18:13.956707", + "duration": 0.00704, + "end_time": "2024-09-06T17:34:28.602712", "exception": false, - "start_time": "2024-09-04T21:18:13.951435", + "start_time": "2024-09-06T17:34:28.595672", "status": "completed" }, "tags": [] @@ -5445,16 +5445,16 @@ "id": "7239b854", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:13.967832Z", - "iopub.status.busy": "2024-09-04T21:18:13.967736Z", - "iopub.status.idle": "2024-09-04T21:18:13.975157Z", - "shell.execute_reply": "2024-09-04T21:18:13.974883Z" + "iopub.execute_input": "2024-09-06T17:34:28.616128Z", + "iopub.status.busy": "2024-09-06T17:34:28.615943Z", + "iopub.status.idle": "2024-09-06T17:34:28.624452Z", + "shell.execute_reply": "2024-09-06T17:34:28.624070Z" }, "papermill": { - "duration": 0.013735, - "end_time": "2024-09-04T21:18:13.975759", + "duration": 0.016736, + "end_time": "2024-09-06T17:34:28.625222", "exception": false, - "start_time": "2024-09-04T21:18:13.962024", + "start_time": "2024-09-06T17:34:28.608486", "status": "completed" }, "tags": [] @@ -5557,10 +5557,10 @@ "id": "302ff7a5", "metadata": { "papermill": { - "duration": 0.005363, - "end_time": "2024-09-04T21:18:13.986665", + "duration": 0.006211, + "end_time": "2024-09-06T17:34:28.637890", "exception": false, - "start_time": "2024-09-04T21:18:13.981302", + "start_time": "2024-09-06T17:34:28.631679", "status": "completed" }, "tags": [] @@ -5579,16 +5579,16 @@ "id": "e7569694", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:13.997993Z", - "iopub.status.busy": "2024-09-04T21:18:13.997901Z", - "iopub.status.idle": "2024-09-04T21:18:14.003199Z", - "shell.execute_reply": "2024-09-04T21:18:14.002871Z" + "iopub.execute_input": "2024-09-06T17:34:28.651148Z", + "iopub.status.busy": "2024-09-06T17:34:28.651015Z", + "iopub.status.idle": "2024-09-06T17:34:28.657502Z", + "shell.execute_reply": "2024-09-06T17:34:28.657084Z" }, "papermill": { - "duration": 0.011598, - "end_time": "2024-09-04T21:18:14.003766", + "duration": 0.014422, + "end_time": "2024-09-06T17:34:28.658433", "exception": false, - "start_time": "2024-09-04T21:18:13.992168", + "start_time": "2024-09-06T17:34:28.644011", "status": "completed" }, "scrolled": true, @@ -5832,10 +5832,10 @@ "id": "ee64715c", "metadata": { "papermill": { - "duration": 0.005438, - "end_time": "2024-09-04T21:18:14.014837", + "duration": 0.006301, + "end_time": "2024-09-06T17:34:28.671050", "exception": false, - "start_time": "2024-09-04T21:18:14.009399", + "start_time": "2024-09-06T17:34:28.664749", "status": "completed" }, "tags": [] @@ -5852,16 +5852,16 @@ "id": "a5de9a0e", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:14.026562Z", - "iopub.status.busy": "2024-09-04T21:18:14.026454Z", - "iopub.status.idle": "2024-09-04T21:18:14.033160Z", - "shell.execute_reply": "2024-09-04T21:18:14.032888Z" + "iopub.execute_input": "2024-09-06T17:34:28.685049Z", + "iopub.status.busy": "2024-09-06T17:34:28.684910Z", + "iopub.status.idle": "2024-09-06T17:34:28.693691Z", + "shell.execute_reply": "2024-09-06T17:34:28.693270Z" }, "papermill": { - "duration": 0.013206, - "end_time": "2024-09-04T21:18:14.033687", + "duration": 0.016567, + "end_time": "2024-09-06T17:34:28.694477", "exception": false, - "start_time": "2024-09-04T21:18:14.020481", + "start_time": "2024-09-06T17:34:28.677910", "status": "completed" }, "tags": [] @@ -6037,10 +6037,10 @@ "id": "d74c0727", "metadata": { "papermill": { - "duration": 0.005769, - "end_time": "2024-09-04T21:18:14.045259", + "duration": 0.006206, + "end_time": "2024-09-06T17:34:28.707362", "exception": false, - "start_time": "2024-09-04T21:18:14.039490", + "start_time": "2024-09-06T17:34:28.701156", "status": "completed" }, "tags": [] @@ -6057,16 +6057,16 @@ "id": "05ffaf49", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:14.057157Z", - "iopub.status.busy": "2024-09-04T21:18:14.057055Z", - "iopub.status.idle": "2024-09-04T21:18:14.085215Z", - "shell.execute_reply": "2024-09-04T21:18:14.084923Z" + "iopub.execute_input": "2024-09-06T17:34:28.721667Z", + "iopub.status.busy": "2024-09-06T17:34:28.721519Z", + "iopub.status.idle": "2024-09-06T17:34:28.753608Z", + "shell.execute_reply": "2024-09-06T17:34:28.753196Z" }, "papermill": { - "duration": 0.034685, - "end_time": "2024-09-04T21:18:14.085801", + "duration": 0.039804, + "end_time": "2024-09-06T17:34:28.754303", "exception": false, - "start_time": "2024-09-04T21:18:14.051116", + "start_time": "2024-09-06T17:34:28.714499", "status": "completed" }, "tags": [] @@ -6077,7 +6077,7 @@ "output_type": "stream", "text": [ "4 thickets created...\n", - "{(1691446615, 1048576.0): , (1691446819, 2097152.0): , (1691446876, 4194304.0): , (1691449546, 8388608.0): }\n" + "{(1691446615, 1048576.0): , (1691446819, 2097152.0): , (1691446876, 4194304.0): , (1691449546, 8388608.0): }\n" ] }, { @@ -6642,10 +6642,10 @@ "id": "c6c00bbf", "metadata": { "papermill": { - "duration": 0.006194, - "end_time": "2024-09-04T21:18:14.098469", + "duration": 0.006814, + "end_time": "2024-09-06T17:34:28.768495", "exception": false, - "start_time": "2024-09-04T21:18:14.092275", + "start_time": "2024-09-06T17:34:28.761681", "status": "completed" }, "tags": [] @@ -6665,16 +6665,16 @@ "id": "0b57311d", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:14.111002Z", - "iopub.status.busy": "2024-09-04T21:18:14.110901Z", - "iopub.status.idle": "2024-09-04T21:18:14.114130Z", - "shell.execute_reply": "2024-09-04T21:18:14.113851Z" + "iopub.execute_input": "2024-09-06T17:34:28.783913Z", + "iopub.status.busy": "2024-09-06T17:34:28.783778Z", + "iopub.status.idle": "2024-09-06T17:34:28.788516Z", + "shell.execute_reply": "2024-09-06T17:34:28.788110Z" }, "papermill": { - "duration": 0.010259, - "end_time": "2024-09-04T21:18:14.114735", + "duration": 0.013664, + "end_time": "2024-09-06T17:34:28.789213", "exception": false, - "start_time": "2024-09-04T21:18:14.104476", + "start_time": "2024-09-06T17:34:28.775549", "status": "completed" }, "tags": [] @@ -6971,10 +6971,10 @@ "id": "4616737d", "metadata": { "papermill": { - "duration": 0.006185, - "end_time": "2024-09-04T21:18:14.127319", + "duration": 0.006961, + "end_time": "2024-09-06T17:34:28.803720", "exception": false, - "start_time": "2024-09-04T21:18:14.121134", + "start_time": "2024-09-06T17:34:28.796759", "status": "completed" }, "tags": [] @@ -6991,16 +6991,16 @@ "id": "0c2f3ea4", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:14.141003Z", - "iopub.status.busy": "2024-09-04T21:18:14.140911Z", - "iopub.status.idle": "2024-09-04T21:18:14.172304Z", - "shell.execute_reply": "2024-09-04T21:18:14.171999Z" + "iopub.execute_input": "2024-09-06T17:34:28.818934Z", + "iopub.status.busy": "2024-09-06T17:34:28.818812Z", + "iopub.status.idle": "2024-09-06T17:34:28.852575Z", + "shell.execute_reply": "2024-09-06T17:34:28.852098Z" }, "papermill": { - "duration": 0.039217, - "end_time": "2024-09-04T21:18:14.172925", + "duration": 0.042456, + "end_time": "2024-09-06T17:34:28.853366", "exception": false, - "start_time": "2024-09-04T21:18:14.133708", + "start_time": "2024-09-06T17:34:28.810910", "status": "completed" }, "tags": [] @@ -7059,10 +7059,10 @@ "id": "148474b0", "metadata": { "papermill": { - "duration": 0.006183, - "end_time": "2024-09-04T21:18:14.185762", + "duration": 0.007645, + "end_time": "2024-09-06T17:34:28.868696", "exception": false, - "start_time": "2024-09-04T21:18:14.179579", + "start_time": "2024-09-06T17:34:28.861051", "status": "completed" }, "tags": [] @@ -7081,16 +7081,16 @@ "id": "d38cc661", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:14.198609Z", - "iopub.status.busy": "2024-09-04T21:18:14.198508Z", - "iopub.status.idle": "2024-09-04T21:18:14.204112Z", - "shell.execute_reply": "2024-09-04T21:18:14.203820Z" + "iopub.execute_input": "2024-09-06T17:34:28.884670Z", + "iopub.status.busy": "2024-09-06T17:34:28.884513Z", + "iopub.status.idle": "2024-09-06T17:34:28.890549Z", + "shell.execute_reply": "2024-09-06T17:34:28.890096Z" }, "papermill": { - "duration": 0.012646, - "end_time": "2024-09-04T21:18:14.204641", + "duration": 0.015309, + "end_time": "2024-09-06T17:34:28.891245", "exception": false, - "start_time": "2024-09-04T21:18:14.191995", + "start_time": "2024-09-06T17:34:28.875936", "status": "completed" }, "tags": [] @@ -7456,16 +7456,16 @@ "id": "8aacec0c", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:14.218122Z", - "iopub.status.busy": "2024-09-04T21:18:14.218025Z", - "iopub.status.idle": "2024-09-04T21:18:14.223040Z", - "shell.execute_reply": "2024-09-04T21:18:14.222735Z" + "iopub.execute_input": "2024-09-06T17:34:28.907345Z", + "iopub.status.busy": "2024-09-06T17:34:28.907227Z", + "iopub.status.idle": "2024-09-06T17:34:28.914673Z", + "shell.execute_reply": "2024-09-06T17:34:28.914084Z" }, "papermill": { - "duration": 0.012208, - "end_time": "2024-09-04T21:18:14.223546", + "duration": 0.016091, + "end_time": "2024-09-06T17:34:28.915380", "exception": false, - "start_time": "2024-09-04T21:18:14.211338", + "start_time": "2024-09-06T17:34:28.899289", "status": "completed" }, "tags": [] @@ -7895,10 +7895,10 @@ "id": "5e8581b4", "metadata": { "papermill": { - "duration": 0.00637, - "end_time": "2024-09-04T21:18:14.236624", + "duration": 0.013191, + "end_time": "2024-09-06T17:34:28.937690", "exception": false, - "start_time": "2024-09-04T21:18:14.230254", + "start_time": "2024-09-06T17:34:28.924499", "status": "completed" }, "tags": [] @@ -7917,16 +7917,16 @@ "id": "0acd03eb", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:14.261967Z", - "iopub.status.busy": "2024-09-04T21:18:14.261847Z", - "iopub.status.idle": "2024-09-04T21:18:14.274117Z", - "shell.execute_reply": "2024-09-04T21:18:14.273839Z" + "iopub.execute_input": "2024-09-06T17:34:28.953536Z", + "iopub.status.busy": "2024-09-06T17:34:28.953412Z", + "iopub.status.idle": "2024-09-06T17:34:28.966510Z", + "shell.execute_reply": "2024-09-06T17:34:28.966137Z" }, "papermill": { - "duration": 0.031758, - "end_time": "2024-09-04T21:18:14.274772", + "duration": 0.021842, + "end_time": "2024-09-06T17:34:28.967250", "exception": false, - "start_time": "2024-09-04T21:18:14.243014", + "start_time": "2024-09-06T17:34:28.945408", "status": "completed" }, "scrolled": true, @@ -8555,10 +8555,10 @@ "id": "a9a78712", "metadata": { "papermill": { - "duration": 0.006803, - "end_time": "2024-09-04T21:18:14.289063", + "duration": 0.00921, + "end_time": "2024-09-06T17:34:28.984431", "exception": false, - "start_time": "2024-09-04T21:18:14.282260", + "start_time": "2024-09-06T17:34:28.975221", "status": "completed" }, "tags": [] @@ -8577,16 +8577,16 @@ "id": "420e8e39", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:14.303112Z", - "iopub.status.busy": "2024-09-04T21:18:14.303013Z", - "iopub.status.idle": "2024-09-04T21:18:14.309199Z", - "shell.execute_reply": "2024-09-04T21:18:14.308788Z" + "iopub.execute_input": "2024-09-06T17:34:29.014145Z", + "iopub.status.busy": "2024-09-06T17:34:29.013953Z", + "iopub.status.idle": "2024-09-06T17:34:29.020496Z", + "shell.execute_reply": "2024-09-06T17:34:29.020079Z" }, "papermill": { - "duration": 0.013863, - "end_time": "2024-09-04T21:18:14.309760", + "duration": 0.015787, + "end_time": "2024-09-06T17:34:29.021206", "exception": false, - "start_time": "2024-09-04T21:18:14.295897", + "start_time": "2024-09-06T17:34:29.005419", "status": "completed" }, "tags": [] @@ -8600,7 +8600,7 @@ " / /_ ____ _/ /______/ /_ ___ / /_\n", " / __ \\/ __ `/ __/ ___/ __ \\/ _ \\/ __/\n", " / / / / /_/ / /_/ /__/ / / / __/ /_ \n", - "/_/ /_/\\__,_/\\__/\\___/_/ /_/\\___/\\__/ v2024.1.2\n", + "/_/ /_/\\__,_/\\__/\\___/_/ /_/\\___/\\__/ v2024.1.1\n", "\n", "\u001b[38;5;196m5.074\u001b[0m RAJAPerf\u001b[0m\n", "├─ \u001b[38;5;22m0.016\u001b[0m Algorithm\u001b[0m\n", @@ -8689,10 +8689,10 @@ "id": "7b0cd1b2", "metadata": { "papermill": { - "duration": 0.006741, - "end_time": "2024-09-04T21:18:14.323532", + "duration": 0.008048, + "end_time": "2024-09-06T17:34:29.036880", "exception": false, - "start_time": "2024-09-04T21:18:14.316791", + "start_time": "2024-09-06T17:34:29.028832", "status": "completed" }, "tags": [] @@ -8711,16 +8711,16 @@ "id": "b704a382", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:14.337715Z", - "iopub.status.busy": "2024-09-04T21:18:14.337601Z", - "iopub.status.idle": "2024-09-04T21:18:14.345325Z", - "shell.execute_reply": "2024-09-04T21:18:14.345034Z" + "iopub.execute_input": "2024-09-06T17:34:29.053326Z", + "iopub.status.busy": "2024-09-06T17:34:29.053197Z", + "iopub.status.idle": "2024-09-06T17:34:29.060623Z", + "shell.execute_reply": "2024-09-06T17:34:29.060080Z" }, "papermill": { - "duration": 0.015384, - "end_time": "2024-09-04T21:18:14.345838", + "duration": 0.016932, + "end_time": "2024-09-06T17:34:29.061500", "exception": false, - "start_time": "2024-09-04T21:18:14.330454", + "start_time": "2024-09-06T17:34:29.044568", "status": "completed" }, "tags": [] @@ -8823,10 +8823,10 @@ "id": "fb9aa171", "metadata": { "papermill": { - "duration": 0.006804, - "end_time": "2024-09-04T21:18:14.359680", + "duration": 0.008002, + "end_time": "2024-09-06T17:34:29.077645", "exception": false, - "start_time": "2024-09-04T21:18:14.352876", + "start_time": "2024-09-06T17:34:29.069643", "status": "completed" }, "tags": [] @@ -8845,16 +8845,16 @@ "id": "809876aa", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:14.373929Z", - "iopub.status.busy": "2024-09-04T21:18:14.373836Z", - "iopub.status.idle": "2024-09-04T21:18:14.437317Z", - "shell.execute_reply": "2024-09-04T21:18:14.437036Z" + "iopub.execute_input": "2024-09-06T17:34:29.093873Z", + "iopub.status.busy": "2024-09-06T17:34:29.093748Z", + "iopub.status.idle": "2024-09-06T17:34:29.164662Z", + "shell.execute_reply": "2024-09-06T17:34:29.164267Z" }, "papermill": { - "duration": 0.071244, - "end_time": "2024-09-04T21:18:14.437814", + "duration": 0.080075, + "end_time": "2024-09-06T17:34:29.165421", "exception": false, - "start_time": "2024-09-04T21:18:14.366570", + "start_time": "2024-09-06T17:34:29.085346", "status": "completed" }, "tags": [] @@ -8892,7 +8892,7 @@ "name": "stderr", "output_type": "stream", "text": [ - ":2: DeprecationWarning: Old-style queries are deprecated as of Hatchet 2023.1.0 and will be removed in the future. Please use new-style queries instead. For QueryMatcher, the equivalent new-style queries are hatchet.query.Query for base-syntax queries and hatchet.query.ObjectQuery for the object-dialect.\n", + ":2: DeprecationWarning: Old-style queries are deprecated as of Hatchet 2023.1.0 and will be removed in the future. Please use new-style queries instead. For QueryMatcher, the equivalent new-style queries are hatchet.query.Query for base-syntax queries and hatchet.query.ObjectQuery for the object-dialect.\n", " ht.QueryMatcher()\n" ] } @@ -8922,10 +8922,10 @@ "id": "3a45f87e", "metadata": { "papermill": { - "duration": 0.006913, - "end_time": "2024-09-04T21:18:14.451710", + "duration": 0.008101, + "end_time": "2024-09-06T17:34:29.181984", "exception": false, - "start_time": "2024-09-04T21:18:14.444797", + "start_time": "2024-09-06T17:34:29.173883", "status": "completed" }, "tags": [] @@ -8944,16 +8944,16 @@ "id": "74750802", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:14.465984Z", - "iopub.status.busy": "2024-09-04T21:18:14.465886Z", - "iopub.status.idle": "2024-09-04T21:18:14.518167Z", - "shell.execute_reply": "2024-09-04T21:18:14.517835Z" + "iopub.execute_input": "2024-09-06T17:34:29.200349Z", + "iopub.status.busy": "2024-09-06T17:34:29.200217Z", + "iopub.status.idle": "2024-09-06T17:34:29.260769Z", + "shell.execute_reply": "2024-09-06T17:34:29.260297Z" }, "papermill": { - "duration": 0.060111, - "end_time": "2024-09-04T21:18:14.518778", + "duration": 0.070884, + "end_time": "2024-09-06T17:34:29.261568", "exception": false, - "start_time": "2024-09-04T21:18:14.458667", + "start_time": "2024-09-06T17:34:29.190684", "status": "completed" }, "tags": [] @@ -8990,7 +8990,7 @@ "name": "stderr", "output_type": "stream", "text": [ - ":2: DeprecationWarning: Old-style queries are deprecated as of Hatchet 2023.1.0 and will be removed in the future. Please use new-style queries instead. For QueryMatcher, the equivalent new-style queries are hatchet.query.Query for base-syntax queries and hatchet.query.ObjectQuery for the object-dialect.\n", + ":2: DeprecationWarning: Old-style queries are deprecated as of Hatchet 2023.1.0 and will be removed in the future. Please use new-style queries instead. For QueryMatcher, the equivalent new-style queries are hatchet.query.Query for base-syntax queries and hatchet.query.ObjectQuery for the object-dialect.\n", " ht.QueryMatcher()\n" ] } @@ -9020,10 +9020,10 @@ "id": "f56f29bf", "metadata": { "papermill": { - "duration": 0.007085, - "end_time": "2024-09-04T21:18:14.533068", + "duration": 0.008543, + "end_time": "2024-09-06T17:34:29.278901", "exception": false, - "start_time": "2024-09-04T21:18:14.525983", + "start_time": "2024-09-06T17:34:29.270358", "status": "completed" }, "tags": [] @@ -9051,16 +9051,16 @@ "id": "d54ec820", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:14.547521Z", - "iopub.status.busy": "2024-09-04T21:18:14.547419Z", - "iopub.status.idle": "2024-09-04T21:18:14.550288Z", - "shell.execute_reply": "2024-09-04T21:18:14.550007Z" + "iopub.execute_input": "2024-09-06T17:34:29.295916Z", + "iopub.status.busy": "2024-09-06T17:34:29.295768Z", + "iopub.status.idle": "2024-09-06T17:34:29.298534Z", + "shell.execute_reply": "2024-09-06T17:34:29.298109Z" }, "papermill": { - "duration": 0.010723, - "end_time": "2024-09-04T21:18:14.550838", + "duration": 0.01213, + "end_time": "2024-09-06T17:34:29.299246", "exception": false, - "start_time": "2024-09-04T21:18:14.540115", + "start_time": "2024-09-06T17:34:29.287116", "status": "completed" }, "tags": [] @@ -9098,16 +9098,16 @@ "id": "4f8365ec", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:14.565245Z", - "iopub.status.busy": "2024-09-04T21:18:14.565146Z", - "iopub.status.idle": "2024-09-04T21:18:14.568217Z", - "shell.execute_reply": "2024-09-04T21:18:14.567938Z" + "iopub.execute_input": "2024-09-06T17:34:29.316304Z", + "iopub.status.busy": "2024-09-06T17:34:29.316174Z", + "iopub.status.idle": "2024-09-06T17:34:29.319531Z", + "shell.execute_reply": "2024-09-06T17:34:29.319100Z" }, "papermill": { - "duration": 0.010815, - "end_time": "2024-09-04T21:18:14.568729", + "duration": 0.012653, + "end_time": "2024-09-06T17:34:29.320315", "exception": false, - "start_time": "2024-09-04T21:18:14.557914", + "start_time": "2024-09-06T17:34:29.307662", "status": "completed" }, "tags": [] @@ -9123,16 +9123,16 @@ "id": "6d836906", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:14.583023Z", - "iopub.status.busy": "2024-09-04T21:18:14.582932Z", - "iopub.status.idle": "2024-09-04T21:18:14.640062Z", - "shell.execute_reply": "2024-09-04T21:18:14.639707Z" + "iopub.execute_input": "2024-09-06T17:34:29.337220Z", + "iopub.status.busy": "2024-09-06T17:34:29.337078Z", + "iopub.status.idle": "2024-09-06T17:34:29.407805Z", + "shell.execute_reply": "2024-09-06T17:34:29.407386Z" }, "papermill": { - "duration": 0.064936, - "end_time": "2024-09-04T21:18:14.640616", + "duration": 0.080025, + "end_time": "2024-09-06T17:34:29.408523", "exception": false, - "start_time": "2024-09-04T21:18:14.575680", + "start_time": "2024-09-06T17:34:29.328498", "status": "completed" }, "tags": [] @@ -9150,7 +9150,7 @@ }, { "data": { - "image/png": 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" ] @@ -9177,10 +9177,10 @@ "id": "82aed129", "metadata": { "papermill": { - "duration": 0.007285, - "end_time": "2024-09-04T21:18:14.655634", + "duration": 0.008495, + "end_time": "2024-09-06T17:34:29.425302", "exception": false, - "start_time": "2024-09-04T21:18:14.648349", + "start_time": "2024-09-06T17:34:29.416807", "status": "completed" }, "tags": [] @@ -9205,16 +9205,16 @@ "id": "f6b61323", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:14.670376Z", - "iopub.status.busy": "2024-09-04T21:18:14.670271Z", - "iopub.status.idle": "2024-09-04T21:18:14.672976Z", - "shell.execute_reply": "2024-09-04T21:18:14.672709Z" + "iopub.execute_input": "2024-09-06T17:34:29.442270Z", + "iopub.status.busy": "2024-09-06T17:34:29.442135Z", + "iopub.status.idle": "2024-09-06T17:34:29.445554Z", + "shell.execute_reply": "2024-09-06T17:34:29.445122Z" }, "papermill": { - "duration": 0.010744, - "end_time": "2024-09-04T21:18:14.673620", + "duration": 0.012792, + "end_time": 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"text/plain": [ "
" ] @@ -9301,10 +9301,10 @@ "id": "ff3d03c8", "metadata": { "papermill": { - "duration": 0.007656, - "end_time": "2024-09-04T21:18:14.845845", + "duration": 0.009046, + "end_time": "2024-09-06T17:34:29.610606", "exception": false, - "start_time": "2024-09-04T21:18:14.838189", + "start_time": "2024-09-06T17:34:29.601560", "status": "completed" }, "tags": [] @@ -9318,10 +9318,10 @@ "id": "d0a93a51", "metadata": { "papermill": { - "duration": 0.007525, - "end_time": "2024-09-04T21:18:14.861147", + "duration": 0.009155, + "end_time": "2024-09-06T17:34:29.631897", "exception": false, - "start_time": "2024-09-04T21:18:14.853622", + "start_time": "2024-09-06T17:34:29.622742", "status": "completed" }, "tags": [] @@ -9338,16 +9338,16 @@ "id": "c6b6efbc", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:14.876827Z", - "iopub.status.busy": "2024-09-04T21:18:14.876720Z", - "iopub.status.idle": "2024-09-04T21:18:14.879139Z", - "shell.execute_reply": "2024-09-04T21:18:14.878891Z" + "iopub.execute_input": "2024-09-06T17:34:29.654875Z", + "iopub.status.busy": "2024-09-06T17:34:29.654736Z", + "iopub.status.idle": "2024-09-06T17:34:29.657516Z", + "shell.execute_reply": "2024-09-06T17:34:29.657121Z" }, "papermill": { - "duration": 0.010956, - "end_time": "2024-09-04T21:18:14.879677", + "duration": 0.013228, + "end_time": "2024-09-06T17:34:29.658212", "exception": false, - "start_time": "2024-09-04T21:18:14.868721", + "start_time": "2024-09-06T17:34:29.644984", "status": "completed" }, "tags": [] @@ -9368,16 +9368,16 @@ "id": "00ae04a4", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:14.895083Z", - "iopub.status.busy": "2024-09-04T21:18:14.894990Z", - "iopub.status.idle": "2024-09-04T21:18:15.250389Z", - "shell.execute_reply": "2024-09-04T21:18:15.250032Z" + "iopub.execute_input": "2024-09-06T17:34:29.677045Z", + "iopub.status.busy": "2024-09-06T17:34:29.676914Z", + "iopub.status.idle": "2024-09-06T17:34:30.141584Z", + "shell.execute_reply": "2024-09-06T17:34:30.141102Z" }, "papermill": { - "duration": 0.363733, - "end_time": "2024-09-04T21:18:15.250997", + "duration": 0.475268, + "end_time": "2024-09-06T17:34:30.142432", "exception": false, - "start_time": "2024-09-04T21:18:14.887264", + "start_time": "2024-09-06T17:34:29.667164", "status": "completed" }, "tags": [] @@ -9428,7 +9428,15 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 100%|██████████| 4/4 [00:00<00:00, 74.30it/s]" + "(1/2) Reading Files: 100%|██████████| 4/4 [00:00<00:00, 38.90it/s]" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\r", + "(1/2) Reading Files: 100%|██████████| 4/4 [00:00<00:00, 38.76it/s]" ] }, { @@ -9475,7 +9483,7 @@ "output_type": "stream", "text": [ "\r", - "(2/2) Creating Thicket: 100%|██████████| 3/3 [00:00<00:00, 763.94it/s]" + "(2/2) Creating Thicket: 100%|██████████| 3/3 [00:00<00:00, 724.66it/s]" ] }, { @@ -9530,7 +9538,7 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 100%|██████████| 4/4 [00:00<00:00, 74.43it/s]" + "(1/2) Reading Files: 100%|██████████| 4/4 [00:00<00:00, 63.40it/s]" ] }, { @@ -9577,7 +9585,7 @@ "output_type": "stream", "text": [ "\r", - "(2/2) Creating Thicket: 100%|██████████| 3/3 [00:00<00:00, 777.06it/s]" + "(2/2) Creating Thicket: 100%|██████████| 3/3 [00:00<00:00, 727.25it/s]" ] }, { @@ -9632,7 +9640,7 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 100%|██████████| 4/4 [00:00<00:00, 78.18it/s]" + "(1/2) Reading Files: 100%|██████████| 4/4 [00:00<00:00, 62.54it/s]" ] }, { @@ -9679,7 +9687,7 @@ "output_type": "stream", "text": [ "\r", - "(2/2) Creating Thicket: 100%|██████████| 3/3 [00:00<00:00, 833.47it/s]" + "(2/2) Creating Thicket: 100%|██████████| 3/3 [00:00<00:00, 758.01it/s]" ] }, { @@ -9734,7 +9742,7 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 100%|██████████| 4/4 [00:00<00:00, 77.40it/s]" + "(1/2) Reading Files: 100%|██████████| 4/4 [00:00<00:00, 62.16it/s]" ] }, { @@ -9781,7 +9789,7 @@ "output_type": "stream", "text": [ "\r", - "(2/2) Creating Thicket: 100%|██████████| 3/3 [00:00<00:00, 906.88it/s]" + "(2/2) Creating Thicket: 100%|██████████| 3/3 [00:00<00:00, 756.59it/s]" ] }, { @@ -9804,10 +9812,10 @@ "id": "9d524066", "metadata": { "papermill": { - "duration": 0.008357, - "end_time": "2024-09-04T21:18:15.268372", + "duration": 0.010274, + "end_time": "2024-09-06T17:34:30.162914", "exception": false, - "start_time": "2024-09-04T21:18:15.260015", + "start_time": "2024-09-06T17:34:30.152640", "status": "completed" }, "tags": [] @@ -9822,16 +9830,16 @@ "id": "47bc1714", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:15.285783Z", - "iopub.status.busy": "2024-09-04T21:18:15.285682Z", - "iopub.status.idle": "2024-09-04T21:18:15.329256Z", - "shell.execute_reply": "2024-09-04T21:18:15.328959Z" + "iopub.execute_input": "2024-09-06T17:34:30.183246Z", + "iopub.status.busy": "2024-09-06T17:34:30.183118Z", + "iopub.status.idle": "2024-09-06T17:34:30.234803Z", + "shell.execute_reply": "2024-09-06T17:34:30.234233Z" }, "papermill": { - "duration": 0.052852, - "end_time": "2024-09-04T21:18:15.329815", + "duration": 0.0632, + "end_time": "2024-09-06T17:34:30.235587", "exception": false, - "start_time": "2024-09-04T21:18:15.276963", + "start_time": "2024-09-06T17:34:30.172387", "status": "completed" }, "tags": [] @@ -9874,7 +9882,7 @@ "output_type": "stream", "text": [ "\r", - "(2/2) Creating Thicket: 100%|██████████| 3/3 [00:00<00:00, 839.64it/s]" + "(2/2) Creating Thicket: 100%|██████████| 3/3 [00:00<00:00, 669.84it/s]" ] }, { @@ -9899,16 +9907,16 @@ "id": "50b8f1a5", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:15.347662Z", - "iopub.status.busy": "2024-09-04T21:18:15.347560Z", - "iopub.status.idle": "2024-09-04T21:18:15.489310Z", - "shell.execute_reply": "2024-09-04T21:18:15.488981Z" + "iopub.execute_input": "2024-09-06T17:34:30.256500Z", + "iopub.status.busy": "2024-09-06T17:34:30.256366Z", + "iopub.status.idle": "2024-09-06T17:34:30.408701Z", + "shell.execute_reply": "2024-09-06T17:34:30.408233Z" }, "papermill": { - "duration": 0.151663, - "end_time": "2024-09-04T21:18:15.490333", + "duration": 0.16459, + "end_time": "2024-09-06T17:34:30.410198", "exception": false, - "start_time": "2024-09-04T21:18:15.338670", + "start_time": "2024-09-06T17:34:30.245608", "status": "completed" }, "tags": [] @@ -28268,10 +28276,10 @@ "id": "7bb229fb", "metadata": { "papermill": { - "duration": 0.014557, - "end_time": "2024-09-04T21:18:15.519921", + "duration": 0.016638, + "end_time": "2024-09-06T17:34:30.443654", "exception": false, - "start_time": "2024-09-04T21:18:15.505364", + "start_time": "2024-09-06T17:34:30.427016", "status": "completed" }, "tags": [] @@ -28286,16 +28294,16 @@ "id": "ab923432", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:15.549857Z", - "iopub.status.busy": "2024-09-04T21:18:15.549740Z", - "iopub.status.idle": "2024-09-04T21:18:15.613413Z", - "shell.execute_reply": "2024-09-04T21:18:15.613089Z" + "iopub.execute_input": "2024-09-06T17:34:30.477790Z", + "iopub.status.busy": "2024-09-06T17:34:30.477643Z", + "iopub.status.idle": "2024-09-06T17:34:30.549806Z", + "shell.execute_reply": "2024-09-06T17:34:30.549434Z" }, "papermill": { - "duration": 0.079605, - "end_time": "2024-09-04T21:18:15.613960", + "duration": 0.090162, + "end_time": "2024-09-06T17:34:30.550582", "exception": false, - "start_time": "2024-09-04T21:18:15.534355", + "start_time": "2024-09-06T17:34:30.460420", "status": "completed" }, "tags": [] @@ -28338,7 +28346,7 @@ "output_type": "stream", "text": [ "\r", - "(2/2) Creating Thicket: 100%|██████████| 3/3 [00:00<00:00, 803.04it/s]" + "(2/2) Creating Thicket: 100%|██████████| 3/3 [00:00<00:00, 703.58it/s]" ] }, { @@ -28364,16 +28372,16 @@ "id": "ade73d3e", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:15.644486Z", - "iopub.status.busy": "2024-09-04T21:18:15.644383Z", - "iopub.status.idle": "2024-09-04T21:18:15.785171Z", - "shell.execute_reply": "2024-09-04T21:18:15.784859Z" + "iopub.execute_input": "2024-09-06T17:34:30.585230Z", + "iopub.status.busy": "2024-09-06T17:34:30.585101Z", + "iopub.status.idle": "2024-09-06T17:34:30.736567Z", + "shell.execute_reply": "2024-09-06T17:34:30.736143Z" }, "papermill": { - "duration": 0.157492, - "end_time": "2024-09-04T21:18:15.786437", + "duration": 0.170009, + "end_time": "2024-09-06T17:34:30.737901", "exception": false, - "start_time": "2024-09-04T21:18:15.628945", + "start_time": "2024-09-06T17:34:30.567892", "status": "completed" }, "tags": [] @@ -43604,10 +43612,10 @@ "id": "70821260", "metadata": { "papermill": { - "duration": 0.019632, - "end_time": "2024-09-04T21:18:15.825776", + "duration": 0.020598, + "end_time": "2024-09-06T17:34:30.781791", "exception": false, - "start_time": "2024-09-04T21:18:15.806144", + "start_time": "2024-09-06T17:34:30.761193", "status": "completed" }, "tags": [] @@ -43622,16 +43630,16 @@ "id": "ec881a36", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:15.865743Z", - "iopub.status.busy": "2024-09-04T21:18:15.865610Z", - "iopub.status.idle": "2024-09-04T21:18:16.252262Z", - "shell.execute_reply": "2024-09-04T21:18:16.251889Z" + "iopub.execute_input": "2024-09-06T17:34:30.827982Z", + "iopub.status.busy": "2024-09-06T17:34:30.827830Z", + "iopub.status.idle": "2024-09-06T17:34:31.285828Z", + "shell.execute_reply": "2024-09-06T17:34:31.285326Z" }, "papermill": { - "duration": 0.40754, - "end_time": "2024-09-04T21:18:16.252876", + "duration": 0.482015, + "end_time": "2024-09-06T17:34:31.286636", "exception": false, - "start_time": "2024-09-04T21:18:15.845336", + "start_time": "2024-09-06T17:34:30.804621", "status": "completed" }, "tags": [] @@ -43706,7 +43714,7 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 44%|████▍ | 7/16 [00:00<00:00, 54.55it/s]" + "(1/2) Reading Files: 44%|████▍ | 7/16 [00:00<00:00, 66.46it/s]" ] }, { @@ -43714,7 +43722,7 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 44%|████▍ | 7/16 [00:00<00:00, 54.55it/s]" + "(1/2) Reading Files: 44%|████▍ | 7/16 [00:00<00:00, 66.46it/s]" ] }, { @@ -43722,7 +43730,7 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 44%|████▍ | 7/16 [00:00<00:00, 54.55it/s]" + "(1/2) Reading Files: 44%|████▍ | 7/16 [00:00<00:00, 66.46it/s]" ] }, { @@ -43730,7 +43738,7 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 44%|████▍ | 7/16 [00:00<00:00, 54.55it/s]" + "(1/2) Reading Files: 44%|████▍ | 7/16 [00:00<00:00, 66.46it/s]" ] }, { @@ -43738,7 +43746,7 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 44%|████▍ | 7/16 [00:00<00:00, 54.55it/s]" + "(1/2) Reading Files: 44%|████▍ | 7/16 [00:00<00:00, 66.46it/s]" ] }, { @@ -43746,7 +43754,7 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 44%|████▍ | 7/16 [00:00<00:00, 54.55it/s]" + "(1/2) Reading Files: 44%|████▍ | 7/16 [00:00<00:00, 66.46it/s]" ] }, { @@ -43754,7 +43762,7 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 44%|████▍ | 7/16 [00:00<00:00, 54.55it/s]" + "(1/2) Reading Files: 44%|████▍ | 7/16 [00:00<00:00, 66.46it/s]" ] }, { @@ -43762,7 +43770,7 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 44%|████▍ | 7/16 [00:00<00:00, 54.55it/s]" + "(1/2) Reading Files: 44%|████▍ | 7/16 [00:00<00:00, 66.46it/s]" ] }, { @@ -43770,7 +43778,7 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 44%|████▍ | 7/16 [00:00<00:00, 54.55it/s]" + "(1/2) Reading Files: 88%|████████▊ | 14/16 [00:00<00:00, 65.34it/s]" ] }, { @@ -43778,7 +43786,7 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 94%|█████████▍| 15/16 [00:00<00:00, 66.22it/s]" + "(1/2) Reading Files: 88%|████████▊ | 14/16 [00:00<00:00, 65.34it/s]" ] }, { @@ -43786,7 +43794,7 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 94%|█████████▍| 15/16 [00:00<00:00, 66.22it/s]" + "(1/2) Reading Files: 88%|████████▊ | 14/16 [00:00<00:00, 65.34it/s]" ] }, { @@ -43794,7 +43802,7 @@ "output_type": "stream", "text": [ "\r", - "(1/2) Reading Files: 100%|██████████| 16/16 [00:00<00:00, 64.80it/s]" + "(1/2) Reading Files: 100%|██████████| 16/16 [00:00<00:00, 65.57it/s]" ] }, { @@ -43937,7 +43945,7 @@ "output_type": "stream", "text": [ "\r", - "(2/2) Creating Thicket: 100%|██████████| 15/15 [00:00<00:00, 284.94it/s]" + "(2/2) Creating Thicket: 100%|██████████| 15/15 [00:00<00:00, 246.63it/s]" ] }, { @@ -43958,16 +43966,16 @@ "id": "21939fb0", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:16.294442Z", - "iopub.status.busy": "2024-09-04T21:18:16.294332Z", - "iopub.status.idle": "2024-09-04T21:18:16.309264Z", - "shell.execute_reply": "2024-09-04T21:18:16.308944Z" + "iopub.execute_input": "2024-09-06T17:34:31.335257Z", + "iopub.status.busy": "2024-09-06T17:34:31.335070Z", + "iopub.status.idle": "2024-09-06T17:34:31.353894Z", + "shell.execute_reply": "2024-09-06T17:34:31.353406Z" }, "papermill": { - "duration": 0.036043, - "end_time": "2024-09-04T21:18:16.309814", + "duration": 0.044402, + "end_time": "2024-09-06T17:34:31.354785", "exception": false, - "start_time": "2024-09-04T21:18:16.273771", + "start_time": "2024-09-06T17:34:31.310383", "status": "completed" }, "tags": [] @@ -43978,7 +43986,7 @@ "output_type": "stream", "text": [ "4 thickets created...\n", - "{'block_1024': , 'block_128': , 'block_256': , 'block_512': }\n" + "{'block_1024': , 'block_128': , 'block_256': , 'block_512': }\n" ] } ], @@ -43992,16 +44000,16 @@ "id": "aab1ab79", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:16.350922Z", - "iopub.status.busy": "2024-09-04T21:18:16.350817Z", - "iopub.status.idle": "2024-09-04T21:18:16.416136Z", - "shell.execute_reply": "2024-09-04T21:18:16.415849Z" + "iopub.execute_input": "2024-09-06T17:34:31.408288Z", + "iopub.status.busy": "2024-09-06T17:34:31.408146Z", + "iopub.status.idle": "2024-09-06T17:34:31.489526Z", + "shell.execute_reply": "2024-09-06T17:34:31.489107Z" }, "papermill": { - "duration": 0.086648, - "end_time": "2024-09-04T21:18:16.416691", + "duration": 0.117703, + "end_time": "2024-09-06T17:34:31.495855", "exception": false, - "start_time": "2024-09-04T21:18:16.330043", + "start_time": "2024-09-06T17:34:31.378152", "status": "completed" }, "tags": [] @@ -44044,7 +44052,7 @@ "output_type": "stream", "text": [ "\r", - "(2/2) Creating Thicket: 100%|██████████| 3/3 [00:00<00:00, 798.71it/s]" + "(2/2) Creating Thicket: 100%|██████████| 3/3 [00:00<00:00, 696.65it/s]" ] }, { @@ -44070,16 +44078,16 @@ "id": "77a9b9b8", "metadata": { "execution": { - "iopub.execute_input": "2024-09-04T21:18:16.458474Z", - "iopub.status.busy": "2024-09-04T21:18:16.458368Z", - "iopub.status.idle": "2024-09-04T21:18:16.600315Z", - "shell.execute_reply": "2024-09-04T21:18:16.599995Z" + "iopub.execute_input": "2024-09-06T17:34:31.586293Z", + "iopub.status.busy": "2024-09-06T17:34:31.586150Z", + "iopub.status.idle": "2024-09-06T17:34:31.742623Z", + "shell.execute_reply": "2024-09-06T17:34:31.742202Z" }, "papermill": { - 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