From af7aa3b155cad925eeae49c4b094cb138eba3fa1 Mon Sep 17 00:00:00 2001 From: Ethan Marx <61295922+EthanMarx@users.noreply.github.com> Date: Tue, 6 Feb 2024 16:34:12 -0500 Subject: [PATCH 01/13] Allow parsing input tensors from torch `ScriptModules` (#57) * add ability to parse inputs from script module * update torch dep to ^2.0 for consistency with ml4gw * add onnx dep * remove both tests * remove both tests --- hermes/quiver/exporters/torch_onnx.py | 21 +- poetry.lock | 342 ++++++++++++++++++++++++-- pyproject.toml | 5 +- tox.ini | 10 +- 4 files changed, 338 insertions(+), 40 deletions(-) diff --git a/hermes/quiver/exporters/torch_onnx.py b/hermes/quiver/exporters/torch_onnx.py index 45b14fc..eecfb5d 100644 --- a/hermes/quiver/exporters/torch_onnx.py +++ b/hermes/quiver/exporters/torch_onnx.py @@ -14,6 +14,14 @@ from hermes.quiver.exporters import Exporter +def get_input_names_from_script_module(m): + graph = m.graph + input_names = [node.debugName().split(".")[0] for node in graph.inputs()] + if "self" in input_names: + input_names.remove("self") + return OrderedDict({name: name for name in input_names}) + + class TorchOnnxMeta(abc.ABCMeta): @property def handles(self): @@ -55,11 +63,14 @@ def _get_output_shapes(self, model_fn, output_names): # generate an input array of random data input_tensors[input.name] = self._get_tensor(input.dims) - # use function signature from module.forward - # to figure out in which order to pass input - # tensors to the model_fn - signature = inspect.signature(model_fn.forward) - parameters = OrderedDict(signature.parameters) + # parse script module to figure out in which order + # to pass input tensors to the model_fn + if isinstance(model_fn, torch.jit.ScriptModule): + parameters = get_input_names_from_script_module(model_fn) + # otherwise use function signature from module.forward + else: + signature = inspect.signature(model_fn.forward) + parameters = OrderedDict(signature.parameters) # make sure the number of inputs to # 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+content-hash = "a32cc5daeb679b9541a77a31e1d5c26350a891d21b6c5bae4043b5417c093214" diff --git a/pyproject.toml b/pyproject.toml index b10f53e..86d6d81 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -30,14 +30,15 @@ requests = "^2.26.0" # quiver optional dependencies tensorflow = {version = "^2.3", optional = true} -torch = {version = "^1.7", optional = true} +torch = {version = "^2.0", optional = true} google-cloud-storage = {version = "^1.38", optional = true } nvidia-tensorrt = { version = "^8.0", optional = true, source = "ngc" } +onnx = {version = "^1.15.0", optional = true} [tool.poetry.extras] # quiver tensorflow = ["tensorflow"] -torch = ["torch", "urllib3"] +torch = ["torch", "onnx", "urllib3"] gcs = ["google-cloud-storage"] tensorrt = ["nvidia-tensorrt"] diff --git a/tox.ini b/tox.ini index cc7fda4..06300b2 100644 --- a/tox.ini +++ b/tox.ini @@ -1,5 +1,5 @@ [tox] -envlist = py{38,39,310,311}-{aeriel,tf,torch,both} +envlist = py{38,39,310,311}-{aeriel,tf,torch} isolated_build = true [gh-actions] @@ -31,11 +31,3 @@ extras = torch setenv = test_dir = tests/quiver marker = "not gcs and not tensorflow" - -[testenv:py{38,39,310,311}-both] -extras = - torch - tensorflow -setenv = - marker = "not gcs" - test_dir = tests/quiver From 86c6a2478c93ac2e7cf50039de7528023579bd5e Mon Sep 17 00:00:00 2001 From: Ethan Marx <61295922+EthanMarx@users.noreply.github.com> Date: Wed, 15 May 2024 12:33:18 -0400 Subject: [PATCH 02/13] Batched state updates (#59) * allow for batched state updates * update poetry lock * restrict tf version * revert whitespaces --- hermes/aeriel/client/client.py | 7 ++++++- poetry.lock | 7 ++++--- pyproject.toml | 2 +- 3 files changed, 11 insertions(+), 5 deletions(-) diff --git a/hermes/aeriel/client/client.py b/hermes/aeriel/client/client.py index 0398872..4606e69 100644 --- a/hermes/aeriel/client/client.py +++ b/hermes/aeriel/client/client.py @@ -497,8 +497,13 @@ def infer( except KeyError: raise ValueError(f"Missing state {name}") + # sometimes we can have a batched state, in which + # case don't append a batch dimension + if shape[0] == 1 and value.ndim < len(shape): + value = value[None] + # add the update to our running list of updates - state_values.append(value[None]) + state_values.append(value) # if we have more than one state, combine them # into a single tensor along the channel axis diff --git a/poetry.lock b/poetry.lock index 46d2caf..fddc468 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2093,7 +2093,7 @@ signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"] name = "onnx" version = "1.15.0" description = "Open Neural Network Exchange" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "onnx-1.15.0-cp310-cp310-macosx_10_12_universal2.whl", hash = "sha256:51cacb6aafba308aaf462252ced562111f6991cdc7bc57a6c554c3519453a8ff"}, @@ -2484,6 +2484,7 @@ files = [ {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = 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["coverage (>=5.0.3)", "zope.event", "zope.testing"] gcs = ["google-cloud-storage"] tensorflow = ["tensorflow"] tensorrt = ["nvidia-tensorrt"] -torch = ["torch", "urllib3"] +torch = ["onnx", "torch", "urllib3"] [metadata] lock-version = "2.0" python-versions = ">=3.8,<3.12" -content-hash = "a32cc5daeb679b9541a77a31e1d5c26350a891d21b6c5bae4043b5417c093214" +content-hash = "ead8ff14ef32e6eacd3b6717b1736acdf541b70c30b3ac0f810a61fe6e48d493" diff --git a/pyproject.toml b/pyproject.toml index 86d6d81..1fb7320 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -29,7 +29,7 @@ protobuf = "^3.17" requests = "^2.26.0" # quiver optional dependencies -tensorflow = {version = "^2.3", optional = true} +tensorflow = {version = "<2.14", optional = true} torch = {version = "^2.0", optional = true} google-cloud-storage = {version = "^1.38", optional = true } nvidia-tensorrt = { version = "^8.0", optional = true, source = "ngc" } From 1970b935730fc959bea131ebed8a46f23c284326 Mon Sep 17 00:00:00 2001 From: William Benoit Date: Wed, 25 Sep 2024 15:29:25 -0700 Subject: [PATCH 03/13] Allow python 3.12 and explicitly list PyPI as a source for future compatibility --- poetry.lock | 2238 ++++++++++++++++++++++++++---------------------- pyproject.toml | 8 +- 2 files changed, 1215 insertions(+), 1031 deletions(-) diff --git a/poetry.lock b/poetry.lock index fddc468..a0893a9 100644 --- a/poetry.lock +++ b/poetry.lock @@ -11,101 +11,128 @@ files = [ {file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"}, ] +[[package]] +name = "aiohappyeyeballs" +version = "2.4.0" +description = "Happy Eyeballs for asyncio" +optional = false +python-versions = ">=3.8" +files = [ + {file = "aiohappyeyeballs-2.4.0-py3-none-any.whl", hash = "sha256:7ce92076e249169a13c2f49320d1967425eaf1f407522d707d59cac7628d62bd"}, + {file = "aiohappyeyeballs-2.4.0.tar.gz", hash = "sha256:55a1714f084e63d49639800f95716da97a1f173d46a16dfcfda0016abb93b6b2"}, +] + 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+++ b/pyproject.toml @@ -11,7 +11,7 @@ packages = [ ] [tool.poetry.dependencies] -python = ">=3.8,<3.12" +python = ">=3.8,<3.13" tritonclient = {extras = ["all"], version = "^2.22"} # aeriel.client @@ -53,9 +53,13 @@ sphinx = "^4.1" sphinx-material = "^0.0.34" [[tool.poetry.source]] -# NVIDIA pypi repo for tensorrt install name = "ngc" url = "https://pypi.ngc.nvidia.com" +priority = "primary" + +[[tool.poetry.source]] +name = "PyPI" +priority = "primary" [tool.pytest.ini_options] markers = [ From 8ceba2a386f0cd90b1448bf49219d6e5ac3f0583 Mon Sep 17 00:00:00 2001 From: William Benoit Date: Wed, 25 Sep 2024 15:32:39 -0700 Subject: [PATCH 04/13] Add python 3.12 to unit tests --- .github/workflows/unit-tests.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/unit-tests.yaml b/.github/workflows/unit-tests.yaml index 970f158..e48cdde 100644 --- a/.github/workflows/unit-tests.yaml +++ b/.github/workflows/unit-tests.yaml @@ -13,7 +13,7 @@ jobs: strategy: fail-fast: false matrix: - python-version: ['3.8', '3.9', '3.10', '3.11'] + python-version: ['3.8', '3.9', '3.10', '3.11', '3.12'] steps: - uses: actions/checkout@v2 From 7ae3bc6afa172eaf3e1f9ac72d4cc2be4643ceb9 Mon Sep 17 00:00:00 2001 From: William Benoit Date: Wed, 25 Sep 2024 15:42:43 -0700 Subject: [PATCH 05/13] Add py312 to tox file --- tox.ini | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/tox.ini b/tox.ini index 06300b2..c49b015 100644 --- a/tox.ini +++ b/tox.ini @@ -8,6 +8,7 @@ python = 3.9: py39 3.10: py310 3.11: py311 + 3.12: py312 [testenv] commands = @@ -15,18 +16,18 @@ commands = deps = pytest>=7,<8 -[testenv:py{38,39,310,311}-aeriel] +[testenv:py{38,39,310,311,312}-aeriel] setenv = test_dir = tests/aeriel marker = "" -[testenv:py{38,39,310,311}-tf] +[testenv:py{38,39,310,311,312}-tf] extras = tensorflow setenv = test_dir = tests/quiver marker = "not gcs and not torch" -[testenv:py{38,39,310,311}-torch] +[testenv:py{38,39,310,311,312}-torch] extras = torch setenv = test_dir = tests/quiver From 5e9ccb64d73baa568c857adeba2a62082cf6360e Mon Sep 17 00:00:00 2001 From: William Benoit Date: Wed, 25 Sep 2024 15:44:26 -0700 Subject: [PATCH 06/13] Missed one --- tox.ini | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tox.ini b/tox.ini index c49b015..679eade 100644 --- a/tox.ini +++ b/tox.ini @@ -1,5 +1,5 @@ [tox] -envlist = py{38,39,310,311}-{aeriel,tf,torch} +envlist = py{38,39,310,311,312}-{aeriel,tf,torch} isolated_build = true [gh-actions] From e08c743419279424d9b4486a6d2da641f5408c1b Mon Sep 17 00:00:00 2001 From: William Benoit Date: Wed, 25 Sep 2024 15:54:09 -0700 Subject: [PATCH 07/13] Attempt to update tensorflow --- poetry.lock | 2 +- pyproject.toml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/poetry.lock b/poetry.lock index a0893a9..0c3e86c 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3665,4 +3665,4 @@ torch = ["onnx", "torch", "urllib3"] [metadata] lock-version = "2.0" python-versions = ">=3.8,<3.13" -content-hash = "1026af6c6d786f83dfcc1fcb14127625fd755f0ca05b2e2bc023ca7dec161862" +content-hash = "b644bde8703cda8b29af229e4a0eb852d08be1577865f5eb9913f28248c7b21b" diff --git a/pyproject.toml b/pyproject.toml index e90a918..cc8541c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -29,7 +29,7 @@ protobuf = "^3.17" requests = "^2.26.0" # quiver optional dependencies -tensorflow = {version = "<2.14", optional = true} +tensorflow = {version = "<=2.16", optional = true} torch = {version = "^2.0", optional = true} google-cloud-storage = {version = "^1.38", optional = true } nvidia-tensorrt = { version = "^8.0", optional = true, source = "ngc" } From 215144ff2e19d834824fb1859d0a73cd08c7e711 Mon Sep 17 00:00:00 2001 From: William Benoit Date: Wed, 25 Sep 2024 16:12:19 -0700 Subject: [PATCH 08/13] Change tf specification --- poetry.lock | 2 +- pyproject.toml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/poetry.lock b/poetry.lock index 0c3e86c..49c85ce 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3665,4 +3665,4 @@ torch = ["onnx", "torch", "urllib3"] [metadata] lock-version = "2.0" python-versions = ">=3.8,<3.13" -content-hash = "b644bde8703cda8b29af229e4a0eb852d08be1577865f5eb9913f28248c7b21b" +content-hash = "47d887ea23077abcfd4a9c998f9d5954e115e9b5d08ff1334c8e72e9fa4c8f24" diff --git a/pyproject.toml b/pyproject.toml index cc8541c..970deca 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -29,7 +29,7 @@ protobuf = "^3.17" requests = "^2.26.0" # quiver optional dependencies -tensorflow = {version = "<=2.16", optional = true} +tensorflow = {version = "<2.17", optional = true} torch = {version = "^2.0", optional = true} google-cloud-storage = {version = "^1.38", optional = true } nvidia-tensorrt = { version = "^8.0", optional = true, source = "ngc" } From 41daf789bca019257461a75baff2d1089ae4370e Mon Sep 17 00:00:00 2001 From: William Benoit Date: Thu, 26 Sep 2024 09:54:11 -0700 Subject: [PATCH 09/13] Force usage of keras 2 --- hermes/quiver/exporters/keras_savedmodel.py | 1 + poetry.lock | 17 +++++------------ tests/quiver/conftest.py | 2 ++ 3 files changed, 8 insertions(+), 12 deletions(-) diff --git a/hermes/quiver/exporters/keras_savedmodel.py b/hermes/quiver/exporters/keras_savedmodel.py index fa1973d..9a366b8 100644 --- a/hermes/quiver/exporters/keras_savedmodel.py +++ b/hermes/quiver/exporters/keras_savedmodel.py @@ -1,5 +1,6 @@ import abc import os +os.environ["TF_USE_LEGACY_KERAS"]=”1” import tempfile try: diff --git a/poetry.lock b/poetry.lock index 49c85ce..09077e7 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2266,22 +2266,15 @@ reference = ["google-re2", "pillow"] [[package]] name = "opt-einsum" -version = "3.3.0" -description = "Optimizing numpys einsum function" +version = "3.4.0" +description = "Path optimization of einsum functions." optional = true -python-versions = ">=3.5" +python-versions = ">=3.8" files = [ - {file = "opt_einsum-3.3.0-py3-none-any.whl", hash = "sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147"}, - {file = "opt_einsum-3.3.0.tar.gz", hash = "sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549"}, + {file = "opt_einsum-3.4.0-py3-none-any.whl", hash = "sha256:69bb92469f86a1565195ece4ac0323943e83477171b91d24c35afe028a90d7cd"}, + {file = "opt_einsum-3.4.0.tar.gz", hash = "sha256:96ca72f1b886d148241348783498194c577fa30a8faac108586b14f1ba4473ac"}, ] -[package.dependencies] -numpy = ">=1.7" - -[package.extras] -docs = ["numpydoc", "sphinx (==1.2.3)", "sphinx-rtd-theme", "sphinxcontrib-napoleon"] -tests = ["pytest", "pytest-cov", "pytest-pep8"] - [[package]] name = "packaging" version = "24.1" diff --git a/tests/quiver/conftest.py b/tests/quiver/conftest.py index 3c42974..f0e2b25 100644 --- a/tests/quiver/conftest.py +++ b/tests/quiver/conftest.py @@ -58,6 +58,8 @@ def dim(request): @pytest.fixture def keras_model(dim, tf): + import os + os.environ["TF_USE_LEGACY_KERAS"]=”1” import tensorflow as tf scope = "".join(random.choices("abcdefghijk", k=10)) From daefafa97bfcfede481a32e5ebc3dae3db80b2e7 Mon Sep 17 00:00:00 2001 From: William Benoit Date: Thu, 26 Sep 2024 09:58:33 -0700 Subject: [PATCH 10/13] Fix formatting --- hermes/quiver/exporters/keras_savedmodel.py | 9 +++++---- tests/quiver/conftest.py | 3 ++- 2 files changed, 7 insertions(+), 5 deletions(-) diff --git a/hermes/quiver/exporters/keras_savedmodel.py b/hermes/quiver/exporters/keras_savedmodel.py index 9a366b8..dbe1ecf 100644 --- a/hermes/quiver/exporters/keras_savedmodel.py +++ b/hermes/quiver/exporters/keras_savedmodel.py @@ -1,8 +1,12 @@ import abc import os -os.environ["TF_USE_LEGACY_KERAS"]=”1” import tempfile +from hermes.quiver import Platform +from hermes.quiver.exporters import Exporter + +os.environ["TF_USE_LEGACY_KERAS"] = "1" + try: import tensorflow as tf @@ -10,9 +14,6 @@ except ImportError: _has_tf = False -from hermes.quiver import Platform -from hermes.quiver.exporters import Exporter - class KerasSavedModelMeta(abc.ABCMeta): @property diff --git a/tests/quiver/conftest.py b/tests/quiver/conftest.py index f0e2b25..53fc610 100644 --- a/tests/quiver/conftest.py +++ b/tests/quiver/conftest.py @@ -59,7 +59,8 @@ def dim(request): @pytest.fixture def keras_model(dim, tf): import os - os.environ["TF_USE_LEGACY_KERAS"]=”1” + + os.environ["TF_USE_LEGACY_KERAS"] = "1" import tensorflow as tf scope = "".join(random.choices("abcdefghijk", k=10)) From 9e9fbb8f373f41b66855cd03be75949d8a028a12 Mon Sep 17 00:00:00 2001 From: William Benoit Date: Thu, 26 Sep 2024 10:19:40 -0700 Subject: [PATCH 11/13] Remove py38 support and install tf-keras --- .github/workflows/unit-tests.yaml | 2 +- poetry.lock | 794 +++++++++++++++++------------- pyproject.toml | 5 +- tox.ini | 9 +- 4 files changed, 467 insertions(+), 343 deletions(-) diff --git a/.github/workflows/unit-tests.yaml b/.github/workflows/unit-tests.yaml index e48cdde..8395a03 100644 --- a/.github/workflows/unit-tests.yaml +++ b/.github/workflows/unit-tests.yaml @@ -13,7 +13,7 @@ jobs: strategy: fail-fast: false matrix: - python-version: ['3.8', '3.9', '3.10', '3.11', '3.12'] + python-version: ['3.9', '3.10', '3.11', '3.12'] steps: - uses: actions/checkout@v2 diff --git a/poetry.lock b/poetry.lock index 09077e7..7aee992 100644 --- a/poetry.lock +++ b/poetry.lock @@ -150,13 +150,13 @@ frozenlist = ">=1.1.0" [[package]] name = "alabaster" -version = "0.7.13" -description = "A configurable sidebar-enabled Sphinx theme" +version = "0.7.16" +description = "A light, configurable Sphinx theme" optional = false -python-versions = ">=3.6" +python-versions = ">=3.9" files = [ - {file = "alabaster-0.7.13-py3-none-any.whl", hash = "sha256:1ee19aca801bbabb5ba3f5f258e4422dfa86f82f3e9cefb0859b283cdd7f62a3"}, - {file = "alabaster-0.7.13.tar.gz", hash = "sha256:a27a4a084d5e690e16e01e03ad2b2e552c61a65469419b907243193de1a84ae2"}, + {file = "alabaster-0.7.16-py3-none-any.whl", hash = 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"typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"}, + {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"}, ] [[package]] @@ -3651,11 +3775,11 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [extras] gcs = ["google-cloud-storage"] -tensorflow = ["tensorflow"] +tensorflow = ["tensorflow", "tf-keras"] tensorrt = ["nvidia-tensorrt"] torch = ["onnx", "torch", "urllib3"] [metadata] lock-version = "2.0" -python-versions = ">=3.8,<3.13" -content-hash = "47d887ea23077abcfd4a9c998f9d5954e115e9b5d08ff1334c8e72e9fa4c8f24" +python-versions = ">=3.9,<3.13" +content-hash = "c5ef56ce9b7d90a5886542d4e055f00b9ecc5e7e79bf890c3e0508ebda43bfd4" diff --git a/pyproject.toml b/pyproject.toml index 970deca..f0032fe 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,7 +11,7 @@ packages = [ ] [tool.poetry.dependencies] -python = ">=3.8,<3.13" +python = ">=3.9,<3.13" tritonclient = {extras = ["all"], version = "^2.22"} # aeriel.client @@ -30,6 +30,7 @@ requests = "^2.26.0" # quiver optional dependencies tensorflow = {version = "<2.17", optional = true} +tf-keras = {version = "~2.16", optional = true} torch = {version = "^2.0", optional = true} google-cloud-storage = {version = "^1.38", optional = true } nvidia-tensorrt = { version = "^8.0", optional = true, source = "ngc" } @@ -37,7 +38,7 @@ onnx = {version = "^1.15.0", optional = true} [tool.poetry.extras] # quiver -tensorflow = ["tensorflow"] +tensorflow = ["tensorflow", "tf-keras"] torch = ["torch", "onnx", "urllib3"] gcs = ["google-cloud-storage"] tensorrt = ["nvidia-tensorrt"] diff --git a/tox.ini b/tox.ini index 679eade..2988252 100644 --- a/tox.ini +++ b/tox.ini @@ -1,10 +1,9 @@ [tox] -envlist = py{38,39,310,311,312}-{aeriel,tf,torch} +envlist = py{39,310,311,312}-{aeriel,tf,torch} isolated_build = true [gh-actions] python = - 3.8: py38 3.9: py39 3.10: py310 3.11: py311 @@ -16,18 +15,18 @@ commands = deps = pytest>=7,<8 -[testenv:py{38,39,310,311,312}-aeriel] +[testenv:py{39,310,311,312}-aeriel] setenv = test_dir = tests/aeriel marker = "" -[testenv:py{38,39,310,311,312}-tf] +[testenv:py{39,310,311,312}-tf] extras = tensorflow setenv = test_dir = tests/quiver marker = "not gcs and not torch" -[testenv:py{38,39,310,311,312}-torch] +[testenv:py{39,310,311,312}-torch] extras = torch setenv = test_dir = tests/quiver From b9ea26424f43bc3e2e909368469baa42cb4676bc Mon Sep 17 00:00:00 2001 From: Ethan Marx <61295922+EthanMarx@users.noreply.github.com> Date: Thu, 3 Oct 2024 13:02:19 +0200 Subject: [PATCH 12/13] More intelligent and flexible input and output tensor naming for `TorchScript` Exporter (#62) * support direct torchscript export from ScriptModule * add tests of new naming behavior * guard torch import * add jit module to handles for onnx and torchscript exporters * add script module test to exporter utils --- hermes/quiver/exporters/exporter.py | 3 +- hermes/quiver/exporters/torch_onnx.py | 23 ++---- hermes/quiver/exporters/torchscript.py | 58 ++++++++++---- hermes/quiver/exporters/utils.py | 31 ++++++++ poetry.lock | 7 +- tests/quiver/conftest.py | 16 ++++ tests/quiver/exporters/test_exporter_utils.py | 16 +++- tests/quiver/exporters/test_torchscript.py | 75 +++++++++++++++++-- 8 files changed, 180 insertions(+), 49 deletions(-) diff --git a/hermes/quiver/exporters/exporter.py b/hermes/quiver/exporters/exporter.py index ae77a24..3a79001 100644 --- a/hermes/quiver/exporters/exporter.py +++ b/hermes/quiver/exporters/exporter.py @@ -259,7 +259,8 @@ def handles(self): "Platform metaclass has no `handles` property" ) - @abc.abstractproperty + @property + @abc.abstractmethod def platform(self) -> "Platform": try: return type(self).platform diff --git a/hermes/quiver/exporters/torch_onnx.py b/hermes/quiver/exporters/torch_onnx.py index eecfb5d..543f10e 100644 --- a/hermes/quiver/exporters/torch_onnx.py +++ b/hermes/quiver/exporters/torch_onnx.py @@ -1,5 +1,4 @@ import abc -import inspect from collections import OrderedDict from io import BytesIO @@ -12,14 +11,7 @@ from hermes.quiver import Platform from hermes.quiver.exporters import Exporter - - -def get_input_names_from_script_module(m): - graph = m.graph - input_names = [node.debugName().split(".")[0] for node in graph.inputs()] - if "self" in input_names: - input_names.remove("self") - return OrderedDict({name: name for name in input_names}) +from hermes.quiver.exporters.utils import get_input_names_from_torch_object class TorchOnnxMeta(abc.ABCMeta): @@ -29,7 +21,7 @@ def handles(self): raise ImportError( "Must have torch installed to use TorchOnnx export platform" ) - return torch.nn.Module + return (torch.nn.Module, torch.jit.ScriptModule) @property def platform(self): @@ -63,14 +55,9 @@ def _get_output_shapes(self, model_fn, output_names): # generate an input array of random data input_tensors[input.name] = self._get_tensor(input.dims) - # parse script module to figure out in which order - # to pass input tensors to the model_fn - if isinstance(model_fn, torch.jit.ScriptModule): - parameters = get_input_names_from_script_module(model_fn) - # otherwise use function signature from module.forward - else: - signature = inspect.signature(model_fn.forward) - parameters = OrderedDict(signature.parameters) + # parse either a `ScriptModule` or `torch.nn.Module` + # to figure out in which order to pass input tensors to the model_fn + parameters = get_input_names_from_torch_object(model_fn) # make sure the number of inputs to # the model_fn matches the number of diff --git a/hermes/quiver/exporters/torchscript.py b/hermes/quiver/exporters/torchscript.py index 4c8f2a5..8e12ed4 100644 --- a/hermes/quiver/exporters/torchscript.py +++ b/hermes/quiver/exporters/torchscript.py @@ -1,5 +1,5 @@ import abc -import inspect +import warnings from collections import OrderedDict from io import BytesIO @@ -12,6 +12,7 @@ from hermes.quiver import Platform from hermes.quiver.exporters import Exporter +from hermes.quiver.exporters.utils import get_input_names_from_torch_object class TorchScriptMeta(abc.ABCMeta): @@ -21,7 +22,7 @@ def handles(self): raise ImportError( "Must have torch installed to use TorchScript export platform" ) - return torch.nn.Module + return (torch.nn.Module, torch.jit.ScriptModule) @property def platform(self): @@ -32,12 +33,26 @@ class TorchScript(Exporter, metaclass=TorchScriptMeta): def __call__( self, model_fn, version, input_shapes, output_names=None ) -> None: - if output_names is not None: - raise ValueError( - "Cannot specify output_names for TorchScript exporter" + # if a dictionary is passed + # (i.e. user specified names for tensors) + # warn the user about specific naming conventions + # for tensor input names from triton + if isinstance(input_shapes, dict): + warnings.warn( + "Triton expects specific naming conventions and " + "ordering for tensor input names. Be careful. See " + "https://docs.nvidia.com/deeplearning/triton-inference-server/" + "user-guide/docs/user_guide/model_configuration.html" + "#special-conventions-for-pytorch-backend" ) - - input_shapes = {f"INPUT__{i}": j for i, j in enumerate(input_shapes)} + return super().__call__( + model_fn, version, input_shapes, output_names + ) + # otherwise, user passed a sequence of shapes: + # use tritons recommended naming conventions + # by inferring the names from the model_fn + parameters = get_input_names_from_torch_object(model_fn) + input_shapes = {p: s for p, s in zip(parameters, input_shapes)} super().__call__(model_fn, version, input_shapes, output_names) def _get_tensor(self, shape): @@ -56,7 +71,7 @@ def _get_tensor(self, shape): # and pass them along if they were provided? return torch.randn(*tensor_shape) - def _get_output_shapes(self, model_fn, _): + def _get_output_shapes(self, model_fn, output_names=None): # now that we know we have inputs added to our # model config, use that config to generate # framework tensors that we'll feed through @@ -66,11 +81,9 @@ def _get_output_shapes(self, model_fn, _): # generate an input array of random data input_tensors[input.name] = self._get_tensor(input.dims) - # use function signature from module.forward - # to figure out in which order to pass input - # tensors to the model_fn - signature = inspect.signature(model_fn.forward) - parameters = OrderedDict(signature.parameters) + # parse either a `ScriptModule` or `torch.nn.Module` + # to figure out in which order to pass input tensors to the model_fn + parameters = get_input_names_from_torch_object(model_fn) # make sure the number of inputs to # the model_fn matches the number of @@ -122,9 +135,22 @@ def _get_output_shapes(self, model_fn, _): if any([x.dims[0] == -1 for x in self.config.input]): shapes = [(None,) + s[1:] for s in shapes] - # if we provided names for the outputs, return them - # as a dict for validation against the config - shapes = {f"OUTPUT__{i}": j for i, j in enumerate(shapes)} + # if we didn't provide names for the outputs, + # use the "OUTPUT__{i}" format + if output_names is None: + shapes = {f"OUTPUT__{i}": j for i, j in enumerate(shapes)} + else: + warnings.warn( + "Triton expects specific naming conventions " + "and ordering for tensor output names. Be careful. See " + "https://docs.nvidia.com/deeplearning/triton-inference-server/" + "user-guide/docs/user_guide/model_configuration.html" + "#special-conventions-for-pytorch-backend" + ) + shapes = { + name: shape + for i, (name, shape) in enumerate(zip(output_names, shapes)) + } return shapes def export(self, model_fn, export_path, verbose=0, **kwargs): diff --git a/hermes/quiver/exporters/utils.py b/hermes/quiver/exporters/utils.py index f0fbad4..b546baa 100644 --- a/hermes/quiver/exporters/utils.py +++ b/hermes/quiver/exporters/utils.py @@ -1,7 +1,16 @@ +import inspect +from collections import OrderedDict from typing import TYPE_CHECKING, Callable, Union from .exporter import Exporter +try: + import torch + + _has_torch = True +except ImportError: + _has_torch = False + if TYPE_CHECKING: from hermes.quiver.model import Model @@ -19,6 +28,9 @@ class to find the first for which `model_fn` is an instance of model_fn: The framework-specific function which performs the neural network's input/output mapping + model: + The `Model` object which specifies the desired export platform + and configuration information for the model Returns: An exporter to export `model_fn` to the format specified by this models' inference platform @@ -53,3 +65,22 @@ def _get_all_subclasses(cls): type(model_fn), model.platform ) ) + + +def get_input_names_from_torch_object( + model_fn: Union["torch.nn.Module", "torch.jit.ScriptModule"] +): + """ + Parse either a torch.nn.Module or torch.ScriptModule for input names + """ + + if isinstance(model_fn, torch.jit.ScriptModule): + graph = model_fn.graph + input_names = [ + node.debugName().split(".")[0] for node in graph.inputs() + ] + if "self" in input_names: + input_names.remove("self") + return OrderedDict({name: name for name in input_names}) + signature = inspect.signature(model_fn.forward) + return OrderedDict(signature.parameters) diff --git a/poetry.lock b/poetry.lock index 7aee992..a29285b 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2520,6 +2520,7 @@ description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs optional = true python-versions = ">=3.8" files = [ + {file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"}, {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"}, ] @@ -2530,6 +2531,7 @@ description = "A collection of ASN.1-based protocols modules" optional = true python-versions = ">=3.8" files = [ + {file = "pyasn1_modules-0.4.1-py3-none-any.whl", hash = "sha256:49bfa96b45a292b711e986f222502c1c9a5e1f4e568fc30e2574a6c7d07838fd"}, {file = "pyasn1_modules-0.4.1.tar.gz", hash = "sha256:c28e2dbf9c06ad61c71a075c7e0f9fd0f1b0bb2d2ad4377f240d33ac2ab60a7c"}, ] @@ -3369,11 +3371,6 @@ files = [ {file = "triton-3.0.0-1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:34e509deb77f1c067d8640725ef00c5cbfcb2052a1a3cb6a6d343841f92624eb"}, {file = "triton-3.0.0-1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bcbf3b1c48af6a28011a5c40a5b3b9b5330530c3827716b5fbf6d7adcc1e53e9"}, {file = "triton-3.0.0-1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6e5727202f7078c56f91ff13ad0c1abab14a0e7f2c87e91b12b6f64f3e8ae609"}, - 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input_shapes = {"x": (None, 10)} + input_shapes = {"input0": (None, 10)} exporter._check_exposed_tensors("input", input_shapes) assert len(model.config.input) == 1 - assert model.config.input[0].name == "x" + assert model.config.input[0].name == "input0" assert model.config.input[0].dims[0] == -1 bad_input_shapes = {"x": (None, 12)} @@ -22,11 +22,11 @@ def test_torchscript_exporter(temp_local_repo, torch_model): exporter._check_exposed_tensors("input", bad_input_shapes) output_shapes = exporter._get_output_shapes(model_fn, "y") - assert output_shapes["OUTPUT__0"] == (None, 10) + assert output_shapes["y"] == (None, 10) exporter._check_exposed_tensors("output", output_shapes) assert len(model.config.output) == 1 - assert model.config.output[0].name == "OUTPUT__0" + assert model.config.output[0].name == "y" assert model.config.output[0].dims[0] == -1 version_path = temp_local_repo.fs.join("identity", "1") @@ -39,8 +39,67 @@ def test_torchscript_exporter(temp_local_repo, torch_model): exporter = TorchScript(model2.config, model2.fs) model_path = temp_local_repo.fs.root - with pytest.raises(ValueError): - exporter(model_fn, model_path, [(None, 10)], ["BAD_NAME"]) + + # if a dictionary if input_shapes is not passed + # (i.e. no user specified name) it should default + # to the name of the input tensor in the forward call of the model + # in this case, "x" exporter(model_fn, model_path, [(None, 10)]) - assert "INPUT__0" in model2.inputs + assert "x" in model2.inputs assert "OUTPUT__0" in model2.outputs + + # if a dictionary of input_shapes is passed, it should + # use the user specified names + model3 = Model("identity3", temp_local_repo, Platform.TORCHSCRIPT) + exporter = TorchScript(model3.config, model3.fs) + model_path = temp_local_repo.fs.root + + exporter(model_fn, model_path, input_shapes={"my_name": (None, 10)}) + assert "my_name" in model3.inputs + assert "OUTPUT__0" in model3.outputs + + # now check using non-default output names + model4 = Model("identity4", temp_local_repo, Platform.TORCHSCRIPT) + exporter = TorchScript(model4.config, model4.fs) + model_path = temp_local_repo.fs.root + + exporter( + model_fn, + model_path, + input_shapes={"my_name": (None, 10)}, + output_names=["my_output"], + ) + assert "my_name" in model4.inputs + assert "my_output" in model4.outputs + + # test a model with multiple inputs and outputs + model_fn = torch_model_2 + + model = Model("identity", temp_local_repo, Platform.TORCHSCRIPT) + exporter = TorchScript(model.config, model.fs) + + input_shapes = {"input0": (None, 10), "input1": (None, 10)} + exporter._check_exposed_tensors("input", input_shapes) + assert len(model.config.input) == 2 + assert model.config.input[0].name == "input0" + assert model.config.input[1].name == "input1" + assert model.config.input[0].dims[0] == -1 + assert model.config.input[1].dims[0] == -1 + + bad_input_shapes = {"x": (None, 12)} + with pytest.raises(ValueError): + exporter._check_exposed_tensors("input", bad_input_shapes) + + output_shapes = exporter._get_output_shapes( + model_fn, ["output1", "output2"] + ) + assert output_shapes["output1"] == (None, 10) + assert output_shapes["output2"] == (None, 10) + + model4 = Model("identity4", temp_local_repo, Platform.TORCHSCRIPT) + exporter = TorchScript(model4.config, model4.fs) + model_path = temp_local_repo.fs.root + + exporter(model_fn, model_path, input_shapes=[(None, 10), (None, 10)]) + assert "x" in model4.inputs and "y" in model4.inputs + assert "OUTPUT__0" in model4.outputs and "OUTPUT__1" in model4.outputs From ee891d1030e3351139a91f343387605400518583 Mon Sep 17 00:00:00 2001 From: Ethan Marx <61295922+EthanMarx@users.noreply.github.com> Date: Thu, 3 Oct 2024 13:19:40 +0200 Subject: [PATCH 13/13] bump to version 0.2.0 (#64) --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index f0032fe..1aee3fe 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ml4gw-hermes" -version = "0.0.1" +version = "0.2.0" description = "Inference-as-a-Service deployment made simple" authors = [ "Alec Gunny ",