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Use cupy to measure memory leak #777

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merged 3 commits into from
Sep 6, 2024
Merged

Use cupy to measure memory leak #777

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1b83eb1
Use cuda-python to measure memory leak
bdice Sep 6, 2024
8075ba3
Clarify units are MiB.
bdice Sep 6, 2024
a509f2d
Use cupy instead of cuda-python.
bdice Sep 6, 2024
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1 change: 0 additions & 1 deletion conda/environments/all_cuda-118_arch-x86_64.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,6 @@ channels:
- conda-forge
- nvidia
dependencies:
- GPUtil>=1.4.0
- c-compiler
- click
- cmake>=3.26.4,!=3.30.0
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1 change: 0 additions & 1 deletion conda/environments/all_cuda-125_arch-x86_64.yaml
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Expand Up @@ -6,7 +6,6 @@ channels:
- conda-forge
- nvidia
dependencies:
- GPUtil>=1.4.0
- c-compiler
- click
- cmake>=3.26.4,!=3.30.0
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1 change: 0 additions & 1 deletion dependencies.yaml
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Expand Up @@ -295,7 +295,6 @@ dependencies:
common:
- output_types: [conda, requirements, pyproject]
packages:
- GPUtil>=1.4.0
- psutil>=5.8.0
- pytest>=6.2.4,<8.0.0a0
- pytest-cov>=2.12.1
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1 change: 0 additions & 1 deletion python/cucim/pyproject.toml
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Expand Up @@ -57,7 +57,6 @@ Tracker = "https://github.com/rapidsai/cucim/issues"

[project.optional-dependencies]
test = [
"GPUtil>=1.4.0",
"imagecodecs>=2021.6.8; platform_machine=='x86_64'",
"matplotlib",
"numpydoc>=1.5",
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22 changes: 12 additions & 10 deletions python/cucim/tests/performance/clara/test_read_region_memory_usage.py
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Expand Up @@ -13,6 +13,7 @@
# limitations under the License.
#

import cupy as cp
import pytest

from ...util.io import open_image_cucim
Expand All @@ -22,23 +23,24 @@


def test_read_region_cuda_memleak(testimg_tiff_stripe_4096x4096_256_jpeg):
import GPUtil

gpus = GPUtil.getGPUs()

if len(gpus) == 0:
def get_used_gpu_memory_mib():
"""Get the used GPU memory in MiB."""
dev = cp.cuda.Device()
free, total = dev.mem_info
memory_used = (total - free) / (2**20)
return memory_used

num_gpus = cp.cuda.runtime.getDeviceCount()
if num_gpus == 0:
pytest.skip("No gpu available")

img = open_image_cucim(testimg_tiff_stripe_4096x4096_256_jpeg)

gpu = gpus[0]
mem_usage_history = [gpu.memoryUsed]
mem_usage_history = [get_used_gpu_memory_mib()]

for i in range(10):
_ = img.read_region(device="cuda")
gpus = GPUtil.getGPUs()
gpu = gpus[0]
mem_usage_history.append(gpu.memoryUsed)
mem_usage_history.append(get_used_gpu_memory_mib())

print(mem_usage_history)

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