speed up tests with CLI#2121
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wanghan-iapcm merged 1 commit intodeepmodeling:develfrom Nov 23, 2022
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Currently all tests use subprocess to call CLI. This might be slow, as it's expensive to import tensorflow (takes 2s on my computer). This patch adds a new argument to `deepmd.entrypoints.main.main` to allow arguments passed, so tests can call CLI without start a new subprocess.
Codecov ReportBase: 73.97% // Head: 73.98% // Increases project coverage by
Additional details and impacted files@@ Coverage Diff @@
## devel #2121 +/- ##
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+ Coverage 73.97% 73.98% +0.01%
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Files 201 201
Lines 19712 19720 +8
Branches 1406 1408 +2
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+ Hits 14581 14589 +8
- Misses 4196 4197 +1
+ Partials 935 934 -1
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wanghan-iapcm
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njzjz
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Nov 27, 2022
When I benchmark deepmd-kit on my machine, I found `get_gpus` takes about 2s and is quite slow. In deepmodeling#905, a subprocess is added to get available GPUs. As benchmarked in deepmodeling#2121, it's quite slow to import tensorflow. I don't have better ideas not to call a subprocess, but we can skip this process when TensorFlow is not built against GPUs. The tests on the GitHub Actions will also benefit. Attached selected profiling: > ncalls tottime percall cumtime percall filename:lineno(function) > 1 0.000 0.000 2.141 2.141 local.py:15(get_gpus) > 1 0.000 0.000 2.133 2.133 subprocess.py:1090(communicate)
wanghan-iapcm
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Nov 27, 2022
When I benchmark deepmd-kit on my machine, I found `get_gpus` takes about 2s and is quite slow. In #905, a subprocess was added to get available GPUs. As benchmarked in #2121, it's quite slow to import tensorflow. I don't have better ideas not to call a subprocess, but we can skip this process when TensorFlow is not built against GPUs. The tests on the GitHub Actions will also benefit. Attached is the selected profiling: > ncalls tottime percall cumtime percall filename:lineno(function) > 1 0.000 0.000 2.141 2.141 local.py:15(get_gpus) > 1 0.000 0.000 2.133 2.133 subprocess.py:1090(communicate) Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
mingzhong15
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Jan 15, 2023
Currently, all tests use a subprocess to call CLI. This might be slow, as it's expensive to import TensorFlow (takes 2s on my computer). This patch adds a new argument to `deepmd.entrypoints.main.main` to allow arguments passed, so tests can call CLI without starting a new subprocess. Attached is the time of `import deepmd`:  We can see `import tensorflow` takes about 90% of the total time and `import numpy` takes about 4%.
mingzhong15
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to mingzhong15/deepmd-kit
that referenced
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Jan 15, 2023
When I benchmark deepmd-kit on my machine, I found `get_gpus` takes about 2s and is quite slow. In deepmodeling#905, a subprocess was added to get available GPUs. As benchmarked in deepmodeling#2121, it's quite slow to import tensorflow. I don't have better ideas not to call a subprocess, but we can skip this process when TensorFlow is not built against GPUs. The tests on the GitHub Actions will also benefit. Attached is the selected profiling: > ncalls tottime percall cumtime percall filename:lineno(function) > 1 0.000 0.000 2.141 2.141 local.py:15(get_gpus) > 1 0.000 0.000 2.133 2.133 subprocess.py:1090(communicate) Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
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Currently, all tests use a subprocess to call CLI. This might be slow, as it's expensive to import TensorFlow (takes 2s on my computer). This patch adds a new argument to
deepmd.entrypoints.main.mainto allow arguments passed, so tests can call CLI without starting a new subprocess.Attached is the time of
import deepmd:We can see
import tensorflowtakes about 90% of the total time andimport numpytakes about 4%.