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import collections
import os
import shutil
import subprocess
try:
# no type stub for conda command line interface
import conda.cli.python_api # type: ignore[import]
from conda.cli.python_api import Commands as conda_commands
except ImportError:
# blas_compare.py will fail to import these when it's inside a conda env,
# but that's fine as it only wants the constants.
pass
WORKING_ROOT = "/tmp/pytorch_blas_compare_environments"
MKL_2020_3 = "mkl_2020_3"
MKL_2020_0 = "mkl_2020_0"
OPEN_BLAS = "open_blas"
EIGEN = "eigen"
GENERIC_ENV_VARS = ("USE_CUDA=0", "USE_ROCM=0")
BASE_PKG_DEPS = (
"cffi",
"cmake",
"hypothesis",
"ninja",
"numpy",
"pyyaml",
"setuptools",
"typing_extensions",
)
SubEnvSpec = collections.namedtuple(
"SubEnvSpec", (
"generic_installs",
"special_installs",
"environment_variables",
# Validate install.
"expected_blas_symbols",
"expected_mkl_version",
))
SUB_ENVS = {
MKL_2020_3: SubEnvSpec(
generic_installs=(),
special_installs=("intel", ("mkl=2020.3", "mkl-include=2020.3")),
environment_variables=("BLAS=MKL",) + GENERIC_ENV_VARS,
expected_blas_symbols=("mkl_blas_sgemm",),
expected_mkl_version="2020.0.3",
),
MKL_2020_0: SubEnvSpec(
generic_installs=(),
special_installs=("intel", ("mkl=2020.0", "mkl-include=2020.0")),
environment_variables=("BLAS=MKL",) + GENERIC_ENV_VARS,
expected_blas_symbols=("mkl_blas_sgemm",),
expected_mkl_version="2020.0.0",
),
OPEN_BLAS: SubEnvSpec(
generic_installs=("openblas",),
special_installs=(),
environment_variables=("BLAS=OpenBLAS",) + GENERIC_ENV_VARS,
expected_blas_symbols=("exec_blas",),
expected_mkl_version=None,
),
# EIGEN: SubEnvSpec(
# generic_installs=(),
# special_installs=(),
# environment_variables=("BLAS=Eigen",) + GENERIC_ENV_VARS,
# expected_blas_symbols=(),
# ),
}
def conda_run(*args):
"""Convenience method."""
stdout, stderr, retcode = conda.cli.python_api.run_command(*args)
if retcode:
raise OSError(f"conda error: {str(args)} retcode: {retcode}\n{stderr}")
return stdout
def main():
if os.path.exists(WORKING_ROOT):
print("Cleaning: removing old working root.")
shutil.rmtree(WORKING_ROOT)
os.makedirs(WORKING_ROOT)
git_root = subprocess.check_output(
"git rev-parse --show-toplevel",
shell=True,
cwd=os.path.dirname(os.path.realpath(__file__))
).decode("utf-8").strip()
for env_name, env_spec in SUB_ENVS.items():
env_path = os.path.join(WORKING_ROOT, env_name)
print(f"Creating env: {env_name}: ({env_path})")
conda_run(
conda_commands.CREATE,
"--no-default-packages",
"--prefix", env_path,
"python=3",
)
print("Testing that env can be activated:")
base_source = subprocess.run(
f"source activate {env_path}",
shell=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
)
if base_source.returncode:
raise OSError(
"Failed to source base environment:\n"
f" stdout: {base_source.stdout.decode('utf-8')}\n"
f" stderr: {base_source.stderr.decode('utf-8')}"
)
print("Installing packages:")
conda_run(
conda_commands.INSTALL,
"--prefix", env_path,
*(BASE_PKG_DEPS + env_spec.generic_installs)
)
if env_spec.special_installs:
channel, channel_deps = env_spec.special_installs
print(f"Installing packages from channel: {channel}")
conda_run(
conda_commands.INSTALL,
"--prefix", env_path,
"-c", channel, *channel_deps
)
if env_spec.environment_variables:
print("Setting environment variables.")
# This does not appear to be possible using the python API.
env_set = subprocess.run(
f"source activate {env_path} && "
f"conda env config vars set {' '.join(env_spec.environment_variables)}",
shell=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
)
if env_set.returncode:
raise OSError(
"Failed to set environment variables:\n"
f" stdout: {env_set.stdout.decode('utf-8')}\n"
f" stderr: {env_set.stderr.decode('utf-8')}"
)
# Check that they were actually set correctly.
actual_env_vars = subprocess.run(
f"source activate {env_path} && env",
shell=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
).stdout.decode("utf-8").strip().splitlines()
for e in env_spec.environment_variables:
assert e in actual_env_vars, f"{e} not in envs"
print(f"Building PyTorch for env: `{env_name}`")
# We have to re-run during each build to pick up the new
# build config settings.
build_run = subprocess.run(
f"source activate {env_path} && "
f"cd {git_root} && "
"python setup.py install --cmake",
shell=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
)
print("Checking configuration:")
check_run = subprocess.run(
# Shameless abuse of `python -c ...`
f"source activate {env_path} && "
"python -c \""
"import torch;"
"from torch.utils.benchmark import Timer;"
"print(torch.__config__.show());"
"setup = 'x=torch.ones((128, 128));y=torch.ones((128, 128))';"
"counts = Timer('torch.mm(x, y)', setup).collect_callgrind(collect_baseline=False);"
"stats = counts.as_standardized().stats(inclusive=True);"
"print(stats.filter(lambda l: 'blas' in l.lower()))\"",
shell=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
)
if check_run.returncode:
raise OSError(
"Failed to set environment variables:\n"
f" stdout: {check_run.stdout.decode('utf-8')}\n"
f" stderr: {check_run.stderr.decode('utf-8')}"
)
check_run_stdout = check_run.stdout.decode('utf-8')
print(check_run_stdout)
for e in env_spec.environment_variables:
if "BLAS" in e:
assert e in check_run_stdout, f"PyTorch build did not respect `BLAS=...`: {e}"
for s in env_spec.expected_blas_symbols:
assert s in check_run_stdout
if env_spec.expected_mkl_version is not None:
assert f"- Intel(R) Math Kernel Library Version {env_spec.expected_mkl_version}" in check_run_stdout
print(f"Build complete: {env_name}")
if __name__ == "__main__":
main()
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