ai-content-maker/.venv/Lib/site-packages/spacy_loggers/tests/test_cupy.py

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2024-05-03 04:18:51 +03:00
import pytest
from thinc.util import has_cupy_gpu, has_torch, has_tensorflow, require_gpu
from thinc.backends import use_pytorch_for_gpu_memory, use_tensorflow_for_gpu_memory
from spacy_loggers.cupy import cupy_logger_v1
@pytest.fixture
def logger():
setup_logger = cupy_logger_v1()
step, _ = setup_logger(None)
return step
@pytest.mark.skipif(not has_cupy_gpu, reason="CuPy support required")
def test_cupy_allocator_source_default(logger):
# Needs to be executed first as modifications to the memory pool
# persist for the entire session.
require_gpu()
info = {}
logger(info)
assert info["cupy.pool.source"] == "default"
@pytest.mark.skipif(
not has_cupy_gpu or not has_torch, reason="CuPy/PyTorch support required"
)
def test_cupy_allocator_source_torch(logger):
require_gpu()
use_pytorch_for_gpu_memory()
info = {}
logger(info)
assert info["cupy.pool.source"] == "pytorch"
@pytest.mark.skipif(
not has_cupy_gpu or not has_tensorflow, reason="CuPy/TensorFlow support required"
)
def test_cupy_allocator_source_tf(logger):
require_gpu()
use_tensorflow_for_gpu_memory()
info = {}
logger(info)
assert info["cupy.pool.source"] == "tensorflow"