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54db14e390
Summary: The goal of this PR is to add an infrastructure; to convert(hipify) CUDA ops into [HIP](https://github.com/ROCm-Developer-Tools/HIP) ops , at **compile** time. Note that HIP ops, which are portable c++ code, can run on AMD and NVIDIA platform. Pull Request resolved: https://github.com/pytorch/pytorch/pull/9322 Differential Revision: D8884707 Pulled By: bddppq fbshipit-source-id: dabc6319546002c308c10528238e6684f7aef0f8
54 lines
1.9 KiB
Python
54 lines
1.9 KiB
Python
## @package _import_c_extension
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# Module caffe2.python._import_c_extension
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import atexit
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import logging
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import sys
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from caffe2.python import extension_loader
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# We will first try to load the gpu-enabled caffe2. If it fails, we will then
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# attempt to load the cpu version. The cpu backend is the minimum required, so
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# if that still fails, we will exit loud.
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with extension_loader.DlopenGuard():
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has_hip_support = False
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has_gpu_support = False
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try:
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from caffe2.python.caffe2_pybind11_state_gpu import * # noqa
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if num_cuda_devices(): # noqa
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has_gpu_support = True
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except ImportError as gpu_e:
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logging.info('Failed to import cuda module: {}'.format(gpu_e))
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try:
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from caffe2.python.caffe2_pybind11_state_hip import * # noqa
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if num_hip_devices():
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has_hip_support = True
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logging.info('This caffe2 python run has AMD GPU support!')
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except ImportError as hip_e:
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logging.info('Failed to import AMD hip module: {}'.format(hip_e))
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logging.warning(
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'This caffe2 python run does not have GPU support. '
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'Will run in CPU only mode.')
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try:
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from caffe2.python.caffe2_pybind11_state import * # noqa
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except ImportError as cpu_e:
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logging.critical(
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'Cannot load caffe2.python. Error: {0}'.format(str(cpu_e)))
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sys.exit(1)
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# libcaffe2_python contains a global Workspace that we need to properly delete
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# when exiting. Otherwise, cudart will cause segfaults sometimes.
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atexit.register(on_module_exit) # noqa
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# Add functionalities for the TensorCPU interface.
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def _TensorCPU_shape(self):
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return tuple(self._shape)
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def _TensorCPU_reshape(self, shape):
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return self._reshape(list(shape))
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TensorCPU.shape = property(_TensorCPU_shape) # noqa
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TensorCPU.reshape = _TensorCPU_reshape # noqa
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