mirror of
https://github.com/zebrajr/pytorch.git
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8286ce1e3a
Summary: Closes https://github.com/caffe2/caffe2/pull/1260 Differential Revision: D5906739 Pulled By: Yangqing fbshipit-source-id: e482ba9ba60b5337d9165f28f7ec68d4518a0902
61 lines
2.2 KiB
Python
61 lines
2.2 KiB
Python
# Copyright (c) 2016-present, Facebook, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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##############################################################################
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## @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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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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else:
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has_gpu_support = False
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except ImportError as 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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logging.warning('Debug message: {0}'.format(str(e)))
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has_gpu_support = False
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try:
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from caffe2.python.caffe2_pybind11_state import * # noqa
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except ImportError as e:
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logging.critical(
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'Cannot load caffe2.python. Error: {0}'.format(str(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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