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def | is_sandcastle () |
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def | dims (min_value=1, max_value=5) |
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def | elements_of_type (dtype=np.float32, filter_=None) |
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def | arrays (dims, dtype=np.float32, elements=None) |
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def | tensor (min_dim=1, max_dim=4, dtype=np.float32, elements=None, kwargs) |
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def | segment_ids (size, is_sorted) |
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def | lengths (size, kwargs) |
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def | segmented_tensor (min_dim=1, max_dim=4, dtype=np.float32, is_sorted=True, elements=None, segment_generator=segment_ids, allow_empty=False, kwargs) |
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def | lengths_tensor (args, kwargs) |
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def | sparse_segmented_tensor (min_dim=1, max_dim=4, dtype=np.float32, is_sorted=True, elements=None, allow_empty=False, segment_generator=segment_ids, kwargs) |
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def | sparse_lengths_tensor (kwargs) |
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def | tensors (n, min_dim=1, max_dim=4, dtype=np.float32, elements=None, kwargs) |
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def | device_checker_device_options () |
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def | gradient_checker_device_option () |
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def | temp_workspace (name=b"temp_ws") |
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def | runOpBenchmark (device_option, op, inputs, input_device_options=None, iterations=10) |
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Module caffe2.python.hypothesis_test_util.