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CONTRIBUTING.md
``` This will catch most license, Python coding style and BUILD file issues that may exist in your changes. #### Running unit tests There are two ways to run TensorFlow unit tests. 1. Using tools and libraries installed directly on your system. Refer to the
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Mar 21 11:45:51 GMT 2024 - 15.6K bytes - Viewed (0) -
tensorflow/c/eager/dlpack.cc
} for (int i = ndim - 2; i >= 0; --i) { (*stride_arr)[i] = (*shape_arr)[i + 1] * (*stride_arr)[i + 1]; } dlm_tensor->dl_tensor.shape = shape_arr->data(); // There are two ways to represent compact row-major data // 1) nullptr indicates tensor is compact and row-majored. // 2) fill in the strides array as the real case for compact row-major data.
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tensorflow/c/eager/parallel_device/parallel_device.cc
TF_Status* status) { absl::optional<std::vector<MaybeParallelTensorOwned>> result; // TODO(allenl): We should remove "TPU" from these op names at the very least, // or consider other ways of packing/unpacking parallel tensors. if (operation_name == std::string("TPUReplicatedInput")) { // Special-cased operation for packing per-device tensors into one parallel // tensor.
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