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CONTRIBUTING.md
- If a change is needed, the contributor is requested to make the suggested change. - You make the change and submit it for the review again. - This cycle repeats itself until the PR gets approved. - Note: As a friendly reminder, we may reach out to you if the PR is awaiting your response for more than 2 weeks. **4. Approved** - Once the PR is approved, it gets `kokoro:force-run` label applied and it
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/c_api_experimental.h
// policy is applied to any subsequent op executions. TF_CAPI_EXPORT void TFE_ContextSetSoftDevicePlacement(TFE_Context* ctx, unsigned char enable, TF_Status* status); // Configure device placement policy logging for the eager executor. Note this
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/eager/dlpack.cc
bool valid = true; int64_t expected_stride = 1; for (int i = ndim - 1; i >= 0; --i) { // Empty tensors are always compact regardless of strides. if (shape_arr[i] == 0) return true; // Note that dimensions with size=1 can have any stride. if (shape_arr[i] != 1 && stride_arr[i] != expected_stride) { valid = false; } expected_stride *= shape_arr[i]; } return valid; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api.cc
TFE_Context* ctx, TFE_ContextDevicePlacementPolicy policy) { tensorflow::unwrap(ctx)->SetThreadLocalDevicePlacementPolicy( static_cast<tensorflow::ContextDevicePlacementPolicy>(policy)); } // Note: this function looks up a thread local policy. So it should be called in // the appropriate client thread. In particular, in async mode, it may not be // safe to call this function from the async EagerExecutor threads.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2) -
tensorflow/c/eager/tape.h
ids.push_back(i); } const int64_t op_id = next_op_id_++; std::vector<TapeTensor> tensors; tensors.reserve(output_tensors.size()); for (const TapeTensor& o : output_tensors) { // Note: the tensor can have already been watched and hence be in the tape, // so we cannot check that we're inserting it here. tensor_tape_[o.GetID()] = op_id; tensor_usage_[o.GetID()] = 1; tensors.push_back(o);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/c_api_experimental.cc
// A vector to keep track of newly created `tf::Tensor` objects. std::vector<Tensor> all_input_tensors; // Update the vector with information from `input_tensors` if provided. if (input_tensors != nullptr) { // Note that we take the address of the elements in `all_input_tensors` // below. Allocate enough space so that no reallocation happens, which will // make the pointers invalid. all_input_tensors.reserve(num_inputs);
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