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tensorflow/c/c_api_function.cc
for (int i = 0; i < noutputs; ++i) { output_names_vec.push_back(string(output_names[i])); } } // Process control output names. std::vector<string> control_output_names_vec; if (control_output_names) { control_output_names_vec.reserve(ncontrol_outputs); for (int i = 0; i < ncontrol_outputs; ++i) { control_output_names_vec.push_back(string(control_output_names[i])); } }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
components.reserve(underlying_devices_.size()); for (int j = 0; j < underlying_devices_.size(); ++j) { components.push_back(std::move(per_device_output_tensors[j][i])); } if (expected_output_shapes[i].IsFullyDefined()) { per_device_outputs.push_back(ParallelTensor::FromTensorHandles( *this, std::move(components), absl::Span<const int64_t>(expected_output_shapes[i].dim_sizes()),
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device.cc
absl::get<TFE_TensorHandle*>(inputs[i]), status)); } std::vector<MaybeParallelTensorOwned> result_content; result_content.reserve(1); result_content.push_back(ParallelTensor::FromTensorHandles( parallel_device, std::move(components), status)); if (TF_GetCode(status) != TF_OK) return result; result.emplace(std::move(result_content)); return result;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0) -
ci/official/containers/linux_arm64/build.sh
Shell Script - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Fri Nov 03 13:38:49 GMT 2023 - 2.3K bytes - Viewed (0) -
README.md
[tools](https://www.tensorflow.org/resources/tools), [libraries](https://www.tensorflow.org/resources/libraries-extensions), and [community](https://www.tensorflow.org/community) resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications. TensorFlow was originally developed by researchers and engineers working within
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Oct 05 15:00:10 GMT 2023 - 11.9K bytes - Viewed (0)