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tensorflow/c/eager/gradients.h
#include "tensorflow/core/common_runtime/eager/attr_builder.h" namespace tensorflow { namespace gradients { // =============== Experimental C++ API for computing gradients =============== // Sample gradient function: // // class AddGradientFunction : public GradientFunction { // public: // Status Compute(Context* ctx, // absl::Span<AbstractTensorHandle* const> grad_inputs,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 10:27:05 GMT 2022 - 6.9K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.h
// per device in `underlying_devices`. Implicit copies off of the device throw // an error. // // All component tensors must have the same dtype. Currently they must also have // the same shape, although this requirement may be relaxed in the future. // // `device_name` must not name an existing physical or custom device (see
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jun 04 21:49:16 GMT 2020 - 2.9K bytes - Viewed (0) -
tensorflow/c/eager/tfe_monitoring_internal.h
std::unique_ptr<tensorflow::monitoring::Buckets> buckets, const char* description, LabelDesc&&... label) { sampler = absl::WrapUnique(tensorflow::monitoring::Sampler<NumLabels>::New( {name, description, label...}, std::move(buckets))); } std::unique_ptr<tensorflow::monitoring::Sampler<NumLabels>> sampler; }; struct TFE_MonitoringSampler0 : TFE_MonitoringSampler<0> {
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 11 01:20:50 GMT 2021 - 5.2K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/cleanup.h
// destructor. The easiest way to use MakeCleanup is with a lambda argument, // capturing the return value in an 'auto' local variable. Most users will not // need more sophisticated syntax than that. // // Example: // void func() { // FILE* fp = fopen("data.txt", "r"); // if (fp == nullptr) return; // auto fp_cleaner = gtl::MakeCleanup([fp] { fclose(fp); }); // // No matter what, fclose(fp) will happen.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 09 11:16:00 GMT 2020 - 3.4K bytes - Viewed (0) -
tensorflow/c/eager/abstract_operation.h
// The value returned may be different from the one set by SetDeviceName, but // it will be compatible with it: the name will be updated by device placement // logic to refer to the specific device chosen. // // Example: If one calls `op->SetDeviceName("/device:GPU")`, the value // returned by DeviceName should be "/device:GPU:*" until a particular GPU is // chosen for the operation by the device placement logic in the
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jul 14 16:20:41 GMT 2021 - 6.8K bytes - Viewed (0) -
tensorflow/c/eager/custom_device_testutil.h
limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_CUSTOM_DEVICE_TESTUTIL_H_ #define TENSORFLOW_C_EAGER_CUSTOM_DEVICE_TESTUTIL_H_ // A simple logging device to test custom device registration. #include <memory> #include "tensorflow/c/c_api.h" #include "tensorflow/c/eager/c_api.h" #include "tensorflow/c/eager/c_api_experimental.h"
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 27 23:39:24 GMT 2020 - 1.6K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_tensor_handle.h
// Returns size of specified dimension // // -1 indicates an unknown axis length; this is unreachable for most standard // ImmediateExecutionTensorHandles, but comes up for example when computing // the shape of a parallel tensor with component shapes differing across // devices. virtual Status Dim(int dim_index, int64_t* dim) const = 0; // Returns the device which created the handle.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Mar 10 21:56:24 GMT 2023 - 4.3K bytes - Viewed (0)