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tensorflow/c/experimental/gradients/not_differentiable.h
#include "tensorflow/c/eager/abstract_context.h" #include "tensorflow/c/eager/gradients.h" namespace tensorflow { namespace gradients { // Ignores `grad_outputs` and sets all entries in grad_inputs to nullptr. class NotDifferentiableGradientFunction : public GradientFunction { Status Compute(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> grad_outputs,
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Thu Dec 03 22:28:48 GMT 2020 - 1.5K bytes - Viewed (0) -
tensorflow/c/c_api.h
// `g` will be returned. Else, an unspecified subset. // // If successful, returns the number of TF_Function* successfully set in // `funcs` and sets status to OK. The caller takes ownership of // all the returned TF_Functions. They must be deleted with TF_DeleteFunction. // On error, returns 0, sets status to the encountered error, and the contents // of funcs will be undefined.
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
~ParallelDevice(); // Helper to copy a tensor handle from another device once for each component // of the ParallelDevice. // // Sets a bad status and returns a nullptr if `tensor` is already on the // ParallelDevice, or if the individual copies fail. std::unique_ptr<ParallelTensor> CopyToParallelDevice(TFE_Context* context,
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
TFE_MonitoringSampler2* sampler); TF_CAPI_EXPORT extern TFE_MonitoringSamplerCell* TFE_MonitoringGetCellSampler2( TFE_MonitoringSampler2* sampler, const char* label1, const char* label2); // Sets whether to use TFRT TF_CAPI_EXPORT extern void TFE_ContextOptionsSetTfrt(TFE_ContextOptions*, bool use_tfrt);
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.h
TFE_Op* MinOp(TFE_Context* ctx, TFE_TensorHandle* input, TFE_TensorHandle* axis); // If there is a device of type `device_type`, returns true // and sets 'device_name' accordingly. // `device_type` must be either "GPU" or "TPU". bool GetDeviceName(TFE_Context* ctx, tensorflow::string* device_name, const char* device_type);
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Jul 17 23:43:59 GMT 2023 - 7.7K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
TFE_DEVICE_PLACEMENT_SILENT_FOR_INT32 = 3, } TFE_ContextDevicePlacementPolicy; // LINT.ThenChange(//tensorflow/c/eager/immediate_execution_context.h) // Sets the default execution mode (sync/async). Note that this can be // overridden per thread using TFE_ContextSetExecutorForThread. TF_CAPI_EXPORT extern void TFE_ContextOptionsSetAsync(TFE_ContextOptions*,
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
tensorflow/c/eager/abstract_operation.h
// executor. After that, the value returned by DeviceName will be a full // device name such as "/job:localhost/replica:0/task:0/device:GPU:1". virtual const string& DeviceName() const = 0; // Sets the operation device name. // // The given `name` must be parseable by DeviceNameUtils::ParseFullName, and // the result will be used as a constraint for device placement. See the
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Wed Jul 14 16:20:41 GMT 2021 - 6.8K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.h
// enabled through MarkForCompilationPassFlags. TF_CAPI_EXPORT unsigned char TF_GetXlaAutoJitEnabled(); // Sets XLA's minimum cluster size. This has global effect. TF_CAPI_EXPORT void TF_SetXlaMinClusterSize(int size); // Gets/Sets TF/XLA flag for whether(true) or not(false) to disable constant // folding. This is for testing to ensure that XLA is being tested rather than
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 15.1K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
// // Executes the backward function in order to trace its gradient, which will // waste computation if executing eagerly (when graph building the unneeded // computation is pruned). Temporarily sets `backward_tape` so that // Accumulate will forward op executions to the tape while the backward // function is running; this effectively adds the backward tape to the active
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/eager/gradients_internal.h
Status AddInput(AbstractOperation*, AbstractTensorHandle*, ForwardOperation*); Status AddInputList(AbstractOperation*, absl::Span<AbstractTensorHandle* const> inputs, ForwardOperation*); // Sets the attrs in the `ForwardOperation`. Status SetAttrString(AbstractOperation*, const char* attr_name, const char* data, size_t length, ForwardOperation*);
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:27:35 GMT 2021 - 4.2K bytes - Viewed (0)