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Results 21 - 23 of 23 for forwardly (0.16 sec)
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tensorflow/c/eager/gradient_checker.cc
Status RunAndMaybeSum(AbstractContext* ctx, Model forward, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs, bool use_function) { AbstractTensorHandle* model_outputs[1]; // Run the model. TF_RETURN_IF_ERROR( RunModel(forward, ctx, inputs, model_outputs, use_function));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.h
#include "tensorflow/c/eager/c_api.h" #include "tensorflow/c/eager/c_api_experimental.h" namespace tensorflow { namespace parallel_device { // Allocate a parallel device named `device_name` which forwards operations to // `underlying_devices`, maintaining "parallel tensors" with components placed // on each underlying device. // // For example if `device_name` is // "/job:localhost/replica:0/task:0/device:CUSTOM:0"
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/parallel_device/parallel_device_lib.cc
CancellationManager& cancellation_manager, absl::optional<int64_t> step_id = absl::nullopt); // Block until the previous `StartExecute` operation has executed. Forwards // the status from `TFE_Execute` and returns outputs if the status is OK. std::vector<TensorHandlePtr> Join(TF_Status* status); // Block until all Ops finished running on the thread.
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)