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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
if (TF_GetCode(status) != TF_OK) return; // unwrap op_ and set step_id only if valid step id value was set. // Currently only required for non-TFRT use cases, e.g., EagerOp. if (step_id_.has_value()) { tensorflow::unwrap(op_.get())->SetStepId(step_id_.value()); } TFE_Execute(op_.get(), unwrapped_results.data(), &real_num_outputs, status);
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/gradient_checker.cc
namespace gradients { using namespace std; // ================== Helper functions ================= // Fills data with values [start,end) with given step size. void Range(vector<int32_t>* data, int32_t start, int32_t end, int32_t step = 1) { for (int32_t i = start; i < end; i += step) { (*data)[i] = i; } } // Fills out_dims with the dimensions of the given tensor. void GetDims(const TF_Tensor* t, int64_t* out_dims) {
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) -
ci/official/utilities/setup.sh
# In addition to dumping all script output to the terminal, place it into # $TFCI_OUTPUT_DIR/script.log exec > >(tee "$TFCI_OUTPUT_DIR/script.log") 2>&1 # Setup tfrun, a helper function for executing steps that can either be run # locally or run under Docker. setup_docker.sh, below, redefines it as "docker # exec". # Important: "tfrun foo | bar" is "( tfrun foo ) | bar", not "tfrun (foo | bar)".
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jan 26 00:33:34 GMT 2024 - 5.2K bytes - Viewed (1)