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tensorflow/c/c_api.cc
// Convert from TF_Output and TF_Tensor to a string and Tensor. std::vector<std::pair<string, Tensor>> input_pairs(ninputs); if (!TF_Run_Inputs(input_values, &input_pairs, status)) return; for (int i = 0; i < ninputs; ++i) { input_pairs[i].first = OutputName(inputs[i]); } // Convert from TF_Output to string names. std::vector<string> output_names(noutputs); for (int i = 0; i < noutputs; ++i) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.cc
using tensorflow::string; namespace tensorflow { namespace tracing { typedef absl::flat_hash_map<std::string, tracing::FactoryFunction> FactoriesMap; static FactoriesMap& GetFactories() { static FactoriesMap* factories = new FactoriesMap; return *factories; } static tracing::FactoryFunction default_factory; void RegisterTracingEngineFactory(const string& name, FactoryFunction factory) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad.cc
DCHECK(upstream_grad); // Recover data format from forward pass for gradient. std::string data_format; TF_RETURN_IF_ERROR(forward_attrs_.Get("data_format", &data_format)); // Grad for A grad_inputs[0] = upstream_grad; grad_inputs[0]->Ref(); // Grad for bias std::string name = "bias_add_grad"; TF_RETURN_IF_ERROR(BiasAddGrad(ctx, upstream_grad, &grad_inputs[1],
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
struct TF_AttrBuilder : public tensorflow::AttrBuilder { using tensorflow::AttrBuilder::AttrBuilder; // The string buffers to make sure that any `attr_name` we pass into // `builder->Set()` will outlive the subsequent // `TF_AttrBuilderCheckCanRunOnDevice()` call(s) on the same `builder`. std::set<std::string> attr_names; }; TF_AttrBuilder* TF_NewAttrBuilder(const char* op_name) { return new TF_AttrBuilder(op_name);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
#include "tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.h" #include <dirent.h> #include <errno.h> #include <fcntl.h> #include <limits.h> #include <stdint.h> #include <stdio.h> #include <stdlib.h> #include <string.h> #include <sys/mman.h> #include <sys/stat.h> #include <unistd.h> #include "tensorflow/c/experimental/filesystem/filesystem_interface.h"
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Mar 24 20:08:23 GMT 2024 - 15.8K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_tensor_handle.cc
namespace tensorflow { std::string ImmediateExecutionTensorHandle::DebugString() const { PartialTensorShape shape; std::string shape_string; if (Shape(&shape).ok()) { shape_string = shape.DebugString(); } else { shape_string = "<error computing shape>"; } std::string value_string; if (!SummarizeValue(value_string).ok()) { value_string = "<error computing value>"; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 2.1K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
*result = outputs[0]; return absl::OkStatus(); } } // namespace Status GradientRegistry::Register( const string& op_name, GradientFunctionFactory gradient_function_factory) { auto iter = registry_.find(op_name); if (iter != registry_.end()) { const string error_msg = "Gradient already exists for op: " + op_name + "."; return errors::AlreadyExists(error_msg); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
tensorflow/c/eager/dlpack.cc
if (shape_arr[i] == 0) return true; // Note that dimensions with size=1 can have any stride. if (shape_arr[i] != 1 && stride_arr[i] != expected_stride) { valid = false; } expected_stride *= shape_arr[i]; } return valid; } } // namespace void TFE_CallDLManagedTensorDeleter(void* dlm_ptr) { DLManagedTensor* dlMTensor = static_cast<DLManagedTensor*>(dlm_ptr);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0) -
tensorflow/c/eager/abstract_tensor_handle.cc
namespace tensorflow { std::string AbstractTensorHandle::DebugString() const { PartialTensorShape shape; Status s = Shape(&shape); std::string shape_string; if (!s.ok()) { shape_string = "<error computing shape>"; } else { shape_string = shape.DebugString(); } return absl::StrCat("TensorHandle(shape=", shape_string, ", dtype=", DataType_Name(DataType()),
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 1.4K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/c_api.cc
auto* cc_agent = reinterpret_cast<tsl::CoordinationServiceAgent*>(agent); absl::Status cc_status = cc_agent->InsertKeyValue( std::string_view(key, key_size), std::string_view(value, value_size)); status->status = cc_status; } TF_Buffer* ProcessGetKeyValueResult(absl::StatusOr<std::string> value, TF_Status* status) { status->status = value.status(); if (!value.ok()) {
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jan 09 00:52:04 GMT 2024 - 13.9K bytes - Viewed (1)