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tensorflow/c/c_api.cc
const char* value, size_t length) { tensorflow::NameAttrList func_name; func_name.set_name(string(value, value + length)); desc->node_builder.Attr(attr_name, func_name); } void TF_SetAttrShape(TF_OperationDescription* desc, const char* attr_name, const int64_t* dims, int num_dims) { PartialTensorShape shape; if (num_dims >= 0) {
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
void RegisterTracingEngineFactory(const string& name, FactoryFunction factory) { assert((!GetFactories().count(name)) || (GetFactories()[name] == factory) && "Duplicate tracing factory registration"); GetFactories()[name] = factory; } Status SetDefaultTracingEngine(const char* name) { auto entry = GetFactories().find(name); if (entry != GetFactories().end()) {
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
AbstractTensorHandle* upstream_grad = grad_outputs[0]; AbstractTensorHandle* activations = forward_outputs_[0]; // Calculate Grad std::string name = "relu_grad"; TF_RETURN_IF_ERROR(ReluGrad(ctx, upstream_grad, activations, &grad_inputs[0], name.c_str())); return absl::OkStatus(); } ~ReluGradientFunction() override { for (auto output : forward_outputs_) { if (output) {
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
std::set<std::string> attr_names; }; TF_AttrBuilder* TF_NewAttrBuilder(const char* op_name) { return new TF_AttrBuilder(op_name); } void TF_DeleteAttrBuilder(TF_AttrBuilder* builder) { delete builder; } void TF_AttrBuilderSetType(TF_AttrBuilder* builder, const char* attr_name, TF_DataType value) { auto iter = builder->attr_names.insert(attr_name).first;
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
} else { *entries = static_cast<char**>( plugin_memory_allocate(num_entries * sizeof((*entries)[0]))); for (int i = 0; i < num_entries; i++) { (*entries)[i] = strdup(dir_entries[i]->d_name); plugin_memory_free(dir_entries[i]); } plugin_memory_free(dir_entries); } return num_entries; } } // namespace tf_posix_filesystem
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/gradients.cc
return op_->SetAttrInt(attr_name, value); } Status SetAttrFloat(AbstractOperation* op_, const char* attr_name, float value, ForwardOperation* forward_op_) { forward_op_->attrs.Set(attr_name, value); return op_->SetAttrFloat(attr_name, value); } Status SetAttrBool(AbstractOperation* op_, const char* attr_name, bool value,
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/immediate_execution_tensor_handle.cc
} Status s; const char* device_name = DeviceName(&s); if (!s.ok()) { device_name = "<error fetching device name>"; } return absl::StrCat("TensorHandle(", value_string, ", shape=", shape_string, ", dtype=", DataType_Name(DataType()), ", device=\"", device_name, "\")"); } Status ImmediateExecutionTensorHandle::SummarizeValue(
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/dlpack.cc
tensorflow::DeviceNameUtils::ParseFullName(device_name, &parsed_name); std::string device_type = parsed_name.type; int device_id = 0; if (parsed_name.has_id) { device_id = parsed_name.id; } ctx.device_id = device_id; if (device_type == "CPU") { ctx.device_type = DLDeviceType::kDLCPU; } else if (device_type == "GPU") { #if TENSORFLOW_USE_ROCM
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/c_api_function.cc
// Process output names. std::vector<string> output_names_vec; if (output_names) { output_names_vec.reserve(noutputs); for (int i = 0; i < noutputs; ++i) { output_names_vec.push_back(string(output_names[i])); } } // Process control output names. std::vector<string> control_output_names_vec; if (control_output_names) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2) -
tensorflow/c/eager/c_api_distributed_test.cc
const char task0_name[] = "/job:localhost/replica:0/task:0/device:CPU:0"; const char task1_name[] = "/job:localhost/replica:0/task:1/device:CPU:0"; const char task2_name[] = "/job:localhost/replica:0/task:2/device:CPU:0"; // Create one variable per task. TFE_TensorHandle* h0 = TestVariable(ctx, 1.0, task1_name); TFE_TensorHandle* h1 = TestVariable(ctx, 2.0, task2_name);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 23.5K bytes - Viewed (0)