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Results 11 - 20 of 65 for zstd (0.19 sec)
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tensorflow/c/experimental/gradients/math_grad_test.cc
return ops::DivNoNan(ctx, inputs[0], inputs[1], &outputs[0], "DivNoNan"); } class CppGradients : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus()); TF_SetTracingImplementation(std::get<0>(GetParam()), status.get()); status_ = StatusFromTF_Status(status.get()); ASSERT_EQ(errors::OK, status_.code()) << status_.message();
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Thu Apr 13 17:32:14 GMT 2023 - 16.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_cluster_test.cc
const std::vector<float>& expected_values) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); TF_Tensor* t = TFE_TensorHandleResolve(handle, status.get()); ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); std::unique_ptr<float[]> actual_values(new float[expected_values.size()]);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 14 10:03:59 GMT 2023 - 19.3K bytes - Viewed (0) -
tensorflow/c/eager/graph_function.cc
#include "tensorflow/core/platform/status.h" namespace tensorflow { namespace tracing { namespace graph { GraphFunction::GraphFunction(FunctionDef fdef) : AbstractFunction(kGraph), func_record_(new FunctionRecord(std::move(fdef), {}, true)) {} GraphFunction::~GraphFunction() {} Status GraphFunction::GetFunctionDef(const FunctionDef **fdef) { *fdef = &(func_record_->fdef()); return absl::OkStatus(); } } // namespace graph
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Mar 04 19:49:06 GMT 2024 - 1.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_remote_test.cc
tensorflow::ServerDef server_def = GetServerDef(2); // This server def has the task index set to 0. string serialized = server_def.SerializeAsString(); server_def.set_task_index(1); std::unique_ptr<tensorflow::GrpcServer> worker_server; ASSERT_TRUE(tensorflow::GrpcServer::Create( server_def, tensorflow::Env::Default(), &worker_server) .ok());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 12 00:14:22 GMT 2020 - 5.4K bytes - Viewed (0) -
tensorflow/c/eager/custom_device_test.cc
} TEST(CUSTOM_DEVICE, MakeVariable) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); std::unique_ptr<TFE_ContextOptions, decltype(&TFE_DeleteContextOptions)> opts( TFE_NewContextOptions(), TFE_DeleteContextOptions); std::unique_ptr<TFE_Context, decltype(&TFE_DeleteContext)> context(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 27 23:39:24 GMT 2020 - 18.4K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler.cc
TF_SetStatus(status, TF_OK, ""); const std::vector<std::string>& nodes = reinterpret_cast<const tensorflow::grappler::GrapplerItem*>(item)->fetch; const int len = std::min(num_values, static_cast<int>(nodes.size())); char* p = static_cast<char*>(storage); for (int index = 0; index < len; ++index) { const std::string& s = nodes[index]; values[index] = p; lengths[index] = s.size();
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 15K bytes - Viewed (1) -
tensorflow/c/eager/gradients.cc
const string& op_name) { std::vector<int64_t> input_ids(inputs.size()); std::vector<tensorflow::DataType> input_dtypes(inputs.size()); for (int i = 0; i < inputs.size(); i++) { input_ids[i] = ToId(inputs[i]); input_dtypes[i] = inputs[i]->DataType(); } std::vector<TapeTensor> tape_tensors; tape_tensors.reserve(outputs.size()); for (auto t : outputs) {
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/experimental/gradients/array_grad_test.cc
temp_outputs[0]->Unref(); return absl::OkStatus(); } class CppGradients : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus()); TF_SetTracingImplementation(std::get<0>(GetParam()), status.get()); status_ = StatusFromTF_Status(status.get()); ASSERT_EQ(errors::OK, status_.code()) << status_.message();
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_tensor_handle.cc
#include "tensorflow/c/eager/immediate_execution_tensor_handle.h" 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()) {
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/c_test_util.cc
TF_DeleteBuffer(buffer); return ret; } std::vector<std::pair<string, string>> GetGradDefs( const tensorflow::GraphDef& graph_def) { std::vector<std::pair<string, string>> grads; for (const tensorflow::GradientDef& grad : graph_def.library().gradient()) { grads.emplace_back(grad.function_name(), grad.gradient_func()); } std::sort(grads.begin(), grads.end()); return grads; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:52 GMT 2021 - 17.8K bytes - Viewed (2)