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tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
std::unique_ptr<tensorflow::GrpcServer> worker_server1; ASSERT_TRUE(tensorflow::GrpcServer::Create( server_def, tensorflow::Env::Default(), &worker_server1) .ok()); ASSERT_TRUE(worker_server1->Start().ok()); server_def.set_task_index(2); std::unique_ptr<tensorflow::GrpcServer> worker_server2; ASSERT_TRUE(tensorflow::GrpcServer::Create(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 22:09:57 GMT 2023 - 6.7K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.cc
"' (available: "); // Ensure deterministic (sorted) order in the error message std::set<string> factories_sorted; for (const auto& factory : GetFactories()) factories_sorted.insert(factory.first); const char* comma = ""; for (const string& factory : factories_sorted) { msg += comma + factory; comma = ", "; } msg += ")"; return errors::InvalidArgument(msg.c_str()); }
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/c_api_experimental.cc
TF_DataType value) { auto iter = builder->attr_names.insert(attr_name).first; builder->Set(*iter, static_cast<tensorflow::DataType>(value)); } void TF_AttrBuilderSetTypeList(TF_AttrBuilder* builder, const char* attr_name, const TF_DataType* values, int num_values) { 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/c_api.cc
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_cluster_test.cc
TFE_Op* op = TFE_NewOp(ctx, "ReadVariableOp", status); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpSetAttrType(op, "dtype", TF_FLOAT); TFE_OpAddInput(op, var, status); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); int num_retvals = 1; TFE_Execute(op, out_value, &num_retvals, status); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_DeleteOp(op);
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/dlpack_test.cc
TFE_TensorHandle* handle = TFE_HandleFromDLPack(&dlm_in, status, ctx); ASSERT_NE(handle, nullptr) << TF_Message(status) << " (shape=[" << absl::StrJoin(shape, ",") << "], strides=[" << absl::StrJoin(strides, ",") << "])"; auto* dlm_out = static_cast<DLManagedTensor*>(TFE_HandleToDLPack(handle, status)); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jun 30 03:04:46 GMT 2023 - 4.4K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
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); } registry_.insert({op_name, gradient_function_factory}); return absl::OkStatus(); } Status GradientRegistry::Lookup( const ForwardOperation& op, std::unique_ptr<GradientFunction>* gradient_function) const {
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/math_grad_test.cc
status_ = TestScalarTensorHandle<float, TF_FLOAT>( immediate_execution_ctx_.get(), 2.0f, &x_raw); ASSERT_EQ(errors::OK, status_.code()) << status_.message(); x.reset(x_raw); } status_ = registry_.Register("Exp", ExpRegisterer); ASSERT_EQ(errors::OK, status_.code()) << status_.message(); ASSERT_NO_FATAL_FAILURE(CompareNumericalAndAutodiffGradients( ExpModel, BuildGradModel(ExpModel, registry_),
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/experimental/gradients/grad_test_helper.cc
auto s = GetValue(t, &analytical_tensor); ASSERT_EQ(errors::OK, s.code()) << s.message(); int64_t num_elem_analytical = 1; auto num_dims_analytical = TF_NumDims(analytical_tensor); ASSERT_EQ(dims.size(), num_dims_analytical); for (int j = 0; j < num_dims_analytical; j++) { auto dim_analytical = TF_Dim(analytical_tensor, j); ASSERT_EQ(dims[j], dim_analytical); num_elem_analytical *= dim_analytical;
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/experimental/gradients/custom_gradient_test.cc
Status s = BuildImmediateExecutionContext(std::get<1>(GetParam()), &ctx_raw); ASSERT_EQ(errors::OK, s.code()) << s.message(); ctx.reset(ctx_raw); } AbstractTensorHandlePtr x; { AbstractTensorHandle* x_raw = nullptr; Status s = TestScalarTensorHandle<float, TF_FLOAT>(ctx.get(), 1.0f, &x_raw); ASSERT_EQ(errors::OK, s.code()) << s.message(); x.reset(x_raw); } // Pseudo-code:
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 4.8K bytes - Viewed (0)