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tensorflow/c/c_api.cc
const char* attr_name, const void* proto, size_t proto_len, TF_Status* status) { // shape.ParseFromArray takes an int as length, this function takes size_t, // make sure there is no information loss. if (proto_len > std::numeric_limits<int>::max()) { status->status = InvalidArgument( "proto_len (", proto_len,
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/c_api_experimental.cc
"GradientDef is not supported in reading Dataset related functions: ", text_proto); return {}; } std::vector<UniqueFuncPtr> ret; for (const FunctionDef& fdef : fdef_lib.function()) { // Make a copy so that we can mutate it. FunctionDef fdef_to_load = fdef; if (mutate_proto_func) { (*mutate_proto_func)(&fdef_to_load); } VLOG(1) << "Adding func to graph: " << fdef_to_load.DebugString();
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/eager/gradients.cc
int64_t target_id = target_tensor_ids[i]; if (sources_set.find(target_id) != sources_set.end()) { auto tensor = targets[i]; sources_that_are_targets.insert( std::make_pair(target_id, TapeTensor(tensor))); } } TF_RETURN_IF_ERROR(GradientTape::ComputeGradient( vspace, target_tensor_ids, source_tensor_ids, sources_that_are_targets,
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/filesystem/modular_filesystem.cc
auto file = std::make_unique<TF_RandomAccessFile>(); std::string translated_name = TranslateName(fname); ops_->new_random_access_file(filesystem_.get(), translated_name.c_str(), file.get(), plugin_status.get()); if (TF_GetCode(plugin_status.get()) == TF_OK) *result = std::make_unique<ModularRandomAccessFile>(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 23.1K bytes - Viewed (0) -
tensorflow/c/checkpoint_reader.cc
(*var_to_shape_map)[key] = TensorShape(entry.shape()); (*var_to_data_type_map)[key] = DataType(entry.dtype()); } // The returned pointers are owned by the caller. return std::make_pair(std::move(var_to_shape_map), std::move(var_to_data_type_map)); } } // namespace checkpoint
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Aug 25 21:29:12 GMT 2023 - 5.5K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
TF_DeleteStatus(s); } TEST(CAPI, Session) { TF_Status* s = TF_NewStatus(); TF_Graph* graph = TF_NewGraph(); // Make a placeholder operation. TF_Operation* feed = Placeholder(graph, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); // Make a constant operation with the scalar "2". TF_Operation* two = ScalarConst(2, graph, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util_test.cc
CHECK_OK(buffer.status()); return new PJRT_Buffer{std::move(*buffer), c_api_client->pjrt_c_client()}; } TEST(TensorPjRtBufferUtilTest, GetPjRtCBufferFromTensorNoBuffer) { auto allocator = std::make_unique<AsyncValueAllocator>(); tensorflow::Tensor tensor(allocator.get(), DT_FLOAT, {1}); EXPECT_THAT( GetPjRtCBufferFromTensor(&tensor), StatusIs(error::INTERNAL, HasSubstr(absl::StrCat(
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Mon Oct 30 19:20:20 GMT 2023 - 7.2K bytes - Viewed (0) -
tensorflow/c/eager/c_api_distributed_test.cc
TFE_TensorHandle* h0 = TestVariable(ctx, 1.0, task1_name); TFE_TensorHandle* h1 = TestVariable(ctx, 2.0, task2_name); TFE_TensorHandle* h2 = TestVariable(ctx, 3.0, task0_name); // Add a sync point to make sure that variables have been initialized // before the function execution starts. TFE_ContextAsyncWait(ctx, status); EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
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) -
tensorflow/c/eager/gradients_test.cc
int num_retvals = 1; std::vector<AbstractTensorHandle*> outputs(1); GradientRegistry registry; s = RegisterGradients(®istry); ASSERT_EQ(errors::OK, s.code()) << s.message(); auto tape = std::make_unique<Tape>(/*persistent=*/false); s = Execute(check_numerics_op.get(), ctx.get(), absl::MakeSpan(outputs), &num_retvals, &forward_op, tape.get(), registry); ASSERT_EQ(errors::OK, s.code()) << s.message();
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
ParallelDevice::ParallelDevice(const std::vector<std::string>& devices, bool is_async, int in_flight_nodes_limit) : underlying_devices_(devices), default_cancellation_manager_(absl::make_unique<CancellationManager>()) { device_threads_.reserve(devices.size()); for (int device_index = 0; device_index < devices.size(); ++device_index) { device_threads_.emplace_back(new DeviceThread(
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)