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tensorflow/c/c_api_experimental.cc
// threadpool, so that we avoid the possibility of running the runner_ in the // threadpool of GPU event mgr, as that can trigger more callbacks to be // scheduled on that same threadpool, causing a deadlock in cases where the // caller of event_mgr->ThenExecute() blocks on the completion of the callback // (as in the case of ConstOp kernel creation on GPU, which involves copying a
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/parallel_device/parallel_device_lib_test.cc
EXPECT_EQ(TF_GetCode(status.get()), TF_INVALID_ARGUMENT); EXPECT_THAT(TF_Message(status.get()), HasSubstr("assertion failed")); // Note that future collectives with the same context do not work at the // moment; once canceled, the collective executor requires the program to be // restarted / context to be reset. } TEST(PARALLEL_DEVICE_LIB, TestDifferentShapes) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 15.3K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
if (fflush(posix_file->handle) != 0) TF_SetStatusFromIOError(status, errno, posix_file->filename); } static void Sync(const TF_WritableFile* file, TF_Status* status) { // For historical reasons, this does the same as `Flush` at the moment. // TODO(b/144055243): This should use `fsync`/`sync`. Flush(file, status); } static void Close(const TF_WritableFile* file, TF_Status* status) {
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/c_api_cluster_test.cc
serialized_update.size(), status); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); // The device of var_handle0 is local device which is the same before and // after cluster update. Remove resource with valid device should succeed. TFE_Op* op = TFE_NewOp(ctx, "DestroyResourceOp", status); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
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/gradients.cc
gtl::ArraySlice<AbstractTensorHandle*> output_gradients, absl::Span<AbstractTensorHandle*> result) const override; // Builds a tensor filled with ones with the same shape and dtype as `t`. Status BuildOnesLike(const TapeTensor& t, AbstractTensorHandle** result) const override; // Looks up the ID of a Gradient.
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/parallel_device/parallel_device_lib.cc
// // DeviceThread itself is thread-safe, in that StartExecute will block if there // is a pending execution. Since StartExecute is equivalent to grabbing a lock, // multiple DeviceThreads should always be accessed in the same order to avoid // deadlocks. class DeviceThread { public: // Starts a background thread waiting for `StartExecute`. explicit DeviceThread(const std::string& device, const bool is_async,
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) -
tensorflow/c/eager/parallel_device/parallel_device.cc
const char* tensor_handle_device = TFE_TensorHandleDeviceName(input, status); if (TF_GetCode(status) != TF_OK) return; if (named_device->name() == tensor_handle_device) { // We assume that any tensors already placed on this device are // ParallelTensors. typed_inputs.emplace_back(reinterpret_cast<ParallelTensor*>( TFE_TensorHandleDevicePointer(input, status)));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0) -
tensorflow/c/c_api_function.cc
: absl::OkStatus(); } // Converts `ninputs` and `inputs` into `inputs_tensors` and `input_nodes` and // does various checks while doing so. `input_nodes` will contain the same // information as input_tensors just in a different structure to make // following processing easier. TODO(iga): Simplify this nested structure. Status ProcessInputs( const TF_Graph* fn_body, const char* fn_name, int ninputs,
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/parallel_device/parallel_device_test.cc
context.get(), components, device_name, status.get()); ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); // Run a collective sum, so each component should now be the same. TensorHandlePtr reduced( CollectiveSum(context.get(), parallel_value.get(), 2, status.get())); ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 29.3K bytes - Viewed (1) -
tensorflow/c/eager/c_api.cc
} // Set server_def on the context, possibly updating it. // TODO(b/291142876) Simplify TFE_ContextSetServerDefWithTimeoutAndRetries and // TFE_ContextUpdateServerDefWithTimeout to be simple wrappers around the same // C++ function. // Retries are used for CreateContext calls, which is used in // ParameterServerStrategy initialization to be robust to worker preemption.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2)