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tensorflow/c/experimental/filesystem/modular_filesystem.cc
ops_->flush(file_.get(), plugin_status.get()); return StatusFromTF_Status(plugin_status.get()); } Status ModularWritableFile::Sync() { if (ops_->sync == nullptr) return Flush(); UniquePtrTo_TF_Status plugin_status(TF_NewStatus(), TF_DeleteStatus); ops_->sync(file_.get(), plugin_status.get()); return StatusFromTF_Status(plugin_status.get()); }
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/eager/c_api.h
TFE_DEVICE_PLACEMENT_SILENT_FOR_INT32 = 3, } TFE_ContextDevicePlacementPolicy; // LINT.ThenChange(//tensorflow/c/eager/immediate_execution_context.h) // Sets the default execution mode (sync/async). Note that this can be // overridden per thread using TFE_ContextSetExecutorForThread. TF_CAPI_EXPORT extern void TFE_ContextOptionsSetAsync(TFE_ContextOptions*,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
ci/official/upload.sh
# "/path/bar". This script uses "gsutil rsync" instead, which acts on directory # contents. About arguments to gsutil: # "gsutil -m rsync" runs in parallel. # "gsutil rsync -r" is recursive and makes directories work. # "gsutil rsync -d" is "sync and delete files from destination if not present in source" DOWNLOADS="$(mktemp -d)" mkdir -p "$DOWNLOADS" gsutil -m rsync -r "$TFCI_ARTIFACT_STAGING_GCS_URI" "$DOWNLOADS"
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jan 24 20:52:12 GMT 2024 - 2.8K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.h
void Append(const TF_WritableFile* file, const char* buffer, size_t n, TF_Status* status); int64_t Tell(const TF_WritableFile* file, TF_Status* status); void Flush(const TF_WritableFile* file, TF_Status* status); void Sync(const TF_WritableFile* file, TF_Status* status); void Close(const TF_WritableFile* file, TF_Status* status); } // namespace tf_writable_file namespace tf_read_only_memory_region {
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Aug 31 04:37:41 GMT 2020 - 5.2K 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_test.cc
if (forward_input) { TFE_DeleteTensorHandle(n); } int num_retvals = 1; if (async) { // Enqueue dummy ops so we backlog async execution & actually test async. // This is usually unnecessary, but we've experienced the occasional test // failure when testing async mode with no explicit forwarding. for (int i = 0; i < 100000; ++i) { TFE_Op* add_op_dummy = AddOp(ctx, m, m);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
const int in_flight_nodes_limit) : status_(TF_NewStatus()), // If the context's default exector is set to async, re-using that in // each thread would cause collectives to deadlock. For consistency we // create a new sync executor for every thread. // // TODO(allenl): We should have an async API that works with the
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/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/c_api_experimental_test.cc
ASSERT_TRUE(TF_GetCode(status) == TF_OK) << TF_Message(status); TF_DeleteFunction(fn); for (bool async : {false, true, false}) { TFE_Executor* old_executor = TFE_ContextGetExecutorForThread(ctx); TFE_Executor* executor = TFE_NewExecutor( /*is_async=*/async, /*enable_streaming_enqueue=*/true, /*in_flight_nodes_limit=*/0); TFE_ContextSetExecutorForThread(ctx, executor);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 03:14:26 GMT 2023 - 31.5K bytes - Viewed (1) -
tensorflow/c/eager/c_api_remote_test_util.h
// which creates a remote input, to simulate a scenario that the remote input // is not ready when we start running an op or a function. void TestRemoteExecuteSilentCopies(bool async, bool remote, bool func, bool heavy_load_on_streaming_rpc, bool remote_func_outputs = false, bool has_packed_input = false);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 1.4K bytes - Viewed (0)