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tensorflow/c/c_api_experimental.cc
// (as in the case of ConstOp kernel creation on GPU, which involves copying a // CPU tensor to GPU). // Setting a larger thread pool does not help with the Swift caller, as we use // a different TFE context for each thread of execution (for running graph // functions, and their send/recvs corountines). config.set_inter_op_parallelism_threads(1); TF_Buffer* ret = TF_NewBuffer(); TF_CHECK_OK(MessageToBuffer(config, ret));
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_testlib.cc
status.get()), variable_deleter); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); // Assign an initial value to the variable, mirroring it to each component // device. { TensorHandlePtr initial_value_cpu = FloatTensorHandle(20., status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jun 15 15:44:44 GMT 2021 - 12.5K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.cc
if (operation_name == std::string("_EagerConst")) { // Non-parallel tensors from _EagerConst/tf.constant are implicitly // broadcast, i.e. set as the input to each parallel operation. This // allows code like "tf.constant(1.)" or "tf.reduce_sum(..., axis=1)" // (where the value starts on the host), without allowing other implicit
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/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 // parallel device.
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/experimental/filesystem/plugins/gcs/gcs_filesystem_test.cc
status_ = TF_NewStatus(); filesystem_ = new TF_Filesystem; filesystem_->plugin_filesystem = nullptr; // Because different tests requires different setup for filesystem. We // initialize filesystem in each testcase. } void TearDown() override { TF_DeleteStatus(status_); if (filesystem_->plugin_filesystem != nullptr) tf_gcs_filesystem::Cleanup(filesystem_); delete filesystem_; }
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Aug 31 12:04:23 GMT 2020 - 24.9K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_test.cc
TensorHandlePtr parallel_value = CreatePerDeviceValues( 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/experimental/filesystem/modular_filesystem_registration.cc
"memory regions"); return OkStatus(); } // Validates the operations supplied by the plugin. // // Uses the 4 simpler `ValidateHelper(const TF_...*)` to validate each // individual function table and then checks that the function table for a // specific file type exists if the plugin offers support for creating that // type of files.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 07 22:08:43 GMT 2023 - 12.8K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/math_grad.cc
// Get transpose attrs bool t_a; TF_RETURN_IF_ERROR(forward_attrs_.Get("transpose_a", &t_a)); bool t_b; TF_RETURN_IF_ERROR(forward_attrs_.Get("transpose_b", &t_b)); // Conj each input AbstractTensorHandle* conj_output; std::string name = "Conj_A_MatMul_Grad"; TF_RETURN_IF_ERROR( SafeConj(ctx, forward_inputs_[0], &conj_output, name.c_str()));
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 15.2K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
// The cache has space for `block_count` blocks. The loop with i = 0 should // fill the cache, and the loop with i = 1 should be all cache hits. The // fetcher checks that it is called once and only once for each offset (to // fetch the corresponding block). for (int i = 0; i < 2; i++) { for (int j = 0; j < block_count; j++) { TF_EXPECT_OK(ReadCache(&cache, "", block_size * j, block_size, &out)); } }
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:57 GMT 2021 - 23.2K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
namespace tensorflow { namespace { using ::tensorflow::error::Code; // As we need to test multiple URI schemes we need a parameterized test. // Furthermore, since each test creates and deletes files, we will use the same // fixture to create new directories in `SetUp`. Each directory will reside in // `::testing::TempDir()`, will use a RNG component and the test name. This // ensures that two consecutive runs are unlikely to clash.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 27 20:25:58 GMT 2022 - 71K bytes - Viewed (0)