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tensorflow/c/eager/c_api_remote_test_util.h
#ifndef TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_ #define TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_ // Run a function containing a MatMul op and check its output. // If heavy_load_on_streaming_rpc is true, send some rpc requests before the one // 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.
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) -
tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 09 19:31:22 GMT 2020 - 6.3K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler.h
// [Optional] // Create function for optimizer. void* (*create_func)(); // Optimizer function for optimizer. The first param is an optimizer created // by create_func. The second param is input graph. The third param is // GrapplerItem. The fourth param is output graph. void (*optimize_func)(void*, const TF_Buffer*, const TF_GrapplerItem*, TF_Buffer*, TF_Status*);
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Aug 03 18:08:43 GMT 2022 - 12.5K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.h
TF_Status* status); // Create and modify a variable placed on a parallel device which composes // `first_device` and `second_device`. void BasicTestsForTwoDevices(TFE_Context* context, const char* first_device, const char* second_device); // Implementations of templated functions ****************************** template <std::size_t num_replicas>
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 09 01:12:35 GMT 2021 - 6.9K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.h
// two component devices, running `x = TPUReplicatedInput(inputs=[a, b])` on the // parallel device creates a parallel tensor `x` with `a` on the first of // `underlying_devices` and `b` on the second. Running `a_unpacked, b_unpacked = // TPUReplicatedOutput(input=x, num_replicas=2)` un-packs the parallel tensor // into its components. // // The filled `device` struct and the allocated `device_info` struct may be
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jun 04 21:49:16 GMT 2020 - 2.9K bytes - Viewed (0) -
tensorflow/c/c_api.h
// .Attr("T: type"); // that defines two inputs, "concat_dim" and "values" (in that order). // You must use TF_AddInput() for the first input (since it takes a // single tensor), and TF_AddInputList() for the second input (since // it takes a list, even if you were to pass a list with a single // tensor), as in: // TF_OperationDescription* desc = TF_NewOperation(graph, "Concat", "c"); // TF_Output concat_dim_input = {...};
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3) -
tensorflow/c/eager/tape.h
if (grad_it == gradients.end()) { result[i] = nullptr; } else { if (grad_it->second.size() > 1) { Gradient* grad = vspace.AggregateGradients(grad_it->second); grad_it->second.clear(); grad_it->second.push_back(grad); } result[i] = grad_it->second[0]; used_gradient_ids.insert(tensor_id); } } VLOG(1) << "Final gradients size: "
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1)