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tensorflow/c/eager/c_api_experimental.h
// Dynamic cluster API. // Update an existing context with a new set of servers defined in a ServerDef // proto. Servers can be added to and removed from the list of remote workers // in the context. A New set of servers identified by the ServerDef must be up // when the context is updated. // // This API is for experimental usage and may be subject to change.
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tensorflow/c/BUILD
visibility = ["//tensorflow/python:__pkg__"], deps = [ ":c_api", ":c_api_internal", "//tensorflow/core:protos_all_cc", # TODO(b/74620627): remove when _USE_C_SHAPES is removed ], alwayslink = 1, ) cc_library( name = "conversion_macros", hdrs = [ "conversion_macros.h", ],
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tensorflow/c/eager/gradients.cc
// and not for correctness. The only downside of keeping this 1 seems to be // that the gradient accumulation is unbounded and we will never // aggressively aggregate accumulated gradients to recover memory. // Revisit and fix. return 1; } // Consumes references to the tensors in the gradient_tensors list and returns // a tensor with the result. AbstractTensorHandle* TapeVSpace::AggregateGradients(
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tensorflow/c/eager/c_api_experimental.cc
tensorflow::SessionOptions sess_options; (*sess_options.config.mutable_device_count())["CPU"] = num_cpus; status->status = tensorflow::DeviceFactory::AddCpuDevices(sess_options, prefix, &devices); // Remove the device that has the host device name since host device is alreay // in an initialized context. for (auto d = devices.begin(); d != devices.end();) { if (absl::StrContains(d->get()->name(), "CPU:0")) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
tensorflow/c/eager/BUILD
"//tensorflow/core/platform:env", "@com_google_absl//absl/strings", ], ) tf_cuda_library( name = "c_api_remote_test_util", testonly = 1, srcs = ["c_api_remote_test_util.cc"], hdrs = ["c_api_remote_test_util.h"], visibility = ["//visibility:private"], deps = [ ":c_api", ":c_api_internal", ":c_api_test_util",
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ci/official/utilities/code_check_full.bats
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tensorflow/c/eager/tape.h
// "Jacobian-vector product"; `Watch`ing a new Tensor and immediately calling // FetchJVP for it would return `tangent`. void Watch(int64_t tensor_id, Gradient* tangent); // Removes the gradient associated with tensor_id. Should be called when the // Tensor associated with `tensor_id` is deleted. void DeleteGradient(int64_t tensor_id);
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tensorflow/c/eager/c_api_distributed_test.cc
EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); // Pack 3 variable handles into one TFE_TensorHandle. // When remote is false, function device is placed on task0. Handle types are // REMOTE, REMOTE, LOCAL on task0. When remote is true, function device is // placed on task1, Handle types are LOCAL, REMOTE, LOCAL on task1. int num_replicas = 3; std::vector<TFE_TensorHandle*> handles = {h0, h1, h2};
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
per_device_output_tensors.push_back(device_thread->Join(status)); // We will run every Join even if there are bad statuses in case the user // wants to recover and continue running ops on the parallel device (which // would otherwise deadlock). if (TF_GetCode(status) != TF_OK && (first_bad_status == nullptr
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