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tensorflow/c/c_api_experimental.cc
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/c_api_cluster_test.cc
namespace { using ::tensorflow::string; void ReplaceTaskInServerDef(tensorflow::ServerDef* server_def, int task_index) { tensorflow::JobDef* job_def = server_def->mutable_cluster()->mutable_job(0); int port = tensorflow::testing::PickUnusedPortOrDie(); job_def->mutable_tasks()->at(task_index) = tensorflow::strings::StrCat("localhost:", port); } void CheckTFE_TensorHandleHasFloats(TFE_TensorHandle* handle,
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/parallel_device/parallel_device_lib_test.cc
ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); std::vector<std::string> devices{ "/job:localhost/replica:0/task:0/device:CPU:0", "/job:localhost/replica:0/task:0/device:CPU:1"}; ParallelDevice parallel_device(std::move(devices)); std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> handle_op(
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/eager/custom_device_test.cc
TFE_OpReset(reused_op.get(), "Identity", "/job:localhost/replica:0/task:0/device:CPU:0", status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); ASSERT_EQ(tensorflow::string(TFE_OpGetDevice(reused_op.get(), status.get())), tensorflow::string("/job:localhost/replica:0/task:0/device:CPU:0")); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 27 23:39:24 GMT 2020 - 18.4K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
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/c_api_experimental_test.cc
// 3. Replace worker1 with a new worker in server_def_0 and server_def_1. ReplaceTaskInServerDef(&server_def_0, /*task_index=*/1, "localhost", port); ReplaceTaskInServerDef(&server_def_1, /*task_index=*/1, "localhost", port); // 4. Start a new task to replace worker1. server_def_0.set_task_index(1); worker_server1.release(); ASSERT_TRUE(tensorflow::GrpcServer::Create(
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_distributed_test.cc
// During execution: // * task:0 processes main function `VariableAddFunctionWithGraphError` // and places the 'read0_maybe_with_graph_error' op on task:2 // * task:0 partitions the main function with a subgraph containing // 'read0_maybe_with_graph_error' sent to task:2 // * task:2 graph pass reports an error when it sees
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/parallel_device/parallel_device_test.cc
ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); const char* device_name = "/job:localhost/replica:0/task:0/device:CUSTOM:0"; const char* first_device_name = "/job:localhost/replica:0/task:0/device:CPU:0"; const char* second_device_name = "/job:localhost/replica:0/task:0/device:CPU:1"; std::array<const char*, 2> underlying_devices{first_device_name,
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/parallel_device/parallel_device_testlib.cc
TF_NewTensor(TF_FLOAT, nullptr, 0, values, num_bytes, &FloatDeallocator, nullptr), TF_DeleteTensor); return TensorHandlePtr(TFE_NewTensorHandle(tensor.get(), status)); } // Creates a rank-one TFE_TensorHandle with value `v`. TensorHandlePtr VectorFloatTensorHandle(const std::vector<float>& v, TF_Status* status) { const int num_bytes = v.size() * sizeof(float);
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_lib.cc
return errors::Unimplemented(absl::StrCat( "Computing the shape of a ParallelTensor when the components do " "not all have the same rank is not supported. One tensor had " "shape ", first_shape.DebugString(), " and another had shape ", component_shape.DebugString())); } else {
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)