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tensorflow/c/eager/unified_api_testutil.h
Status TestTensorHandleWithDims(AbstractContext* ctx, const T* data, const int64_t* dims, int num_dims, AbstractTensorHandle** tensor) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); TFE_Context* eager_ctx = TF_ExecutionContextGetTFEContext(wrap(ctx), status.get());
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 4K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_); EXPECT_TF_META("v", list.size(), TF_ATTR_STRING, list_total_size); std::unique_ptr<void*[]> values(new void*[list.size()]); std::unique_ptr<size_t[]> lens(new size_t[list.size()]); std::unique_ptr<char[]> storage(new char[list_total_size]); TF_OperationGetAttrStringList(oper, "v", values.get(), lens.get(),
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/eager/gradients.cc
namespace tensorflow { namespace gradients { namespace { // TODO(b/172558015): Using the pointer address as the identifier for the tensor // may lead to collisions. Introduce another way to get a unique id for this // tensor. int64_t ToId(const AbstractTensorHandle* t) { return static_cast<int64_t>(reinterpret_cast<uintptr_t>(t)); } Status ZerosLike(AbstractContext* ctx, AbstractTensorHandle* t,
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/unified_api_testutil.cc
#include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h" #include "tensorflow/core/platform/errors.h" namespace tensorflow { AbstractContext* BuildFunction(const char* fn_name) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); TF_ExecutionContext* graph_ctx = TF_CreateFunction(fn_name, status.get()); return unwrap(graph_ctx); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/custom_gradient_test.cc
Tape tape(/*persistent=*/false); tape.Watch(inputs[0]); // Watch x. AbstractTensorHandle* exp_output; TF_RETURN_IF_ERROR(ops::Exp(ctx, inputs[0], &exp_output, "Exp")); std::unique_ptr<GradientFunction> gradient_function( new PassThroughGradientFunction); tape.RecordOperation(inputs, {exp_output}, gradient_function.release()); TF_RETURN_IF_ERROR(tape.ComputeGradient(ctx,
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 4.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_graph.cc
} if (op_type_.empty()) { return errors::FailedPrecondition( "GraphOperation::Reset must be called before calling SetOpName."); } // TODO(b/145674566): We use Graph::NewName to get a unique name here but // this may not be consistent with python's naming policy. mutex_lock l(g_->mu); op_.reset(new TF_OperationDescription(g_, op_type_.c_str(),
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 15.4K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
class OpDeleter { public: void operator()(TFE_Op* to_delete) const { TFE_DeleteOp(to_delete); } }; using OpPtr = std::unique_ptr<TFE_Op, OpDeleter>; class StatusDeleter { public: void operator()(TF_Status* to_delete) const { TF_DeleteStatus(to_delete); } }; using StatusPtr = std::unique_ptr<TF_Status, StatusDeleter>; class ExecutorDeleter { public: void operator()(TFE_Executor* to_delete) const {
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_test_util.cc
TFE_OpAddInput(op, var_handle, status); // Convert 'value' to a TF_Tensor then a TFE_TensorHandle. std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)> t( TF_AllocateTensor(TF_FLOAT, nullptr, 0, sizeof(value)), TF_DeleteTensor); memcpy(TF_TensorData(t.get()), &value, TF_TensorByteSize(t.get())); std::unique_ptr<TFE_TensorHandle, decltype(&TFE_DeleteTensorHandle)> value_handle(TFE_NewTensorHandle(t.get(), status),
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 23.5K bytes - Viewed (2) -
tensorflow/c/eager/c_api_distributed_test.cc
server_def.set_task_index(1); std::unique_ptr<tensorflow::GrpcServer> worker_server1; ASSERT_TRUE(tensorflow::GrpcServer::Create( server_def, tensorflow::Env::Default(), &worker_server1) .ok()); ASSERT_TRUE(worker_server1->Start().ok()); server_def.set_task_index(2); std::unique_ptr<tensorflow::GrpcServer> worker_server2;
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.cc
return nullptr; } std::vector<std::unique_ptr<tensorflow::Device>> devices; status->status = tensorflow::DeviceFactory::AddDevices( opts->session_options.options, "/job:localhost/replica:0/task:0", &devices); if (!status->status.ok()) return nullptr; std::unique_ptr<tensorflow::DeviceMgr> device_mgr( new tensorflow::DynamicDeviceMgr(std::move(devices)));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2)