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tensorflow/c/experimental/gradients/nn_grad.cc
#include "tensorflow/c/eager/immediate_execution_context.h" #include "tensorflow/c/eager/immediate_execution_tensor_handle.h" #include "tensorflow/c/experimental/ops/array_ops.h" #include "tensorflow/c/experimental/ops/math_ops.h" #include "tensorflow/c/experimental/ops/nn_ops.h" #include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h" #include "tensorflow/core/platform/errors.h" using std::vector; using tensorflow::ops::BiasAddGrad;
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/custom_gradient_test.cc
#include "tensorflow/c/eager/c_api_unified_experimental_internal.h" #include "tensorflow/c/eager/gradients.h" #include "tensorflow/c/eager/unified_api_testutil.h" #include "tensorflow/c/experimental/ops/math_ops.h" #include "tensorflow/c/tf_status_helper.h" #include "tensorflow/core/platform/errors.h" #include "tensorflow/core/platform/test.h" namespace tensorflow { namespace gradients { namespace internal {
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_distributed_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_Op* matmul = MatMulOp(ctx, h0_task1, h1_task1); TFE_OpSetDevice(matmul, remote_device_name, status); EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_TensorHandle* retvals[1]; int num_retvals = 1; TFE_Execute(matmul, &retvals[0], &num_retvals, status); EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
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/gradients_test.cc
#include "tensorflow/c/experimental/gradients/array_grad.h" #include "tensorflow/c/experimental/gradients/math_grad.h" #include "tensorflow/c/experimental/gradients/not_differentiable.h" #include "tensorflow/c/experimental/gradients/tape/tape_context.h" #include "tensorflow/c/experimental/ops/array_ops.h" #include "tensorflow/c/experimental/ops/math_ops.h" #include "tensorflow/c/tf_status_helper.h" #include "tensorflow/c/tf_tensor.h"
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.cc
#include "tensorflow/c/eager/gradient_checker.h" #include <memory> #include "absl/types/span.h" #include "tensorflow/c/eager/abstract_tensor_handle.h" #include "tensorflow/c/experimental/ops/math_ops.h" #include "tensorflow/c/tf_tensor.h" namespace tensorflow { namespace gradients { using namespace std; // ================== Helper functions =================
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/math_grad.cc
// Calc Grad AbstractTensorHandle* matmul_A_output; AbstractTensorHandle* matmul_B_output; std::string name_grad_A = "MatMul_Grad_A"; std::string name_grad_B = "MatMul_Grad_B"; if (!t_a && !t_b) { TF_RETURN_IF_ERROR(MatMul(ctx, upstream_grad, B.get(), &matmul_A_output, /*transpose_a = */ false,
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/eager/c_api_test_util.cc
return op; } TFE_Op* MatMulOp(TFE_Context* ctx, TFE_TensorHandle* a, TFE_TensorHandle* b) { TF_Status* status = TF_NewStatus(); TFE_Op* op = TFE_NewOp(ctx, "MatMul", status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpAddInput(op, a, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpAddInput(op, b, 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_test.cc
TFE_TensorHandle* m = TestMatrixTensorHandle(ctx); TFE_Op* matmul = TFE_NewOp(ctx, "MatMul", status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_TensorHandle* retvals[1]; int num_retvals = 1; for (auto s : state) { TFE_OpReset(matmul, "MatMul", nullptr, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpAddInput(matmul, m, status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
tensorflow/c/eager/c_api_experimental_test.cc
EXPECT_EQ(7, product[0]); EXPECT_EQ(10, product[1]); EXPECT_EQ(15, product[2]); EXPECT_EQ(22, product[3]); TF_DeleteStatus(status); } TEST(CAPI, Executor_MatMul_CPU) { Executor_MatMul_CPU(false); } TEST(CAPI, Executor_MatMul_CPUAsync) { Executor_MatMul_CPU(true); } void Deleter(void* data, size_t unused, void* tensor_handle) { TFE_DeleteTensorHandle(static_cast<TFE_TensorHandle*>(tensor_handle)); }
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/c_api_test.cc
TF_Operation* const1 = FloatConst2x2(graph_, s_, const1_val, "Const_1"); TF_Operation* matmul = MatMul(graph_, s_, const0, const1, "MatMul"); inputs[0] = TF_Output{const0, 0}; inputs[1] = TF_Output{const1, 0}; outputs[0] = TF_Output{matmul, 0}; EXPECT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_); } void BuildExpectedGraph(bool grad_inputs_provided,
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)