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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/eager/custom_device_test.cc
std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> matmul( MatMulOp(context, hcpu, hdevice), TFE_DeleteOp); TFE_OpSetDevice(matmul.get(), name, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); TFE_TensorHandle* retval; int num_retvals = 1; TFE_Execute(matmul.get(), &retval, &num_retvals, status.get());
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Aug 27 23:39:24 GMT 2020 - 18.4K 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 23 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 23 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 23 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_test.cc
absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) -> Status { return ops::MatMul(ctx, inputs[0], inputs[1], &outputs[0], transpose_a, transpose_b, "MatMul"); }; ASSERT_NO_FATAL_FAILURE(CompareNumericalAndAutodiffGradients( MatMulModel, BuildGradModel(MatMulModel, registry_),
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Thu Apr 13 17:32:14 GMT 2023 - 16.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_remote_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 23 12:39:09 GMT 2024 - Last Modified: Wed Aug 12 00:14:22 GMT 2020 - 5.4K bytes - Viewed (0) -
tensorflow/c/eager/c_api_cluster_test.cc
TFE_TensorHandle* h0_task0 = TestMatrixTensorHandle(ctx); TFE_Op* matmul = MatMulOp(ctx, h0_task0, h0_task0); 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 23 12:39:09 GMT 2024 - Last Modified: Fri Apr 14 10:03:59 GMT 2023 - 19.3K 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_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 23 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1)