/external/tensorflow/tensorflow/core/kernels/ |
scatter_functor.h | 125 namespace functor { namespace in namespace:tensorflow 244 } // namespace functor
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scatter_nd_op_cpu_impl.h | 19 // Functor definitions for ScatterND ops, must be compilable by nvcc. 87 namespace functor { namespace in namespace:tensorflow 89 // Implementation of update functor for CPU. 171 // Implementation of update functor for SYCL. 256 } // namespace functor
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scatter_nd_op_gpu.cu.cc | 108 namespace functor { namespace in namespace:tensorflow 110 // Functor used by ScatterOp to do the computations. 150 } // namespace functor 153 template struct functor::ScatterNdFunctor<GPUDevice, T, Index, op, IXDIM>;
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spacetobatch_functor.cc | 28 namespace functor { namespace in namespace:tensorflow 167 } // namespace functor
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spacetobatch_functor_gpu.cu.cc | 100 namespace functor { namespace in namespace:tensorflow 166 } // end namespace functor
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sparse_tensor_dense_add_op.cc | 96 functor::ScatterNdFunctor<Device, T, Index, N, \ 123 namespace functor { namespace in namespace:tensorflow 144 } // namespace functor
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sparse_tensor_dense_matmul_op_gpu.cu.cc | 63 namespace functor { namespace in namespace:tensorflow 93 } // namespace functor 96 template struct functor::SparseTensorDenseMatMulFunctor< \ 98 template struct functor::SparseTensorDenseMatMulFunctor< \ 100 template struct functor::SparseTensorDenseMatMulFunctor< \ 102 template struct functor::SparseTensorDenseMatMulFunctor< \
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tile_functor_gpu.cu.cc | 84 namespace functor { namespace in namespace:tensorflow 88 // Register functors used for Tile functor. 105 } // end namespace functor
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training_ops_gpu.cu.cc | 27 namespace functor { namespace in namespace:tensorflow 259 } // namespace functor 261 template struct functor::ApplyGradientDescent<GPUDevice, Eigen::half>; 262 template struct functor::ApplyGradientDescent<GPUDevice, float>; 263 template struct functor::ApplyGradientDescent<GPUDevice, double>; 265 template struct functor::ApplyAdagrad<GPUDevice, Eigen::half>; 266 template struct functor::ApplyAdagrad<GPUDevice, float>; 267 template struct functor::ApplyAdagrad<GPUDevice, double>; 269 template struct functor::ApplyAdadelta<GPUDevice, Eigen::half>; 270 template struct functor::ApplyAdadelta<GPUDevice, float> [all...] |
batch_norm_op.cc | 74 functor::BatchNorm<Device, T>()( 150 functor::BatchNormGrad<Device, T>()( 175 // Forward declarations of the functor specializations for GPU. 176 namespace functor { namespace in namespace:tensorflow 192 } // namespace functor 231 // Forward declarations of the functor specializations for GPU. 232 namespace functor { namespace in namespace:tensorflow 251 } // namespace functor
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bias_op.cc | 169 functor::Bias<Device, T, Dims> functor; local 170 functor(ctx->eigen_device<Device>(), input.tensor<T, Dims>(), bias.vec<T>(),
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compare_and_bitpack_op.cc | 70 functor::CompareAndBitpack<Device, T> func; 85 namespace functor { namespace in namespace:tensorflow 165 } // namespace functor 179 namespace functor { namespace in namespace:tensorflow 194 } // namespace functor
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constant_op.cc | 197 functor::FillFunctor<Device, T> functor; variable 198 functor(context->eigen_device<Device>(), out->flat<T>(), 296 functor::SetZeroFunctor<Device, T> f; 353 functor::SetOneFunctor<Device, T> f;
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cwise_op_select.cc | 104 functor::BatchSelectFunctor<Device, T> func; 118 functor::SelectFunctor<Device, T> func; 138 functor::SelectScalarFunctor<Device, T> func; 190 namespace functor { namespace in namespace:tensorflow 266 } // namespace functor
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cwise_ops_sycl_common.h | 30 namespace functor { namespace in namespace:tensorflow 39 // Partial specialization of UnaryFunctor<Device=SYCLDevice, Functor>. 40 template <typename Functor> 41 struct UnaryFunctor<SYCLDevice, Functor> { 42 void operator()(const SYCLDevice& d, typename Functor::tout_type out, 43 typename Functor::tin_type in) { 44 To32Bit(out).device(d) = To32Bit(in).unaryExpr(typename Functor::func()); 48 // Partial specialization of BinaryFunctor<Device=SYCLDevice, Functor>. 49 template <typename Functor, int NDIMS, bool has_errors> 50 struct BinaryFunctor<SYCLDevice, Functor, NDIMS, has_errors> [all...] |
depthtospace_op.cc | 120 functor::DepthToSpaceOpFunctor<GPUDevice, int32, FORMAT_NCHW> functor; variable 121 functor(context->eigen_device<GPUDevice>(), Tinput_v, block_size_, 125 functor::DepthToSpaceOpFunctor<GPUDevice, T, FORMAT_NCHW> functor; variable 126 functor(context->eigen_device<GPUDevice>(), Tinput, block_size_, 136 functor::DepthToSpaceOpFunctor<Device, T, FORMAT_NHWC> functor; variable 137 functor(context->eigen_device<Device>(), Tinput, block_size_, Toutput); 148 namespace functor { namespace in namespace:tensorflow [all...] |
determinant_op.cc | 161 functor::SetOneFunctor<GPUDevice, Scalar> f; 236 functor::DeterminantFromPivotedLUFunctor<GPUDevice, Scalar> functor; variable 237 functor(d, 304 functor::SetOneFunctor<GPUDevice, Scalar> one_func; 306 functor::SetZeroFunctor<GPUDevice, Scalar> zero_func; 385 functor::LogDeterminantFromPivotedLUFunctor<GPUDevice, Scalar> functor; variable 386 functor(d, input_copy_reshaped_const, pivots_mat.data(), sign_reshaped,
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/external/v8/tools/testrunner/local/ |
progress.py | 102 def functor(self, *args, **kwargs): function in function:.Register.wrap_functor 106 return functor
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/external/eigen/Eigen/src/Core/ |
CwiseBinaryOp.h | 62 * \tparam BinaryOp template functor implementing the operator 87 typedef typename internal::remove_all<BinaryOp>::type Functor; 136 /** \returns the functor representing the binary operation */ 138 const BinaryOp& functor() const { return m_functor; } function in class:Eigen::CwiseBinaryOp
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CwiseNullaryOp.h | 29 * \brief Generic expression of a matrix where all coefficients are defined by a functor 31 * \tparam NullaryOp template functor implementing the operator 41 * The functor NullaryOp must expose one of the following method: 82 /** \returns the functor representing the nullary operation */ 84 const NullaryOp& functor() const { return m_functor; } function in class:Eigen::CwiseNullaryOp 93 /** \returns an expression of a matrix defined by a custom functor \a func 102 * The template parameter \a CustomNullaryOp is the type of the functor. 114 /** \returns an expression of a matrix defined by a custom functor \a func 125 * The template parameter \a CustomNullaryOp is the type of the functor. 142 /** \returns an expression of a matrix defined by a custom functor \a fun [all...] |
CwiseTernaryOp.h | 61 * \tparam TernaryOp template functor implementing the operator 173 /** \returns the functor representing the ternary operation */ 175 const TernaryOp& functor() const { return m_functor; } function in class:Eigen::CwiseTernaryOp
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/external/tensorflow/tensorflow/contrib/image/kernels/ |
image_ops.h | 142 // NOTE(ringwalt): We MUST wrap the generate() call in a functor and explicitly 143 // instantiate the functor in image_ops_gpu.cu.cc. Otherwise, we will be missing 145 namespace functor { namespace in namespace:tensorflow 169 } // end namespace functor
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/external/tensorflow/tensorflow/contrib/resampler/kernels/ |
resampler_ops.cc | 36 namespace functor { namespace in namespace:tensorflow 123 } // namespace functor 171 functor::Resampler2DFunctor<Device, T>()( 202 namespace functor { namespace in namespace:tensorflow 327 } // namespace functor 381 functor::ResamplerGrad2DFunctor<Device, T>()(
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/external/tensorflow/tensorflow/contrib/rnn/kernels/ |
gru_ops.cc | 150 functor::GRUBlockCellFprop<Device, T, USE_CUBLAS>(batch_size, input_size, 358 functor::GRUBlockCellBprop<Device, T, USE_CUBLAS>(batch_size, input_size, 386 // Forward declare the GPU Fprop functor. 387 namespace functor { namespace in namespace:tensorflow 405 } // end namespace functor 416 // Forward declare the GPU Bprop functor. 417 namespace functor { namespace in namespace:tensorflow 438 } // end namespace functor
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lstm_ops_gpu.cu.cc | 28 namespace functor { namespace in namespace:tensorflow 409 } // end namespace functor
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