/external/tensorflow/tensorflow/core/kernels/ |
D | eigen_backward_spatial_convolutions_test.cc | 37 const int output_rows = input_rows - patch_rows + 1; in TEST() local 86 const int output_rows = input_rows - patch_rows + 1; in TEST() local 138 const int output_rows = input_rows; in TEST() local 186 const int output_rows = input_rows; in TEST() local 238 const int output_rows = input_rows - patch_rows + 1; in TEST() local 293 const int output_rows = input_rows - patch_rows + 1; in TEST() local 348 const int output_rows = divup(input_rows - patch_rows + 1, stride); in test_batched_strided_spatial_convolution_backward_input_valid() local 424 const int output_rows = divup(input_rows - patch_rows + 1, stride); in test_batched_strided_spatial_convolution_backward_input_valid_row_major() local 501 const int output_rows = input_rows - patch_rows + 1; in TEST() local 555 const int output_rows = input_rows - patch_rows + 1; in TEST() local [all …]
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D | eigen_pooling_test.cc | 34 const int output_rows = 2; in TEST() local 82 const int output_rows = 2; in TEST() local 133 const int output_rows = 2; in TEST() local 193 const int output_rows = 2; in TEST() local 253 const int output_rows = 2; in TEST() local 315 const int output_rows = 2; in TEST() local 377 const int output_rows = input_rows; in TEST() local 455 const int output_rows = input_rows; in TEST() local 531 const int output_rows = 2; in TEST() local 579 const int output_rows = 2; in TEST() local [all …]
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D | dilation_ops_gpu.cu.cc | 41 int depth, int filter_rows, int filter_cols, int output_rows, in DilationKernel() 81 int filter_cols, int output_rows, int output_cols, int stride_rows, in DilationBackpropInputKernel() 131 int filter_cols, int output_rows, int output_cols, int stride_rows, in DilationBackpropFilterKernel() 193 const int output_rows = output.dimension(1); in operator ()() local 224 const int output_rows = out_backprop.dimension(1); in operator ()() local 266 const int output_rows = out_backprop.dimension(1); in operator ()() local
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D | eigen_backward_cuboid_convolutions_test.cc | 38 const int output_rows = input_rows - patch_rows + 1; in TEST() local 101 const int output_rows = input_rows - patch_rows + 1; in TEST() local 164 const int output_rows = input_rows; in TEST() local 235 const int output_rows = input_rows; in TEST() local 307 const int output_rows = input_rows - patch_rows + 1; in TEST() local 374 const int output_rows = input_rows - patch_rows + 1; in TEST() local 441 const int output_rows = input_rows - patch_rows + 1; in TEST() local 507 const int output_rows = input_rows - patch_rows + 1; in TEST() local 574 const int output_rows = input_rows - patch_rows + 1; in TEST() local 641 const int output_rows = input_rows - patch_rows + 1; in TEST() local [all …]
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D | segment_reduction_ops_impl.h | 106 const Index output_rows = in Compute() local 282 Index output_rows = *output_rows_host.data(); in ComputeAsync() local
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D | where_op_gpu.cu.h | 41 const TIndex output_rows, const typename Eigen::array<TIndex, NDIM> strides, in PropagateWhereIndicesKernel()
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D | dilation_ops.cc | 176 const int output_rows = output.dimension(1); in operator ()() local 285 const int output_rows = out_backprop.dimension(1); in operator ()() local 405 const int output_rows = out_backprop.dimension(1); in operator ()() local
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D | eigen_spatial_convolutions_test.cc | 36 const int output_rows = input_rows; in TEST() local 81 const int output_rows = input_rows; in TEST() local 201 const int output_rows = input_rows - patch_rows + 1; in TEST() local 256 const int output_rows = 2; in TEST() local 311 const int output_rows = input_rows - patch_rows + 1; in TEST() local 367 const int output_rows = 2; in TEST() local 415 const int output_rows = 2; in TEST() local 463 const int output_rows = 2; in TEST() local 514 const int output_rows = 3; in TEST() local 565 const int output_rows = 3; in TEST() local [all …]
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D | segment_reduction_ops_gpu.cu.cc | 136 const Index output_rows, in operator ()()
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/external/libopus/src/ |
D | mapping_matrix.c | 91 int output_rows, in mapping_matrix_multiply_channel_in_float() 125 int output_rows, in mapping_matrix_multiply_channel_out_float() 162 int output_rows, in mapping_matrix_multiply_channel_in_short() 202 int output_rows, in mapping_matrix_multiply_channel_out_short()
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/external/tensorflow/tensorflow/compiler/xla/service/cpu/ |
D | runtime_single_threaded_conv2d.cc | 29 tensorflow::int64 kernel_filters, tensorflow::int64 output_rows, in __xla_cpu_runtime_EigenSingleThreadedConvF16() 51 tensorflow::int64 output_rows, tensorflow::int64 output_cols, in __xla_cpu_runtime_EigenSingleThreadedConvF32()
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D | runtime_conv2d.cc | 32 tensorflow::int64 output_rows, tensorflow::int64 output_cols, in __xla_cpu_runtime_EigenConvF32() 55 tensorflow::int64 kernel_filters, tensorflow::int64 output_rows, in __xla_cpu_runtime_EigenConvF16()
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D | runtime_conv2d_mkl.cc | 56 int64 output_rows, int64 output_cols, int64 row_stride, in MKLConvImpl() 158 int64 kernel_filters, int64 output_rows, int64 output_cols, in __xla_cpu_runtime_MKLConvF32()
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D | runtime_conv2d_impl.h | 37 Eigen::Index kernel_filters, Eigen::Index output_rows, in EigenConvImpl()
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/external/tensorflow/tensorflow/lite/kernels/internal/optimized/integer_ops/ |
D | fully_connected.h | 58 const int output_rows = output_shape.Dims(output_dim_count - 1); in FullyConnected() local
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D | conv.h | 87 const int output_rows = output_shape.Dims(3); in ConvPerChannel() local
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D | depthwise_conv_hybrid.h | 65 const int output_rows = output_shape.Dims(1); in DepthwiseConvHybridGeneral() local 406 const int output_rows = output_shape.Dims(1); in DepthwiseConvHybridPerChannel() local
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/external/tensorflow/tensorflow/core/framework/ |
D | common_shape_fns.cc | 120 DimensionHandle output_rows = transpose_a ? c->Dim(a, 1) : c->Dim(a, 0); in MatMulShape() local 320 DimensionHandle output_rows = c->Dim(a_shape, adj_x ? -1 : -2); in BatchMatMulV2Shape() local 357 DimensionHandle output_rows = c->Dim(a_shape, adj_x ? -1 : -2); in BatchMatMulShape() local 701 DimensionHandle output_rows, output_cols; in Conv2DShapeImpl() local 825 DimensionHandle output_planes, output_rows, output_cols; in Conv3DShape() local 1015 DimensionHandle output_rows, output_cols; in DepthwiseConv2DNativeShapeImpl() local 1109 DimensionHandle output_rows, output_cols; in AvgPoolShape() local 1563 DimensionHandle output_rows, output_cols, output_depth; in MaxPoolShapeImpl() local 1688 DimensionHandle output_rows, output_cols, output_depth; in MaxPoolV2Shape() local 1765 DimensionHandle output_planes, output_rows, output_cols; in Pool3DShape() local
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/external/tensorflow/tensorflow/core/ops/ |
D | sparse_csr_matrix_ops.cc | 269 auto output_rows = c->Dim(a_shape, transpose_a ? -1 : -2); in __anon5631e9dc0702() local 426 auto output_rows = c->Dim(a_shape, transpose_a ? -1 : -2); in __anon5631e9dc0a02() local
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D | nn_ops.cc | 504 DimensionHandle output_rows, output_cols; in CommonFusedConvCalculations() local 1040 int64 output_rows, output_cols; in __anon4650176f1702() local
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D | array_ops.cc | 2647 int64 output_rows, output_cols; in __anondb9326b23902() local 2753 int64 output_planes, output_rows, output_cols; in __anondb9326b23a02() local
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/external/libjpeg-turbo/ |
D | jcprepct.c | 110 int output_rows) in expand_bottom_edge()
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/external/tensorflow/tensorflow/core/kernels/sparse/ |
D | transpose_op.cc | 164 const int64 output_rows = output_dense_shape(rank - 2); in operator ()() local
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/external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
D | legacy_optimized_ops.h | 450 const int output_rows = output_shape.Dims(1); variable 552 const int output_rows = output_shape.Dims(1); variable 1054 const int output_rows = output_shape.Dims(output_dim_count - 1); in FullyConnectedAsGEMV() local 1130 const int output_rows = output_shape.Dims(output_dim_count - 1); in FullyConnected() local 2065 const int output_rows = output_shape.Dims(output_dim_count - 1); in LegacyInt8FullyConnectedAsGEMV() local 2147 const int output_rows = output_shape.Dims(output_dim_count - 1); in FullyConnected() local 2690 const int output_rows = output_shape.Dims(3); in Conv() local 2883 const int output_rows = output_dims.sizes[0]; in ConvAsGemm() local
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D | optimized_ops.h | 395 const int output_rows = output_shape.Dims(output_dim_count - 1); in FullyConnected() local 1399 const int output_rows = FlatSizeSkipDim(output_shape, 3); in HybridConv() local 1478 const int output_rows = output_shape.Dims(3); in HybridConvPerChannel() local 1604 const int output_rows = output_shape.Dims(3); in Conv() local
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