/external/tensorflow/tensorflow/python/kernel_tests/ |
D | pooling_ops_test.py | 1115 col_stride, argument 1158 strides = [1, 1, row_stride, col_stride] 1164 strides = [1, row_stride, col_stride, 1] 1193 col_stride, argument 1236 strides = [1, 1, row_stride, col_stride] 1240 strides = [1, row_stride, col_stride, 1] 1272 col_stride=1, 1286 col_stride=1, 1300 col_stride=1, 1314 col_stride=2, [all …]
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/external/tensorflow/tensorflow/core/kernels/ |
D | conv_2d.h | 31 Filter filter, int row_stride, int col_stride, 41 input, filter, col_stride, row_stride, padding, col_dilation, 52 int col_stride, int row_dilation, int col_dilation, in operator() 55 SpatialConvolutionFunc(d, output, input, filter, row_stride, col_stride, in operator() 61 int col_stride, int row_dilation, int col_dilation, in operator() 66 d, output, input, filter, row_stride, col_stride, row_dilation, in operator() 78 int row_stride, int col_stride, int row_dilation, 83 col_stride, row_stride, padding, col_dilation, 91 int row_stride, int col_stride, int row_dilation, 97 input.cast<float>(), filter.cast<float>(), col_stride, row_stride, [all …]
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D | conv_grad_ops.h | 177 int col_stride, const Padding& padding, 187 int col_stride, const Padding& padding, 197 int col_dilation, int row_stride, int col_stride, 208 int col_stride, const Padding& padding,
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D | maxpooling_op.h | 33 int window_cols, int row_stride, int col_stride, in operator() 38 col_stride, row_stride, padding); in operator() 46 int window_cols, int row_stride, int col_stride,
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D | avgpooling_op.h | 31 int window_cols, int row_stride, int col_stride, in operator() 36 To32Bit(input).swap_layout(), window_cols, window_rows, col_stride, in operator() 41 input.swap_layout(), window_cols, window_rows, col_stride, row_stride, in operator()
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D | eigen_backward_spatial_convolutions.h | 103 const DenseIndex row_stride = 1, const DenseIndex col_stride = 1, 155 0, ((outputCols - 1) * col_stride + kernelColsEff - inputCols) / 2); 161 const TensorIndex padding_right = inputCols - (outputCols - 1) * col_stride - 287 col_in_stride, row_stride, col_stride, padding_top, 294 col_in_stride, row_stride, col_stride, 403 const DenseIndex row_stride = 1, const DenseIndex col_stride = 1, 421 eigen_assert(!(col_stride > 1 && col_in_stride > 1)); 470 0, (outputCols - 1) * col_stride + kernelColsEff - inputCols); 477 const TensorIndex expanded_out_cols = (outputCols - 1) * col_stride + 1; 592 col_stride, top_pad_rows, [all …]
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D | pooling_ops_common.h | 69 int col_stride; member 207 params.row_stride, params.col_stride, pt); in SpatialMaxPool() 243 const int32 col_stride = params.col_stride; in SpatialMaxPool() local 269 : (wpad - window_cols) / col_stride + 1; in SpatialMaxPool() 270 const int32 w_end = std::min(wpad / col_stride + 1, out_width); in SpatialMaxPool() 316 params.window_cols, params.row_stride, params.col_stride, 465 params.row_stride, params.col_stride, pt); 504 const int32 col_stride = params.col_stride; 530 : (wpad - window_cols) / col_stride + 1; 531 const int32 w_end = std::min(wpad / col_stride + 1, out_width); [all …]
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D | avgpooling_op.cc | 204 params.row_stride, params.col_stride, pt); in Compute() 223 int window_cols, int row_stride, int col_stride, \ 313 const int col_stride = stride_[2]; in Compute() local 328 GetWindowedOutputSize(in_cols, window_cols, col_stride, in Compute() 337 col_stride, pad_rows, pad_cols](int64 start, int64 limit) { in Compute() 357 GetBroadcastSize(c, in_cols, window_cols, col_stride, in Compute() 573 const int col_stride = stride_[2]; in Compute() local 588 GetWindowedOutputSize(in_cols, window_cols, col_stride, in Compute() 601 col_stride, // stride_w in Compute()
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D | conv_grad_input_ops.h | 114 int col_stride, const Padding& padding, in operator() 123 strides[input_w] = col_stride; in operator() 157 col_dilation, col_stride, padding, &expected_out_cols, &padding_left, in operator() 190 col_stride, row_stride, col_dilation, row_dilation); in operator() 197 col_stride, row_stride, col_dilation, row_dilation, padding_top, in operator() 209 int col_stride, const Padding& padding, 214 row_dilation, col_dilation, row_stride, col_stride, padding, 227 int col_stride, int pad_h, int pad_w, 240 int col_stride, int pad_h, int pad_w, 259 desc.v = col_stride;
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D | conv_ops.cc | 81 const Tensor& filter, int row_stride, int col_stride, in operator ()() 88 col_stride == 1 && (padding == SAME || padding == VALID)) { in operator ()() 127 input.tensor<T, 4>(), filter.tensor<T, 4>(), row_stride, col_stride, in operator ()() 135 input.tensor<T, 4>(), filter.tensor<T, 4>(), row_stride, col_stride, in operator ()() 147 int col_dilation, int row_stride, int col_stride, in operator ()() 173 LaunchGeneric<CPUDevice, T>()(ctx, input, filter, row_stride, col_stride, in operator ()() 184 int col_dilation, int row_stride, int col_stride, in operator ()() 212 ctx, input, filter, row_stride, col_stride, row_dilation, col_dilation, in operator ()() 649 int col_dilation, int row_stride, int col_stride, const Padding& padding, in operator ()() argument 680 col_stride == 1 && data_format == FORMAT_NHWC && in operator ()() [all …]
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D | conv_ops.h | 38 int col_dilation, int row_stride, int col_stride, 49 int col_dilation, int row_stride, int col_stride,
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D | conv_grad_filter_ops.cc | 111 int col_stride, const Padding& padding, in operator ()() 120 strides[GetTensorDimIndex(data_format, 'W')] = col_stride; in operator ()() 148 col_dilation, col_stride, padding, &expected_out_cols, &padding_left, in operator ()() 167 filter_backprop_t.dimension(0), col_stride, row_stride, col_dilation, in operator ()() 185 filter_backprop_t.dimension(0), col_stride, row_stride, col_dilation, in operator ()() 199 int col_stride, int pad_h, int pad_w, in operator ()() 211 int input_cols, int row_stride, int col_stride, int pad_h, in operator ()() 231 desc.v = col_stride; in operator ()() 653 int col_dilation, int row_stride, int col_stride, const Padding& padding, in operator ()() argument 666 strides[GetTensorDimIndex(data_format, 'W')] = col_stride; in operator ()() [all …]
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D | ops_util_test.cc | 40 int col_stride; member 81 pad_struct.input.col_stride, pad_struct.input.padding, &new_width, in VerifyGet2dOutputSizeBoundaries() 96 pad_struct.input.col_stride, pad_struct.input.padding, &new_width, in VerifyGet2dOutputSizeValues() 115 pad_struct.input.col_stride, pad_struct.input.padding, &new_width, in VerifyGet2dOutputVerboseSizeValues()
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D | eigen_backward_cuboid_convolutions.h | 93 const DenseIndex col_stride = 1) { 149 0, ((outputCols - 1) * col_stride + kernelColsEff - inputCols) / 2); 160 const TensorIndex padding_right = inputCols - (outputCols - 1) * col_stride - 283 plane_stride, row_stride, col_stride, padding_top_z, 291 plane_stride, row_stride, col_stride,
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/external/gemmlowp/internal/ |
D | output_neon.h | 391 int col_stride = dst->cols_stride(); 393 vst1q_s32(dst_ptr + i * col_stride + 0, src.buf.reg[2 * i + 0]); 394 vst1q_s32(dst_ptr + i * col_stride + 4, src.buf.reg[2 * i + 1]); 462 int col_stride = dst->cols_stride(); 464 vst1q_s32(dst_ptr + i * col_stride, src.buf.reg[2 * i]); 465 vst1q_s32(dst_ptr + i * col_stride + 4, src.buf.reg[2 * i + 1]); 536 int col_stride = dst->cols_stride(); 537 vst1q_lane_s32(dst_ptr + 0 * col_stride, src.buf.reg[0], 0); 538 vst1q_lane_s32(dst_ptr + 1 * col_stride, src.buf.reg[0], 1); 539 vst1q_lane_s32(dst_ptr + 2 * col_stride, src.buf.reg[0], 2); [all …]
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/external/tensorflow/tensorflow/compiler/xla/service/cpu/ |
D | runtime_single_threaded_conv2d.cc | 31 tensorflow::int64 col_stride, tensorflow::int64 padding_top, in __xla_cpu_runtime_EigenSingleThreadedConvF16() argument 39 kernel_filters, output_rows, output_cols, row_stride, col_stride, in __xla_cpu_runtime_EigenSingleThreadedConvF16() 52 tensorflow::int64 row_stride, tensorflow::int64 col_stride, in __xla_cpu_runtime_EigenSingleThreadedConvF32() argument 60 kernel_filters, output_rows, output_cols, row_stride, col_stride, in __xla_cpu_runtime_EigenSingleThreadedConvF32()
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D | runtime_conv2d.cc | 33 tensorflow::int64 row_stride, tensorflow::int64 col_stride, in __xla_cpu_runtime_EigenConvF32() argument 45 col_stride, padding_top, padding_bottom, padding_left, padding_right, in __xla_cpu_runtime_EigenConvF32() 57 tensorflow::int64 col_stride, tensorflow::int64 padding_top, in __xla_cpu_runtime_EigenConvF16() argument 69 col_stride, padding_top, padding_bottom, padding_left, padding_right, in __xla_cpu_runtime_EigenConvF16()
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D | runtime_conv2d_mkl.cc | 57 int64 col_stride, int64 padding_top, int64 padding_bottom, in MKLConvImpl() argument 75 memory::dims conv1_strides = {ToInt(row_stride), ToInt(col_stride)}; in MKLConvImpl() 159 int64 row_stride, int64 col_stride, int64 padding_top, int64 padding_bottom, in __xla_cpu_runtime_MKLConvF32() argument 169 kernel_filters, output_rows, output_cols, row_stride, col_stride, in __xla_cpu_runtime_MKLConvF32() 176 col_stride, padding_top, padding_bottom, padding_left, in __xla_cpu_runtime_MKLConvF32()
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D | runtime_conv2d.h | 32 tensorflow::int64 col_stride, tensorflow::int64 padding_top, 46 tensorflow::int64 row_stride, tensorflow::int64 col_stride,
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D | runtime_single_threaded_conv2d.h | 32 tensorflow::int64 row_stride, tensorflow::int64 col_stride, 46 tensorflow::int64 col_stride, tensorflow::int64 padding_top,
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D | runtime_conv2d_impl.h | 39 Eigen::Index col_stride, Eigen::Index padding_top, in EigenConvImpl() argument 81 .extract_image_patches(kernel_cols, kernel_rows, col_stride, in EigenConvImpl()
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/external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
D | eigen_spatial_convolutions.h | 96 const DenseIndex col_stride = 1, 149 static_cast<float>(col_stride)); 153 out_width = numext::ceil(InputCols / static_cast<float>(col_stride)); 215 .extract_image_patches(kernelRows, kernelCols, row_stride, col_stride,
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/external/mesa3d/src/mesa/drivers/dri/radeon/ |
D | radeon_maos_vbtmp.h | 47 GLuint tc0_stride, tc1_stride, col_stride, spec_stride, fog_stride; in TAG() local 127 col_stride = VB->AttribPtr[_TNL_ATTRIB_COLOR0]->stride; in TAG() 130 col_stride = 0; in TAG() 166 STRIDE_4F(col, start * col_stride); in TAG() 200 STRIDE_4F(col, col_stride); in TAG()
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/external/libopus/src/ |
D | mlp.c | 72 static void gemm_accum(float *out, const opus_int8 *weights, int rows, int cols, int col_stride, co… in gemm_accum() argument 78 out[i] += weights[j*col_stride + i]*x[j]; in gemm_accum()
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/external/ruy/ruy/ |
D | matrix.h | 197 int col_stride = layout.order() == Order::kRowMajor ? 1 : layout.stride(); in Offset() local 198 return row * row_stride + col * col_stride; in Offset()
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