/external/tensorflow/tensorflow/core/kernels/neon/ |
D | neon_depthwise_conv_op.cc | 90 int64 out_rows = 0, out_cols = 0, pad_rows = 0, pad_cols = 0; in Compute() local 96 padding_, &out_cols, &pad_cols)); in Compute() 114 << ", pad_cols = " << pad_cols << ", output: [" << batch << ", " in Compute() 137 bias_neon_dims, stride, pad_cols, pad_rows, depth_multiplier, in Compute()
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/external/tensorflow/tensorflow/core/kernels/ |
D | depthwise_conv_grad_op.cc | 115 int64 out_rows = 0, out_cols = 0, pad_rows = 0, pad_cols = 0; \ 121 padding_, &out_cols, &pad_cols)); \ 142 args.pad_cols = pad_cols; \ 150 << ", pad_rows = " << pad_rows << ", pad_cols = " << pad_cols \ 191 const int64 pad_cols = args.pad_cols; in CopyOutputBackpropRegion() local 200 static_cast<int64>(0), (in_c - filter_cols + pad_cols + stride) / stride); in CopyOutputBackpropRegion() 201 const int64 out_c_end = std::min(out_cols - 1, (in_c + pad_cols) / stride); in CopyOutputBackpropRegion() 219 const int64 f_c = in_c + pad_cols - out_c * stride; in CopyOutputBackpropRegion() 483 (in_c - args.filter_cols + args.pad_cols + stride) / stride); in DepthwiseConvBackpropInputReference() 485 std::min(args.out_cols - 1, (in_c + args.pad_cols) / stride); in DepthwiseConvBackpropInputReference() [all …]
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D | pooling_ops_common.h | 69 int64 pad_cols; member 201 const int32 pad_cols = params.pad_cols; in SpatialMaxPool() local 224 const int32 wpad = w + pad_cols; in SpatialMaxPool() 277 params.pad_rows, params.pad_cols, 448 const int32 pad_cols = params.pad_cols; 471 const int32 wpad = w + pad_cols; 560 const int wpad = w + params.pad_cols;
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D | deep_conv2d.h | 76 int pad_cols; member 91 pad_cols(0), in Conv2DArgs()
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D | avgpooling_op.cc | 286 int64 out_height, out_width, pad_rows, pad_cols; in Compute() local 292 padding_, &out_width, &pad_cols)); in Compute() 300 col_stride, pad_rows, pad_cols](int64 start, int64 limit) { in Compute() 321 pad_cols, &cindex, &csize)); in Compute() 526 int64 out_height, out_width, pad_rows, pad_cols; in Compute() local 532 padding_, &out_width, &pad_cols)); in Compute() 546 pad_cols, // pad_l in Compute()
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D | conv_ops_3d.cc | 224 int64 pad_planes = 0, pad_rows = 0, pad_cols = 0; in launch() local 234 pad_cols = std::max<int64>( in launch() 297 const bool cols_odd = (pad_cols % 2 != 0); in launch() 348 CHECK(pad_rows >= 0 && pad_cols >= 0 && pad_planes >= 0) in launch() 349 << "Negative paddings: (" << pad_rows << ", " << pad_cols << ", " in launch() 378 .set_zero_padding(DimIndex::X, pad_cols / 2) in launch() 426 {{pad_planes, pad_rows, pad_cols}}, in launch()
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D | ops_util_test.cc | 71 int64 new_height, new_width, pad_rows, pad_cols; in VerifyGet2dOutputSizeBoundaries() local 80 &pad_cols); in VerifyGet2dOutputSizeBoundaries() 86 int64 new_height, new_width, pad_rows, pad_cols; in VerifyGet2dOutputSizeValues() local 95 &pad_cols); in VerifyGet2dOutputSizeValues() 100 EXPECT_EQ(pad_struct.output.pad_left, pad_cols); in VerifyGet2dOutputSizeValues()
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D | depthwise_conv_op.cc | 348 int64 out_rows = 0, out_cols = 0, pad_rows = 0, pad_cols = 0; in Compute() local 354 padding_, &out_cols, &pad_cols)); in Compute() 383 << ", pad_rows = " << pad_rows << ", pad_cols = " << pad_cols in Compute() 422 args.pad_cols = pad_cols; in Compute()
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D | depthwise_conv_op.h | 36 int pad_cols; member 53 pad_cols(0), in DepthwiseArgs() 222 const int64 in_c_start = out_c * args.stride - args.pad_cols;
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D | extract_image_patches_op.cc | 87 int64 pad_rows = 0, pad_cols = 0; in Compute() local 93 padding_, &out_cols, &pad_cols)); in Compute()
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D | extract_volume_patches_op.cc | 110 int64 pad_planes = 0, pad_rows = 0, pad_cols = 0; in Compute() local 119 padding_, &out_cols, &pad_cols)); in Compute()
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D | depthwise_conv_op_gpu.h | 49 args.pad_rows < args.filter_rows && args.pad_cols >= 0 && in CanLaunchDepthwiseConv2dGPUSmall() 50 args.pad_cols < args.filter_cols && in CanLaunchDepthwiseConv2dGPUSmall() 62 args.pad_rows < args.filter_rows && args.pad_cols >= 0 && in CanLaunchDepthwiseConv2dBackpropFilterGPUSmall() 63 args.pad_cols < args.filter_cols && block_height <= args.in_rows && in CanLaunchDepthwiseConv2dBackpropFilterGPUSmall() 89 const int pad_width = args.pad_cols; in DepthwiseConv2dGPUKernelNHWC() 193 const int pad_width = args.pad_cols; in DepthwiseConv2dGPUKernelNHWCSmall() 329 const int pad_width = args.pad_cols; in DepthwiseConv2dGPUKernelNCHW() 477 const int pad_width = args.pad_cols; in DepthwiseConv2dGPUKernelNCHWSmall() 831 const int pad_width = args.pad_cols; 901 const int pad_width = args.pad_cols; [all …]
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D | conv_ops.cc | 157 int filter_cols, int pad_rows, int pad_cols, int out_rows, in Run() argument 173 int filter_cols, int pad_rows, int pad_cols, int out_rows, in Run() argument 192 args.pad_cols = pad_cols; in Run() 214 int filter_cols, int pad_rows, int pad_cols, int out_rows, in Run() argument 228 int filter_cols, int pad_rows, int pad_cols, int out_rows, in Run() argument 246 desc.pad_w = pad_cols; in Run()
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D | pooling_ops_common.cc | 87 padding, &out_width, &pad_cols)); in PoolParameters() 235 .set_horizontal_padding(params.pad_cols) in Compute() 383 .set_horizontal_padding(params.pad_cols) in Compute()
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D | pooling_ops_3d.h | 72 int64 pad_cols; member
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D | maxpooling_op.cc | 107 const int32 pad_cols = params.pad_cols; in SpatialMaxPoolWithArgMaxHelper() local 133 const int wpad = w + pad_cols; in SpatialMaxPoolWithArgMaxHelper() 342 params.pad_cols, out_backprop.flat<T>().data(), output->flat<T>().data(), in MaxPoolingBackwardCustomKernel() 587 const int32 pad_cols = params.pad_cols; in SpatialMaxPoolGradGrad() local 611 int w_start = pw * col_stride - pad_cols; in SpatialMaxPoolGradGrad() 734 params.col_stride, params.pad_rows, params.pad_cols, in Compute() 1307 params.row_stride, params.col_stride, params.pad_rows, params.pad_cols, in launch() 1326 params.row_stride, params.col_stride, params.pad_rows, params.pad_cols, in launch()
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D | pooling_ops_3d.cc | 92 padding, &out_width, &pad_cols)); in Pool3dParameters() 584 const int32 pad_cols = params.pad_cols; in launch() local 615 int w_start = pw * col_stride - pad_cols; in launch() 815 params.pad_planes, params.pad_rows, params.pad_cols, in launch()
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D | nn_ops_test.cc | 126 int64 out_rows = 0, out_cols = 0, pad_rows = 0, pad_cols = 0; in BM_ConvFloat() local 130 &out_cols, &pad_cols)); in BM_ConvFloat() 520 int64 out_rows = 0, out_cols = 0, pad_rows = 0, pad_cols = 0; in BM_ConvFloatDepthwise() local 524 &out_cols, &pad_cols)); in BM_ConvFloatDepthwise() 918 int64 out_height, out_width, pad_rows, pad_cols; in BM_AvgPoolBk() local 922 &out_width, &pad_cols)); in BM_AvgPoolBk() 1106 int64 out_height, out_width, pad_rows, pad_cols; in BM_MaxPoolBk() local 1110 &out_width, &pad_cols)); in BM_MaxPoolBk()
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D | conv_ops_using_gemm.cc | 520 int64 out_rows = 0, out_cols = 0, pad_rows = 0, pad_cols = 0; in Compute() local 526 padding_, &out_cols, &pad_cols)); in Compute()
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D | quantized_conv_ops.cc | 540 int64 out_rows = 0, out_cols = 0, pad_rows = 0, pad_cols = 0; in Compute() local 546 padding_, &out_cols, &pad_cols)); in Compute()
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D | conv_ops_fused_image_transform.cc | 825 int64 out_rows = 0, out_cols = 0, pad_rows = 0, pad_cols = 0; in Compute() local 831 padding_, &out_cols, &pad_cols)); in Compute()
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D | deep_conv2d.cc | 797 args.pad_cols - sc * tile_stride_cols; in operator ()() 1111 const int64 col_pad = args.pad_cols; in operator ()()
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D | mkl_conv_ops.cc | 525 int64 out_rows = 0, out_cols = 0, pad_rows = 0, pad_cols = 0; in Compute() local 531 padding_, &out_cols, &pad_cols)); in Compute() 574 mkl_context.input_offset[0] = static_cast<int>(-pad_cols); in Compute()
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D | pooling_ops_3d_sycl.h | 84 pad_cols_(params.pad_cols) {} in SYCL3DPoolParams()
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/external/tensorflow/tensorflow/contrib/fused_conv/kernels/ |
D | fused_conv2d_bias_activation_op.cc | 211 int64 output_rows = 0, output_cols = 0, pad_rows = 0, pad_cols = 0; in Compute() local 217 &output_cols, &pad_cols)); in Compute()
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