| /external/zlib/src/contrib/inflate86/ |
| D | inffast.S | 315 #define in_r %esi macro
319 movl in(%esp), in_r
321 cmpl in_r, %ecx
325 subl in_r, %ecx /* ecx = avail_in */
333 leal buf(%esp), in_r /* in = buf */
334 movl in_r, last(%esp) /* last = in, do just one iteration */
339 testl $3, in_r
342 movb (in_r), %al
343 incl in_r
431 cmpl in_r, last(%esp)
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| /external/libxcam/cl_kernel/ |
| D | kernel_defog_dcp.cl | 92 float8 in_r[2], in_g[2], in_b[2];
96 …in_r[0] = convert_float8(as_uchar8(convert_ushort4(read_imageui(input_r, sampler, (int2)(pos_x, po…
97 …in_r[1] = convert_float8(as_uchar8(convert_ushort4(read_imageui(input_r, sampler, (int2)(pos_x, po…
112 in_r[0] = (max_r + (in_r[0] - max_r) / transmit_map[0]) * gain;
113 in_r[1] = (max_r + (in_r[1] - max_r) / transmit_map[1]) * gain;
119 out_data = 0.299f * in_r[0] + 0.587f * in_g[0] + 0.114f * in_b[0];
122 out_data = 0.299f * in_r[1] + 0.587f * in_g[1] + 0.114f * in_b[1];
127 r = (in_r[0].even + in_r[0].odd + in_r[1].even + in_r[1].odd) * 0.25f;
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | depthwise_conv_grad_op.cc | 182 const int64 in_r, const int64 in_c, in CopyOutputBackpropRegion() argument
197 static_cast<int64>(0), (in_r - filter_rows + pad_rows + stride) / stride); in CopyOutputBackpropRegion()
198 const int64 out_r_end = std::min(out_rows - 1, (in_r + pad_rows) / stride); in CopyOutputBackpropRegion()
217 const int64 f_r = in_r + pad_rows - out_r * stride; in CopyOutputBackpropRegion()
278 const int64 in_r, const int64 in_c, in ComputeBackpropInput() argument
294 const int64 base_output_index = (in_r * args.in_cols + in_c) * in_depth; in ComputeBackpropInput()
435 for (int64 in_r = 0; in_r < args.in_rows; ++in_r) { in operator ()() local
439 args, padded_filter_inner_dim_size, in_r, in_c, in operator ()()
443 ComputeBackpropInput<T>(args, padded_filter_inner_dim_size, in_r, in operator ()()
466 for (int in_r = 0; in_r < args.in_rows; ++in_r) { in DepthwiseConvBackpropInputReference() local
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| D | deep_conv2d.cc | 647 const int64 in_r = in_r_start + r; in operator ()() local
648 if (in_r < 0 || in_r >= args.in_rows) continue; in operator ()()
654 auto* in = input + (in_r * args.in_cols + in_c) * args.in_depth; in operator ()()
707 const int64 in_r = in_r_start; in operator ()() local
711 CopyInputTile<T>()(args, transform, num_tiles, in_r, in_c, input, in operator ()()
747 const int64 num_tiles, const int64 in_r, const int64 in_c, in operator ()()
792 in_r + args.pad_rows - sr * tile_stride_rows; in operator ()()
881 const Conv2DState<T>& cs, const int64 in_r, const int64 in_c, in operator ()()
886 TransformInputTiles<T>()(args, transform, num_tiles, in_r, in_c, input, in operator ()()
913 TransformOutputTile<T>()(args, transform, num_tiles, in_r, in_c, in operator ()()
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| D | depthwise_conv_op.h | 225 const int64 in_r = in_r_start + f_r;
230 if (in_r >= 0 && in_r < args.in_rows && in_c >= 0 &&
232 auto* in = input + (in_r * args.in_cols + in_c) * args.in_depth;
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| D | fractional_avg_pool_op.cc | 299 for (int64 in_r = in_row_start; in_r <= in_row_end; ++in_r) { in Compute() local
301 const int64 in_index = (b * in_rows + in_r) * in_cols + in_c; in Compute()
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| D | eigen_pooling_test.cc | 421 const int in_r = r + j - dr; in TEST() local
423 if (in_p >= 0 && in_p < input_planes && in_r >= 0 && in TEST()
424 in_r < input_rows && in_c >= 0 && in_c < input_cols) { in TEST()
425 expected_sum += input(d, in_p, in_r, in_c, b); in TEST()
499 const int in_r = r + j - dr; in TEST() local
501 if (in_p >= 0 && in_p < input_planes && in_r >= 0 && in TEST()
502 in_r < input_rows && in_c >= 0 && in_c < input_cols) { in TEST()
503 expected_sum += input(b, in_c, in_r, in_p, d); in TEST()
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| D | eigen_spatial_convolutions_test.cc | 1191 const int in_r = r - dr + j * stride; in TEST() local
1193 if (in_p >= 0 && in_r >= 0 && in_c >= 0 && in_p < in_depth && in TEST()
1194 in_r < in_rows && in_c < in_cols) { in TEST()
1196 input(id, in_p, in_r, in_c) * kernel(od, id, p, r, c); in TEST()
1262 const int in_r = r - dr + j * stride; in TEST() local
1264 if (in_p >= 0 && in_r >= 0 && in_c >= 0 && in_p < in_depth && in TEST()
1265 in_r < in_rows && in_c < in_cols) { in TEST()
1267 input(in_c, in_r, in_p, id) * kernel(c, r, p, id, od); in TEST()
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