Searched refs:rows_in (Results 1 – 2 of 2) sorted by relevance
| /external/tensorflow/tensorflow/python/ops/ |
| D | array_grad.py | 735 batch_size, rows_in, cols_in, channels = [
752 rows_out = int(ceil(rows_in / stride_r))
754 pad_rows = ((rows_out - 1) * stride_r + ksize_r_eff - rows_in) // 2
758 rows_out = int(ceil((rows_in - ksize_r_eff + 1) / stride_r))
760 pad_rows = (rows_out - 1) * stride_r + ksize_r_eff - rows_in
784 if 0 <= r and r < rows_in and 0 <= c and c < cols_in])
786 sp_shape = (rows_in * cols_in, rows_out * cols_out * ksize_r * ksize_c)
794 grad_out = array_ops.reshape(jac, (rows_in, cols_in, batch_size, channels))
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| /external/webp/src/dec/ |
| D | vp8l_dec.c | 717 const uint32_t* rows_in = rows; in ApplyInverseTransforms() local
723 VP8LInverseTransform(transform, start_row, end_row, rows_in, rows_out); in ApplyInverseTransforms()
724 rows_in = rows_out; in ApplyInverseTransforms()
726 if (rows_in != rows_out) { in ApplyInverseTransforms()
728 memcpy(rows_out, rows_in, cache_pixs * sizeof(*rows_out)); in ApplyInverseTransforms()
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