Searched refs:rows_out (Results 1 – 2 of 2) sorted by relevance
| /external/tensorflow/tensorflow/python/ops/ |
| D | array_grad.py | 742 _, rows_out, cols_out, _ = [dim.value for dim in op.outputs[0].get_shape()]
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
767 grad, (batch_size, rows_out, cols_out, ksize_r, ksize_c, channels)),
771 row_steps = range(0, rows_out * stride_r, stride_r)
775 for i in range(rows_out):
786 sp_shape = (rows_in * cols_in, rows_out * cols_out * ksize_r * ksize_c)
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| /external/webp/src/dec/ |
| D | vp8l_dec.c | 718 uint32_t* const rows_out = dec->argb_cache_; 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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