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Searched refs:padding_needed (Results 1 – 7 of 7) sorted by relevance

/external/tensorflow/tensorflow/compiler/xla/client/lib/
Dconv_grad_size_util.cc45 const int64 padding_needed = in GetWindowedOutputSize() local
50 dim.pad_before = padding_needed / 2; in GetWindowedOutputSize()
51 dim.pad_after = padding_needed - dim.pad_before; in GetWindowedOutputSize()
/external/tensorflow/tensorflow/core/framework/
Dkernel_shape_util.cc47 const int64 padding_needed = in GetWindowedOutputSizeVerboseV2() local
52 *padding_before = padding_needed / 2; in GetWindowedOutputSizeVerboseV2()
53 *padding_after = padding_needed - *padding_before; in GetWindowedOutputSizeVerboseV2()
/external/tensorflow/tensorflow/compiler/xla/service/
Ddynamic_window_utils.cc118 HloOp padding_needed = Maximum( in GetWindowedOutputSize() local
121 HloOp padding_before = padding_needed / ConstantR0<int32>(comp, 2); in GetWindowedOutputSize()
/external/avb/
Davbtool.py2223 padding_needed = padded_size - len(vbmeta_blob)
2224 output.write(b'\0' * padding_needed)
2969 padding_needed = padded_size - len(vbmeta_blob)
2970 output.write(b'\0' * padding_needed)
3280 padding_needed = image.block_size - (image.image_size%image.block_size)
3281 image.truncate(image.image_size + padding_needed)
3288 padding_needed = (round_to_multiple(len(vbmeta_blob), image.block_size) -
3290 vbmeta_blob_with_padding = vbmeta_blob + b'\0' * padding_needed
3481 padding_needed = image.block_size - (
3483 image.truncate(image.image_size + padding_needed)
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Davbtool2223 padding_needed = padded_size - len(vbmeta_blob)
2224 output.write(b'\0' * padding_needed)
2969 padding_needed = padded_size - len(vbmeta_blob)
2970 output.write(b'\0' * padding_needed)
3280 padding_needed = image.block_size - (image.image_size%image.block_size)
3281 image.truncate(image.image_size + padding_needed)
3288 padding_needed = (round_to_multiple(len(vbmeta_blob), image.block_size) -
3290 vbmeta_blob_with_padding = vbmeta_blob + b'\0' * padding_needed
3481 padding_needed = image.block_size - (
3483 image.truncate(image.image_size + padding_needed)
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Daftltool1834 padding_needed = padded_size - total_image_size
1835 output.write('\0' * padding_needed)
Daftltool.py1834 padding_needed = padded_size - total_image_size
1835 output.write('\0' * padding_needed)