fix dimensions error for mobilenetv1_KL_quant #26776
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
Thanks for your contribution! |
wojtuss
reviewed
Aug 28, 2020
sfraczek
force-pushed
the
mul-channelwise-quantization-dequantization
branch
from
1ee87b3
to
b05bfb3
Compare
fixes AssertionError: The size of weight scales vector (1000) does not match the number of output channels (1024) in the weights tensor fc7_weights. add mul test
sfraczek
force-pushed
the
mul-channelwise-quantization-dequantization
branch
from
b05bfb3
to
65f0ebc
Compare
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
PR types
Bug fixes
PR changes
Others
Describe
Fixed Error when running
test_quant2_int8_mobilenetv1_mkldnnwith the recievedmobilenetv1_KL_quant model.The error that was fixed was
AssertionError: The size of weight scales vector (1000) does not match the number of output channels (1024) in the weights tensor fc7_weights.The reason was that the weights in this mul operator did not require transposition as in previous cases.