We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Describe the bug Need support for AdaptiveAvgPool2d for MobilenetV2 model Torch link: https://pytorch.org/docs/stable/generated/torch.nn.AdaptiveAvgPool2d.html Torch AdaptiveAvgPool2d used in MobilenetV2: x = nn.functional.adaptive_avg_pool2d(input, (1, 1)) Model card: #13798
x = nn.functional.adaptive_avg_pool2d(input, (1, 1))
device: WH N150
The text was updated successfully, but these errors were encountered:
@keerthana-r-mcw pls add more description, what are the adaptive average pooling configurations from the model that we need support for. a
Please add the torch examples at least to the issue
Sorry, something went wrong.
Replaced with ttnn.global_avg_pool2d.
Replacing with ttnn.global_avg_pool2d results in low pcc, so reopening the issue.
mywoodstock
No branches or pull requests
Describe the bug
Need support for AdaptiveAvgPool2d for MobilenetV2 model
Torch link: https://pytorch.org/docs/stable/generated/torch.nn.AdaptiveAvgPool2d.html
Torch AdaptiveAvgPool2d used in MobilenetV2:
x = nn.functional.adaptive_avg_pool2d(input, (1, 1))
Model card: #13798
device: WH N150
The text was updated successfully, but these errors were encountered: