InceptionV1 relu
See original GitHub issueHi,
I Think some of the relu activations on the InceptionV1 model (bninception.py) are just ignored, for example in line 299
inception_3b_relu_1x1_out = self.inception_3b_relu_1x1(inception_3b_1x1_bn_out)
the output ‘inception_3b_relu_1x1_out’, is never used again, and the input ‘inception_3b_1x1_bn_out’ is passed to the inception module concatenated output, see line 310.
inception_3b_output_out = torch.cat([inception_3b_1x1_bn_out,inception_3b_3x3_bn_out,inception_3b_double_3x3_2_bn_out,inception_3b_pool_proj_bn_out], 1)
Is this a bug or am I missing something?
Issue Analytics
- State:
- Created 5 years ago
- Comments:8 (3 by maintainers)
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Top GitHub Comments
@chufengt The pretrained model given in the code can work.
@fuankarion You are right. It is a big bug. I have fixed bninception.py.