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Hi, In BatchNormalization, there should be four parameters(moving_mean, moving_var, beta, gamma), as far as I know .
but in https://github.com/facebookresearch/pycls/blob/master/pycls/models/blocks.py#L76, here only add two parameters.
def norm2d_cx(cx, w_in): """Accumulates complexity of norm2d into cx = (h, w, flops, params, acts).""" h, w, flops, params, acts = cx["h"], cx["w"], cx["flops"], cx["params"], cx["acts"] params += 2 * w_in return {"h": h, "w": w, "flops": flops, "params": params, "acts": acts}
Are there any other considerations?
The text was updated successfully, but these errors were encountered:
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Hi, In BatchNormalization, there should be four parameters(moving_mean, moving_var, beta, gamma), as far as I know .
but in https://github.com/facebookresearch/pycls/blob/master/pycls/models/blocks.py#L76, here only add two parameters.
Are there any other considerations?
The text was updated successfully, but these errors were encountered: