identity hop shape fix #59
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| @@ -113,7 +113,7 @@ def residual_block(l, increase_dim=False, projection=False): | |||
| block = NonlinearityLayer(ElemwiseSumLayer([stack_2, projection]),nonlinearity=rectify) | |||
| else: | |||
| # identity shortcut, as option A in paper | |||
| identity = ExpressionLayer(l, lambda X: X[:, :, ::2, ::2], lambda s: (s[0], s[1], s[2]//2, s[3]//2)) | |||
| identity = ExpressionLayer(l, lambda X: X[:, :, ::2, ::2], lambda s: (s[0], s[1], int(math.ceil(float(s[2])/2)), int(math.ceil(float(s[3])/2)))) | |||
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math was never imported, though. What about a simpler int((s[2] + 0.5) // 2)?
Or int(np.ceil(s[2] * 0.5))?
| @@ -113,7 +113,7 @@ def residual_block(l, increase_dim=False, projection=False): | |||
| block = NonlinearityLayer(ElemwiseSumLayer([stack_2, projection]),nonlinearity=rectify) | |||
| else: | |||
| # identity shortcut, as option A in paper | |||
| identity = ExpressionLayer(l, lambda X: X[:, :, ::2, ::2], lambda s: (s[0], s[1], s[2]//2, s[3]//2)) | |||
| identity = ExpressionLayer(l, lambda X: X[:, :, ::2, ::2], lambda s: (s[0], s[1], int((s[2] + 0.5) // 2), int((s[3] + 0.5) // 2))) | |||
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Wait, it should have been (s[2]+1)//2. This rounds up and doesn't need an int conversion either. Adding +.5 before the division was wrong, it should have been after the division as in int(s[2]/2. + .5), sorry.
|
Perfect, thanks. Can you squash this into a single commit? |
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Shape division was rounded down, but when the dimension is odd it should be rounded up