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Fix test for backprop d_pad
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@ -69,10 +69,20 @@ def test_PrecomputableAffine(nO=4, nI=5, nF=3, nP=2):
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Y, get_dX = model.begin_update(tensor)
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Y, get_dX = model.begin_update(tensor)
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assert Y.shape == (tensor.shape[0]+1, nF, nO, nP)
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assert Y.shape == (tensor.shape[0]+1, nF, nO, nP)
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assert model.d_pad.shape == (1, nF, nO, nP)
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assert model.d_pad.shape == (1, nF, nO, nP)
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dY = model.ops.allocate((15, nF, nO, nP))
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dY = model.ops.allocate((15, nO, nP))
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ids = model.ops.allocate((15, nF))
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ids = model.ops.allocate((15, nF))
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ids[1,2] = -1
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ids[1,2] = -1
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dY[1,2] = 1
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dY[1] = 1
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assert model.d_pad[0, 2, 0, 0] == 0.
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assert model.d_pad[0, 2, 0, 0] == 0.
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model._backprop_padding(dY, ids)
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model._backprop_padding(dY, ids)
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assert model.d_pad[0, 2, 0, 0] == 1.
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assert model.d_pad[0, 2, 0, 0] == 1.
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model.d_pad.fill(0.)
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ids.fill(0.)
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dY.fill(0.)
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ids[1,2] = -1
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ids[1,1] = -1
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ids[1,0] = -1
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dY[1] = 1
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assert model.d_pad[0, 2, 0, 0] == 0.
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model._backprop_padding(dY, ids)
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assert model.d_pad[0, 2, 0, 0] == 3.
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