Change crop, flip, perm to in-place
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156011be5f
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@ -139,8 +139,8 @@ class FieldDataset(Dataset):
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if shift is not None:
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anchor[d] += torch.randint(int(shift), (1,))
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in_fields = crop(in_fields, anchor, self.crop, self.in_pad, self.size)
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tgt_fields = crop(tgt_fields, anchor * self.scale_factor,
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crop(in_fields, anchor, self.crop, self.in_pad, self.size)
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crop(tgt_fields, anchor * self.scale_factor,
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self.crop * self.scale_factor,
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self.tgt_pad,
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self.size * self.scale_factor)
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@ -158,11 +158,11 @@ class FieldDataset(Dataset):
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norm(x)
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if self.augment:
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in_fields, flip_axes = flip(in_fields, None, self.ndim)
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tgt_fields, flip_axes = flip(tgt_fields, flip_axes, self.ndim)
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flip_axes = flip(in_fields, None, self.ndim)
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flip_axes = flip(tgt_fields, flip_axes, self.ndim)
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in_fields, perm_axes = perm(in_fields, None, self.ndim)
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tgt_fields, perm_axes = perm(tgt_fields, perm_axes, self.ndim)
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perm_axes = perm(in_fields, None, self.ndim)
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perm_axes = perm(tgt_fields, perm_axes, self.ndim)
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if self.aug_add is not None:
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add_fac = add(in_fields, None, self.aug_add)
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@ -180,22 +180,22 @@ class FieldDataset(Dataset):
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def crop(fields, anchor, crop, pad, size):
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ndim = len(size)
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assert all(len(x) == ndim for x in [anchor, crop, pad, size]), 'inconsistent ndim'
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assert all(len(x) == ndim for x in [anchor, crop, pad]), 'ndim mismatch'
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new_fields = []
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for x in fields:
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ind = [slice(None)]
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for d, (a, c, (p0, p1), s) in enumerate(zip(anchor, crop, pad, size)):
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i = np.arange(a - p0, a + c + p1)
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i %= s
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i = i.reshape((-1,) + (1,) * (ndim - d - 1))
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ind.append(i)
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ind = tuple(ind)
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x = x[tuple(ind)]
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for i, x in enumerate(fields):
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x = x[ind]
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new_fields.append(x)
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fields[i] = x
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return new_fields
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return ind
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def flip(fields, axes, ndim):
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@ -205,17 +205,16 @@ def flip(fields, axes, ndim):
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axes = torch.randint(2, (ndim,), dtype=torch.bool)
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axes = torch.arange(ndim)[axes]
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new_fields = []
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for x in fields:
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for i, x in enumerate(fields):
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if x.shape[0] == ndim: # flip vector components
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x[axes] = - x[axes]
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shifted_axes = (1 + axes).tolist()
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x = torch.flip(x, shifted_axes)
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new_fields.append(x)
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fields[i] = x
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return new_fields, axes
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return axes
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def perm(fields, axes, ndim):
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@ -224,17 +223,16 @@ def perm(fields, axes, ndim):
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if axes is None:
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axes = torch.randperm(ndim)
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new_fields = []
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for x in fields:
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for i, x in enumerate(fields):
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if x.shape[0] == ndim: # permutate vector components
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x = x[axes]
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shifted_axes = [0] + (1 + axes).tolist()
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x = x.permute(shifted_axes)
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new_fields.append(x)
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fields[i] = x
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return new_fields, axes
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return axes
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def add(fields, fac, std):
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