6 examples of 'torch expand_dims' in Python

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101def expand_dims(self, a, axis=-1):
102 return self.xp.expand_dims(a, axis=axis)
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31def expand_dims(self, input, axis=None):
32 return np.expand_dims(input, axis=axis)
683def squeeze(self, dim=None):
684 """Return a tensor with all the dimensions of input of size 1 removed.
685
686 Parameters
687 ----------
688 dim : int, optional
689 The optional dim to remove.
690
691
692 Returns
693 -------
694 dragon.vm.torch.Tensor
695 The new tensor.
696
697 """
698 raise NotImplementedError('Refer torch.ops.tensor.squeeze')
77def unsqueeze3(X):
78 return X.unsqueeze(-1).unsqueeze(-1).unsqueeze(-1)
101def expand_input_dims_for_t2t(t, batched=False):
102 """Expands a plain input tensor for using it in a T2T graph.
103
104 Args:
105 t: Tensor
106 batched: Whether to expand on the left side
107
108 Returns:
109 Tensor `t` expanded by 1 dimension on the left and two dimensions
110 on the right.
111 """
112 if not batched:
113 t = tf.expand_dims(t, 0) # Because of batch_size
114 t = tf.expand_dims(t, -1) # Because of modality
115 t = tf.expand_dims(t, -1) # Because of random reason X
116 return t
174def expand_tile_dims(x, depth, axis=1):
175 """Expand and Tile x on axis by depth"""
176 x = tf.expand_dims(x, axis=axis)
177 tile_dims = [1] * x.shape.ndims
178 tile_dims[axis] = depth
179
180 return tf.tile(x, tile_dims)

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