8 examples of 'torch reshape' in Python

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417def _reshape(input, shape, shape_like=None):
418 if shape_like is not None: shape = shape_like.shape
419 dev = MakeDevice(inputs=[input]); ndim = len(shape)
420 key = 'Reshape/{}/ndim:{}'.format(dev, ndim)
421 module = get_module(Reshape, key, dev, ndim=ndim)
422 return module.forward(input, shape)
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409def reshape(input):
410 return torch.reshape(input, (1, 1, *shape))
10def reshape(self):
11 assert 0 <= self.axis < self.X.ndim
12 self.cshape = [1] * self.X.ndim
13 self.cshape[self.axis] = self.X.shape[self.axis]
14 self.valid_axes = tuple([i for i in range(self.X.ndim) if i != self.axis])
15
16 self.Y = np.zeros(self.X.shape)
17 # (1, C, 1, 1)
18 self.W = np.ones(self.cshape)
19 # (1, C, 1, 1)
20 self.b = np.zeros(self.cshape)
21 # Current Mean
22 self.moving_mean = np.zeros(self.cshape)
23 self.moving_var = np.ones(self.cshape)
43def forward(self, inputs):
44 x, = inputs
45 return x.reshape(self.shape),
272def _reshape_from_tensor(g, input, shape):
273 return g.op('Reshape', input, shape)
69def backward(self, grad):
70 return grad.reshape(self._x_shape)
271def reshape(self, x: BKTensor, newshape: Any) \
272 -> BKTensor:
273 return self.lib.reshape(x, newshape) # type: ignore
7def reshape(self):
8 self.Y = np.dot(self.X[0], self.X[1])

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