chore: import upstream snapshot with attribution
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from prml.nn.tensor.constant import Constant
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from prml.nn.tensor.tensor import Tensor
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from prml.nn.function import Function
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class Reshape(Function):
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"""
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reshape array
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"""
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def forward(self, x, shape):
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x = self._convert2tensor(x)
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self._atleast_ndim(x, 1)
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self.x = x
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if isinstance(self.x, Constant):
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return Constant(x.value.reshape(*shape))
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return Tensor(x.value.reshape(*shape), function=self)
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def backward(self, delta):
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dx = delta.reshape(*self.x.shape)
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self.x.backward(dx)
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def reshape(x, shape):
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"""
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reshape N-dimensional array (N >= 1)
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"""
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return Reshape().forward(x, shape)
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def reshape_method(x, *args):
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return Reshape().forward(x, args)
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