Files
2026-07-13 13:30:25 +08:00

29 lines
653 B
Python
Executable File

from prml.nn.tensor.constant import Constant
from prml.nn.tensor.tensor import Tensor
from prml.nn.function import Function
class Flatten(Function):
"""
flatten array
"""
def forward(self, x):
x = self._convert2tensor(x)
self._atleast_ndim(x, 2)
self.x = x
if isinstance(self.x, Constant):
return Constant(x.value.flatten())
return Tensor(x.value.flatten(), function=self)
def backward(self, delta):
dx = delta.reshape(*self.x.shape)
self.x.backward(dx)
def flatten(x):
"""
flatten N-dimensional array (N >= 2)
"""
return Flatten().forward(x)