chore: import upstream snapshot with attribution

This commit is contained in:
wehub-resource-sync
2026-07-13 13:30:25 +08:00
commit f19b2512d7
562 changed files with 38082 additions and 0 deletions
+33
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import numpy as np
from prml.nn.tensor.constant import Constant
from prml.nn.tensor.tensor import Tensor
class Function(object):
"""
Base class for differentiable functions
"""
def _convert2tensor(self, x):
if isinstance(x, (int, float, np.number, np.ndarray)):
x = Constant(x)
elif not isinstance(x, Tensor):
raise TypeError(
"Unsupported class for input: {}".format(type(x))
)
return x
def _equal_ndim(self, x, ndim):
if x.ndim != ndim:
raise ValueError(
"dimensionality of the input must be {}, not {}"
.format(ndim, x.ndim)
)
def _atleast_ndim(self, x, ndim):
if x.ndim < ndim:
raise ValueError(
"dimensionality of the input must be"
" larger or equal to {}, not {}"
.format(ndim, x.ndim)
)