tensor.utils
– Tensor Utils¶
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theano.tensor.utils.
hash_from_dict
(d)¶ Work around the fact that dict are not hashable in python
This request that all object have a sorted order that depend only on the value of the object. This is true for integer/float/string
We do not verify that the objects in the dict have this property.
Also, we transform values that are list into tuple as list are not hashable.
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theano.tensor.utils.
hash_from_ndarray
(data)¶ Return a hash from an ndarray
It takes care of the data, shapes, strides and dtype.
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theano.tensor.utils.
shape_of_variables
(fgraph, input_shapes)¶ Compute the numeric shape of all intermediate variables given input shapes
- Inputs:
- fgraph - the theano.FunctionGraph in question input_shapes - a dict mapping input to shape
- Outputs:
- shapes - a dict mapping variable to shape
WARNING : This modifies the fgraph. Not pure.
>>> import theano >>> x = theano.tensor.matrix('x') >>> y = x[512:]; y.name = 'y' >>> fgraph = theano.FunctionGraph([x], [y], clone=False) >>> shape_of_variables(fgraph, {x: (1024, 1024)}) {y: (512, 1024), x: (1024, 1024)}