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pytensor
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7405d23e
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7405d23e
authored
1月 17, 2010
作者:
James Bergstra
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added printing.txt
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.. _libdoc_printing:
.. _libdoc_printing:
================================================================================
===============================================================
:mod:`printing` -- graph printing and symbolic print statement [doc TODO]
:mod:`printing` -- graph printing and symbolic print statement
================================================================================
===============================================================
.. module:: printing
:platform: Unix, Windows
:synopsis: provides the Print Op
.. moduleauthor:: LISA
Guide
======
Intermediate values in a computation cannot be printed in
the normal python way with the print statement, because Theano has no *statements*.
Instead there is the `Print` Op.
>>> x = T.dvector()
>>> hello_world_op = Print('hello world')
>>> printed_x = hello_world_op(x)
>>> f = function([x], printed_x)
>>> f([1,2,3])
>>> # output: "hello world __str__ = [ 1. 2. 3.]"
If you print more than one thing in a function like `f`, they will not
necessarily be printed in the order that you think. The order might even depend
on which graph optimizations are applied. Strictly speaking, the order of
printing is not completely defined by the interface --
the only hard rule is that if the input of some print output `a` is
ultimately used as an input to some other print input `b` (so that `b` depends on `a`),
then `a` will print before `b`.
Reference
==========
.. class:: Print(Op)
This identity-like Op has the side effect of printing a message followed by its inputs
when it runs. Default behaviour is to print the __str__ representation. Optionally, one
can pass a list of the input member functions to execute, or attributes to print.
.. method:: __init__(message="", attrs=("__str__",)
:type message: string
:param message: prepend this to the output
:type attrs: list of strings
:param attrs: list of input node attributes or member functions to print.
Functions are
identified through callable(), executed and their return value printed.
.. method:: __call__(x)
:type x: a :class:`Variable`
:param x: any symbolic variable
:returns: symbolic identity(x)
When you use the return-value from this function in a theano function,
running the function will print the value that `x` takes in the graph.
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