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pytensor
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0c84c369
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0c84c369
authored
11月 22, 2010
作者:
gdesjardins
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0c84c369
...
...
@@ -7,17 +7,17 @@ started internally but it was never advertised as a release.
There have been so many changes since 0.1 that we have lost track of many of
them. Below is a *partial* list of changes since 0.1.
* GPU code using NVIDIA's CUDA framework is no
no
w generated for many Ops.
* GPU code using NVIDIA's CUDA framework is now generated for many Ops.
* Some interface changes since 0.1:
* A new "shared variable" system to allow reusing memory space between
Theano functions.
* A new memory contract has been formally written for Theano,
for people
that
want to minimize memory copies.
for people
who
want to minimize memory copies.
* The old module system has been deprecated.
* By default, inputs to a Theano function will not be silently
downcast (e.g. from float64 to float32).
downcast
ed
(e.g. from float64 to float32).
* An error is now raised when using the result of logical operation on
Theano variable in an 'if' (i.e. an implicit call to __nonzeros__)
Theano variable in an 'if' (i.e. an implicit call to __nonzeros__)
.
* An error is now raised when we receive a non-aligned ndarray as
input to a function (this is not supported).
* An error is raised when the list of dimensions passed to
...
...
@@ -31,7 +31,7 @@ them. Below is a *partial* list of changes since 0.1.
tensor to make it a scalar).
* Added support for "erf" and "erfc" functions.
* The current default value of the parameter axis of theano.{max,min,
argmax,argmin,max_and_argmax} is deprecated
, with the NumPy defaults
(operation over the entire tensor) instead
.
* Theano is now available from PyPI and installable
by
"easy_install" or
"pip"
tools
.
argmax,argmin,max_and_argmax} is deprecated
. We now use the default NumPy
behavior of operating on the entire tensor
.
* Theano is now available from PyPI and installable
through
"easy_install" or
"pip".
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