@@ -47,7 +47,7 @@ Interface Behavior Change (was deprecated and generated a warning since Theano 0
You can specify the output dtype with a new dtype parameter to sum.
The output dtype is the one using for the summation.
There is no warning in previous Theano version about this.
The consequence is that the sum is done in a dtype with more precession then before.
The consequence is that the sum is done in a dtype with more precision than before.
So the sum could be slower, but will be more resistent to overflow.
This new behavior is the same as numpy. (Olivier, Pascal)
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@@ -78,15 +78,15 @@ New deprecation (will be removed in Theano 0.6, warning generated if you use the
* tensor.shared() renamed to tensor._shared(). You probably want to call theano.shared() instead! (Olivier D.)
Scan fix:
* computing grad of a function of grad of scan(reported by ?, Razvan)
before : most of the time crash, but could be wrong value with bad number of dimensions(so a visible bug)
* computing grad of a function of grad of scan (reported by Justin Bayer, fix by Razvan)
before : most of the time crash, but could be wrong value with bad number of dimensions(so a visible bug)
now : do the right thing.
* gradient with respect to outputs using multiple taps(reported by Timothy, fix by Razvan)
* gradient with respect to outputs using multiple taps(reported by Timothy, fix by Razvan)
before : it used to return wrong values
now : do the right thing.
Note: The reported case of this bug was happening in conjunction with the
save optimization of scan that give run time errors. So if you didn't
manually disable the same memory optimization(number in the list4),
manually disable the same memory optimization(number in the list4),
you are fine if you didn't manually request multiple taps.
* Rop of gradient of scan (reported by Timothy and Justin Bayer, fix by Razvan)
before : compilation error when computing R-op
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@@ -97,7 +97,7 @@ Scan fix:
* Scan grad when the input of scan has sequences of different lengths. (Razvan, reported by Michael Forbes)
* Scan.infer_shape now works correctly when working with a condition for the number of loops.
In the past, it returned n_steps as the length, which is not always true. (Razvan)
* Scan.infer_shape crash fix. (Reported by ?, Razvan)
* Scan.infer_shape crash fix. (Razvan)
New features:
* AdvancedIncSubtensor grad defined and tested (Justin Bayer)
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@@ -128,17 +128,17 @@ New features:
* We also support the "theano_version" substitution.
* IntDiv c code (faster and allow this elemwise to be fused with other elemwise) (Pascal)
* Internal filter_variable mechanism in Type. (Pascal, Ian)
* Ifelse work on sparse.
* Make use of gpu shared variable more transparent with theano.function updates and givens parameter.
* Ifelse works on sparse.
* It makes use of gpu shared variable more transparent with theano.function updates and givens parameter.
* Added a_tensor.transpose(axes) axes is optional (James)
* theano.tensor.transpose(a_tensor, kwargs) We where ignoring kwargs, now it is used as the axes.
* a_CudaNdarray_object[*] = int, now work (Frederic)
* a_CudaNdarray_object[*] = int, now works (Frederic)
* tensor_variable.size (as numpy) computes the product of the shape elements. (Olivier)
* sparse_variable.size (as scipy) computes the number of stored values. (Olivier)
* sparse_variable[N, N] now works (Li Yao, Frederic)
* sparse_variable[M:N, O:P] now works (Li Yao, Frederic)
* Warning: M, N, O, and P should be Python int or scalar tensor variables,
in particular, None is not well-supported.
* sparse_variable[M:N, O:P] now works (Li Yao, Frederic, Pascal)
M, N, O, and P can be Python int or scalar tensor variables, None, or
omitted (sparse_variable[:, :M] or sparse_variable[:M, N:] work).
* tensor.tensordot can now be moved to GPU (Sander Dieleman,
Pascal, based on code from Tijmen Tieleman's gnumpy,
http://www.cs.toronto.edu/~tijmen/gnumpy.html)
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@@ -199,7 +199,13 @@ Crashes fixed:
* Fix runtime crash in gemm, dot22. FB
* Fix on 32bits computer: make sure all shape are int64.(Olivier)
* Fix to deque on python 2.4 (Olivier)
* Fix crash when not using c code(or using DebugMode)(not used by default) with numpy 1.6*. Numpy have a bug in the reduction code that make it crash. ufunc.reduce (Pascal)
* Fix crash when not using c code (or using DebugMode) (not used by
default) with numpy 1.6*. Numpy has a bug in the reduction code that
made it crash. (Pascal)
* Crashes of blas functions (Gemv on CPU; Ger, Gemv and Gemm on GPU)
when matrices had non-unit stride in both dimensions (CPU and GPU),
or when matrices had negative strides (GPU only). In those cases,
we are now making copies. (Pascal)
Known bugs:
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@@ -242,26 +248,30 @@ Documentation:
Others:
* Better error messages in many places. (Many people)
* PEP8 fixes. (Many people)
* Add a warning about numpy bug with subtensor with more then 2**32 elemenent(TODO, more explicit)
* Added Scalar.ndim=0 and ScalarSharedVariable.ndim=0 (simplify code)(Razvan)
* Add a warning about numpy bug when using advanced indexing on a
tensor with more than 2**32 elements (the resulting array is not
correctly filled and ends with zeros). (Pascal, reported by David WF)
* Added Scalar.ndim=0 and ScalarSharedVariable.ndim=0 (simplify code) (Razvan)
* New min_informative_str() function to print graph. (Ian)
* Fix catching of exception. (Sometimes we used to catch interrupts) (Frederic, David, Ian, Olivier)
* Better support for uft string. (David)
* Better support for utf string. (David)
* Fix pydotprint with a function compiled with a ProfileMode (Frederic)
* Was broken with change to the profiler.
* Warning when people have old cache entries. (Olivier)
* More tests for join on the GPU and CPU. (Frederic)
* Don't request to load the GPU module by default in scan module. (Razvan)
* Do not request to load the GPU module by default in scan module. (Razvan)
* Fixed some import problems. (Frederic and others)
* Filtering update. (James)
* On Windows, the default compiledir changed to be local to the computer/user and not transferred with roaming profile. (Sebastian Urban)
* On Windows, the default compiledir changed to be local to the
computer/user and not transferred with roaming profile. (Sebastian
Urban)
* New theano flag "on_shape_error". Defaults to "warn" (same as previous behavior):
it prints a warning when an error occurs when inferring the shape of some apply node.
The other accepted value is "raise" to raise an error when this happens. (Frederic)
* The buidbot now raises optimization/shape errors instead of just printing a warning. (Frederic)
* better pycuda tests (Frederic)
* check_blas.py now accept the shape and the number of iteration as parameter (Frederic)
* Fix opt warning when the opt ShapeOpt is disabled(enabled by default) (Frederic)
* Fix opt warning when the opt ShapeOpt is disabled(enabled by default) (Frederic)
* More internal verification on what each op.infer_shape return. (Frederic, James)
* Argmax dtype to int64 (Olivier)
* Improved docstring and basic tests for the Tile Op (David).
Benjamin J. McCann provides `installation documentation <http://www.benmccann.com/dev-blog/installing-cuda-and-theano/>`_ for Ubuntu 11.04 with CUDA 4.0 PPA.
Benjamin J. McCann provides `installation documentation
<http://www.benmccann.com/dev-blog/installing-cuda-and-theano/>`_ for
Ubuntu 11.04 with CUDA 4.0 PPA.
Gentoo
~~~~~~
Brian Vandenberg emailed `installation instructions on Gentoo <http://groups.google.com/d/msg/theano-dev/-8WCMn2FMR0/bJPasoZXaqoJ>`.
Brian Vandenberg emailed `installation instructions on Gentoo
