提交 c14d99ea authored 作者: Pascal Lamblin's avatar Pascal Lamblin

Fix syntax.

上级 4d5baddf
......@@ -20,9 +20,11 @@ Change in output memory storage for Ops:
In a future version, the content of the output storage, both for Python and C
versions, will either be NULL, or have the following guarantees:
* It will be a Python object of the appropriate Type (for a Tensor variable,
a numpy.ndarray, for a GPU variable, a CudaNdarray, for instance)
* It will have the correct number of dimensions, and correct dtype
However, its shape and memory layout (strides) will not be guaranteed.
When that change is made, the config flag DebugMode.check_preallocated_output
......@@ -64,8 +66,10 @@ Optimization:
GPU:
* Move to the gpu fused elemwise that have other dtype then float32 in them
(except float64) if the input and output are float32.
* This allow to move elemwise comparisons to the GPU if we cast it to
float32 after that.
* Implemented CudaNdarray.ndim to have the same interface in ndarray.
* Fixed slowdown caused by multiple chained views on CudaNdarray objects
* CudaNdarray_alloc_contiguous changed so as to never try to free
......@@ -83,10 +87,12 @@ New features:
configured by config.DebugMode.check_preallocated_output.
* var[vector of index] now work, (grad work recursively, the direct grad
work inplace, gpu work)
* limitation: work only of the outer most dimensions.
* New way to test the graph as we build it. Allow to easily find the source
of shape mismatch error:
`http://deeplearning.net/software/theano/tutorial/debug_faq.html#interactive-debugger`__
`<http://deeplearning.net/software/theano/tutorial/debug_faq.html#interactive-debugger>`__
* cuda.root inferred if nvcc is on the path, otherwise defaults to
/usr/local/cuda
* Better graph printing for graphs involving a scan subgraph
......
Markdown 格式
0%
您添加了 0 到此讨论。请谨慎行事。
请先完成此评论的编辑!
注册 或者 后发表评论