提交 1f3b1f4e authored 作者: Pascal Lamblin's avatar Pascal Lamblin

Update NEWS.txt.

上级 da84e9f2
......@@ -10,6 +10,9 @@ Deprecation:
* Dividing integers with / is deprecated: use // for integer division, or
cast one of the integers to a float type if you want a float result (you may
also change this behavior with config.int_division).
* Removed (already deprecated) sandbox/compile module
* Removed (already deprecated) incsubtensor and setsubtensor functions,
inc_subtensor and set_subtensor are to be used instead.
Bugs fixed:
* Bugfix in CudaNdarray.__iadd__. When it is not implemented, return the error.
......@@ -24,11 +27,14 @@ Bugs fixed:
* The output of random samples computed with uniform(..., dtype=...) is
guaranteed to be of the specified dtype instead of potentially being of a
higher-precision dtype.
* The perform() method of DownsampleFactorMax did not give the right result
when reusing output storage.
* Python 2.4 syntax fixes.
Crash fixed:
* Work around a bug in gcc 4.3.0 that make the compilation of 2d convolution
crash.
* Some optimizations crashed when "ShapeOpt" was disabled.
Optimization:
* Optimize 4 pattern of subtensor followed by subtensor.
......@@ -52,6 +58,8 @@ New features:
* profile the scan overhead
* simple hook system to add profiler
* reordered the output to be in the order of more general to more specific
* DebugMode now checks Ops with different patterns of preallocated memory,
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.
......@@ -59,8 +67,8 @@ New features:
* cuda.root inferred if nvcc is on the path, otherwise defaults to
/usr/local/cuda
* Better graph printing for graphs involving a scan subgraph
* Casting behavior is closer to numpy by default, and can be controlled
through config.cast_policy.
* Casting behavior can be controlled through config.cast_policy,
new (experimental) mode.
* Smarter C module cache, avoiding erroneous usage of the wrong C
implementation when some options change, and avoiding recompiling the
same module multiple times in some situations.
......@@ -69,6 +77,10 @@ New features:
now available in the sandbox.
* CUDA devices 4 - 16 should now be available if present.
* infer_shape support for the View op, better infer_shape support in Scan
* tensor.grad now gives an error by default when computing the gradient
wrt a node that is disconnected from the cost (not in the graph, or
no continuous path from that op to the cost).
* New tensor.isnan and isinf functions.
Documentation:
* Better commenting of cuda_ndarray.cu
......@@ -93,5 +105,6 @@ Unit tests:
Other:
* Correctly put the broadcast flag to True in the output var of
a Reshape op when we receive an int 1 in the new shape.
* pydotprint: high contrast mode is now the default
* pydotprint: high contrast mode is now the default, option to print
more compact node names.
* More compact printing (ignore leading "Composite" in op names)
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