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testgroup
pytensor
Commits
d10f323f
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d10f323f
authored
7月 05, 2011
作者:
Frederic Bastien
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Fix indentation.
上级
daa41df1
隐藏空白字符变更
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并排
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2 个修改的文件
包含
16 行增加
和
16 行删除
+16
-16
NEWS.txt
NEWS.txt
+8
-8
NEWS.txt
doc/NEWS.txt
+8
-8
没有找到文件。
NEWS.txt
浏览文件 @
d10f323f
...
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@@ -12,17 +12,17 @@ Change in output memory storage for Ops:
or allocated by a previous execution of the same Op.
Right now, here is the situation:
* For Python implementation (perform), what is inside output_storage
may have been allocated from outside the perform() function, for
instance by another node (e.g., Scan) or the Mode. If that was the
case, the memory can be assumed to be C-contiguous (for the moment).
* For C implementations (c_code), nothing has changed yet.
* For Python implementation (perform), what is inside output_storage
may have been allocated from outside the perform() function, for
instance by another node (e.g., Scan) or the Mode. If that was the
case, the memory can be assumed to be C-contiguous (for the moment).
* For C implementations (c_code), nothing has changed yet.
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
* 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
...
...
doc/NEWS.txt
浏览文件 @
d10f323f
...
...
@@ -12,17 +12,17 @@ Change in output memory storage for Ops:
or allocated by a previous execution of the same Op.
Right now, here is the situation:
* For Python implementation (perform), what is inside output_storage
may have been allocated from outside the perform() function, for
instance by another node (e.g., Scan) or the Mode. If that was the
case, the memory can be assumed to be C-contiguous (for the moment).
* For C implementations (c_code), nothing has changed yet.
* For Python implementation (perform), what is inside output_storage
may have been allocated from outside the perform() function, for
instance by another node (e.g., Scan) or the Mode. If that was the
case, the memory can be assumed to be C-contiguous (for the moment).
* For C implementations (c_code), nothing has changed yet.
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
* 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
...
...
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