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pytensor
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ec4c1888
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ec4c1888
authored
1月 15, 2010
作者:
Razvan Pascanu
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电子邮件补丁
差异文件
minor changes docs
上级
5cfb60ee
隐藏空白字符变更
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1 个修改的文件
包含
12 行增加
和
16 行删除
+12
-16
basic.txt
doc/library/tensor/basic.txt
+12
-16
没有找到文件。
doc/library/tensor/basic.txt
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ec4c1888
...
@@ -28,17 +28,18 @@ Where ``<dtype>`` is one of (note that this is not a complete list of
...
@@ -28,17 +28,18 @@ Where ``<dtype>`` is one of (note that this is not a complete list of
possible ``<dtypes>``, it just covers thouse used by the predefined
possible ``<dtypes>``, it just covers thouse used by the predefined
types):
types):
==== ========= ============== ================
==== ========== =============== =================
code type domain bits
code type domain bits
==== ========= ============== ================
==== ========== =============== =================
b byte signed integer 8
b byte signed integer 8
w word signed integer 16
w word signed integer 16
i integer signed integer 32
i integer signed integer 32
l long signed integer 64
l long signed integer 64
f float floating point 32
f float floating point 32
d double floating point 64
d double floating point 64
c complex64 complex 64 (two float32)
c complex64 complex 64 (two float32)
==== ========= ============== ================
z complex128 complex 128 (two float64)
==== ========== =============== =================
``<dimensionality>`` is one of:
``<dimensionality>`` is one of:
...
@@ -110,11 +111,6 @@ complex64 complex 64 (two float32)
...
@@ -110,11 +111,6 @@ complex64 complex 64 (two float32)
complex128 complex 128 (two float64)
complex128 complex 128 (two float64)
=========== ================ =================
=========== ================ =================
.. note::
Not that some `dtypes` are less used then others (for example
**complex128**) and as such not are equally tested and supported.
The broadcastable pattern indicates both the number of dimensions and
The broadcastable pattern indicates both the number of dimensions and
whether a particular dimension must have length 1.
whether a particular dimension must have length 1.
...
...
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