2020-10-19 21:08:55

docs/da/131.md

@@ -4,13 +4,13 @@
 
 In [1]:
 
-```
+```py
 import theano
 from theano import tensor as T
 
 ```
 
-```
+```py
 Using gpu device 1: Tesla C2075 (CNMeM is disabled)
 
 ```
@@ -19,7 +19,7 @@ Using gpu device 1: Tesla C2075 (CNMeM is disabled)
 
 In [2]:
 
-```
+```py
 # 两个整形三维张量
 
 a, b = T.itensor3("a"), T.itensor3("b")
@@ -30,7 +30,7 @@ a, b = T.itensor3("a"), T.itensor3("b")
 
 In [3]:
 
-```
+```py
 print theano.pp(a + 3)      # T.add(a, 3) -> itensor3
 print theano.pp(3 - a)      # T.sub(3, a)
 print theano.pp(a * 3.5)    # T.mul(a, 3.5) -> ftensor3 or dtensor3 (depending on casting)
@@ -41,7 +41,7 @@ print theano.pp(b % a)      # T.mod(b, a)
 
 ```
 
-```
+```py
 (a + TensorConstant{3})
 (TensorConstant{3} - a)
 (a * TensorConstant{3.5})
@@ -56,7 +56,7 @@ mod(b, a)
 
 In [4]:
 
-```
+```py
 print theano.pp(a & b)      # T.and_(a,b)    bitwise and (alias T.bitwise_and)
 print theano.pp(a ^ 1)      # T.xor(a,1)     bitwise xor (alias T.bitwise_xor)
 print theano.pp(a | b)      # T.or_(a,b)     bitwise or (alias T.bitwise_or)
@@ -64,7 +64,7 @@ print theano.pp(~a)         # T.invert(a)    bitwise invert (alias T.bitwise_not
 
 ```
 
-```
+```py
 and_(a, b)
 xor(a, TensorConstant{1})
 or_(a, b)
@@ -84,7 +84,7 @@ invert(a)
 
 In [5]:
 
-```
+```py
 x = T.matrix()
 x_as_int = T.cast(x, 'int32')
 
@@ -94,13 +94,13 @@ x_as_int = T.cast(x, 'int32')
 
 In [6]:
 
-```
+```py
 print x_as_int is x
 print T.cast(x, theano.config.floatX) is x
 
 ```
 
-```
+```py
 False
 True
 
@@ -128,14 +128,14 @@ True
 
 In [7]:
 
-```
+```py
 x, y = T.dmatrices('x','y')
 
 print theano.pp(T.le(x, y))
 
 ```
 
-```
+```py
 le(x, y)
 
 ```
@@ -159,7 +159,7 @@ le(x, y)
 
 In [8]:
 
-```
+```py
 a, b = T.matrices("a", "b")
 
 print theano.pp(T.maximum(a, b))  # max(a, b)
@@ -192,7 +192,7 @@ print theano.pp(T.psi(a))      # digamma(a)
 
 ```
 
-```
+```py
 maximum(a, b)
 minimum(a, b)
 (-a)
@@ -240,7 +240,7 @@ $$ \operatorname{erf}(x) = \frac{2}{\sqrt\pi} \int_0^x e^{-t^2} dt $$$$ \begin{a
 
 In [9]:
 
-```
+```py
 import numpy as np
 
 a = np.random.random((2,3,4))
@@ -272,7 +272,7 @@ print c.shape
 
 ```
 
-```
+```py
 (2, 3, 4) (5, 6, 4, 3)
 (2, 5, 6)