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Code Issues Projects Releases Wiki Activity

2020-10-19 21:08:55

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2020-10-19 21:08:55 +08:00
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@@ -6,13 +6,13 @@
In [1]:
```
```py
import theano
import theano.tensor as T
```
```
```py
Using gpu device 1: Tesla C2075 (CNMeM is disabled)
```
@@ -23,7 +23,7 @@ Using gpu device 1: Tesla C2075 (CNMeM is disabled)
In [2]:
```
```py
x = T.fmatrix()
print type(x)
@@ -31,7 +31,7 @@ print type(T.fmatrix)
```
```
```py
<class 'theano.tensor.var.TensorVariable'>
<class 'theano.tensor.type.TensorType'>
@@ -43,7 +43,7 @@ print type(T.fmatrix)
In [3]:
```
```py
x = T.scalar('myvar', dtype='int32')
x = T.iscalar('myvar')
x = T.TensorType(dtype='int32', broadcastable=())('myvar')
@@ -93,7 +93,7 @@ x = T.TensorType(dtype='int32', broadcastable=())('myvar')
In [4]:
```
```py
dtensor5 = T.TensorType('float64', (False,)*5)
x = dtensor5()
@@ -108,12 +108,12 @@ x = dtensor5()
In [5]:
```
```py
print x.ndim
```
```
```py
5
```
@@ -124,12 +124,12 @@ print x.ndim
In [6]:
```
```py
print x.type
```
```
```py
TensorType(float64, 5D)
```
@@ -140,12 +140,12 @@ TensorType(float64, 5D)
In [7]:
```
```py
print x.dtype
```
```
```py
float64
```
@@ -156,7 +156,7 @@ float64
In [8]:
```
```py
shape = T.ivector("shape")
y = x.reshape(shape, ndim=3)
@@ -167,12 +167,12 @@ y = x.reshape(shape, ndim=3)
In [9]:
```
```py
print x.ndim, y.ndim
```
```
```py
5 3
```
@@ -197,7 +197,7 @@ print x.ndim, y.ndim
In [10]:
```
```py
z = y.dimshuffle(("x", 1, 2, 0))
print z
@@ -205,7 +205,7 @@ print z.ndim
```
```
```py
DimShuffle{x,1,2,0}.0
4
@@ -217,14 +217,14 @@ DimShuffle{x,1,2,0}.0
In [11]:
```
```py
z = x.flatten(ndim=2)
print z.ndim
```
```
```py
2
```
@@ -241,12 +241,12 @@ print z.ndim
In [12]:
```
```py
print filter(lambda t: t.isalpha(), dir(x))
```
```
```py
['T', 'all', 'any', 'arccos', 'arccosh', 'arcsin', 'arcsinh', 'arctan', 'arctanh', 'argmax', 'argmin', 'argsort', 'astype', 'broadcastable', 'ceil', 'choose', 'clip', 'clone', 'compress', 'conj', 'conjugate', 'copy', 'cos', 'cosh', 'cumprod', 'cumsum', 'diagonal', 'dimshuffle', 'dot', 'dtype', 'eval', 'exp', 'fill', 'flatten', 'floor', 'imag', 'index', 'log', 'max', 'mean', 'min', 'name', 'ndim', 'nonzero', 'norm', 'owner', 'prod', 'ptp', 'ravel', 'real', 'repeat', 'reshape', 'round', 'shape', 'sin', 'sinh', 'size', 'sort', 'sqrt', 'squeeze', 'std', 'sum', 'swapaxes', 'tag', 'take', 'tan', 'tanh', 'trace', 'transpose', 'trunc', 'type', 'var']
```
@@ -261,12 +261,12 @@ print filter(lambda t: t.isalpha(), dir(x))
In [13]:
```
```py
print T.shape(x)
```
```
```py
Shape.0
```
@@ -277,7 +277,7 @@ Shape.0
In [14]:
```
```py
x = T.tensor3()
print T.shape_padleft(x)
@@ -285,7 +285,7 @@ print T.shape_padright(x)
```
```
```py
DimShuffle{x,0,1,2}.0
DimShuffle{0,1,2,x}.0
@@ -297,14 +297,14 @@ DimShuffle{0,1,2,x}.0
In [15]:
```
```py
print T.shape_padaxis(x, 1)
print T.shape_padaxis(x, 0)
print T.shape_padaxis(x, -1)
```
```
```py
DimShuffle{0,x,1,2}.0
DimShuffle{x,0,1,2}.0
DimShuffle{0,1,2,x}.0