module 'tensorflow' has no attribute 'run'
up vote
0
down vote
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Code:
import numpy as np
import tensorflow as tf
a3dim = np.array([[[1,2],[3,4]],
[[5,6],[7,8]]
])
print("a3dim Shape: ", a3dim.shape)
tf_t=tf.convert_to_tensor(a3dim,dtype=tf.float64)
print('tf_t : ',tf_t)
print('tf_t[0][0][0] : ',tf_t[0][0][0])
print('tf_t[1][1][1] : ',tf_t[1][1][1])
print('run(tf_t) : n', tf.run(tf_t))
When I run this program, I have the following error:
Error:
AttributeError Traceback (most recent call last)
<ipython-input-9-3506c45f6784> in <module>()
15 print('tf_t[1][1][1] : ',tf_t[1][1][1])
16
---> 17 print('run(tf_t) : n', tf.run(tf_t))
AttributeError: module 'tensorflow' has no attribute 'run'
How do I solve this tensorflow issue?
Is it a version problem?
tensorflow
edited Nov 12 at 11:36
abunickabhi
306214
asked Nov 12 at 10:00
Ilse
217
add a comment |
up vote
0
down vote
favorite
Code:
import numpy as np
import tensorflow as tf
a3dim = np.array([[[1,2],[3,4]],
[[5,6],[7,8]]
])
print("a3dim Shape: ", a3dim.shape)
tf_t=tf.convert_to_tensor(a3dim,dtype=tf.float64)
print('tf_t : ',tf_t)
print('tf_t[0][0][0] : ',tf_t[0][0][0])
print('tf_t[1][1][1] : ',tf_t[1][1][1])
print('run(tf_t) : n', tf.run(tf_t))
When I run this program, I have the following error:
Error:
AttributeError Traceback (most recent call last)
<ipython-input-9-3506c45f6784> in <module>()
15 print('tf_t[1][1][1] : ',tf_t[1][1][1])
16
---> 17 print('run(tf_t) : n', tf.run(tf_t))
AttributeError: module 'tensorflow' has no attribute 'run'
How do I solve this tensorflow issue?
Is it a version problem?
tensorflow
edited Nov 12 at 11:36
abunickabhi
306214
asked Nov 12 at 10:00
Ilse
217
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
Code:
import numpy as np
import tensorflow as tf
a3dim = np.array([[[1,2],[3,4]],
[[5,6],[7,8]]
])
print("a3dim Shape: ", a3dim.shape)
tf_t=tf.convert_to_tensor(a3dim,dtype=tf.float64)
print('tf_t : ',tf_t)
print('tf_t[0][0][0] : ',tf_t[0][0][0])
print('tf_t[1][1][1] : ',tf_t[1][1][1])
print('run(tf_t) : n', tf.run(tf_t))
When I run this program, I have the following error:
Error:
AttributeError Traceback (most recent call last)
<ipython-input-9-3506c45f6784> in <module>()
15 print('tf_t[1][1][1] : ',tf_t[1][1][1])
16
---> 17 print('run(tf_t) : n', tf.run(tf_t))
AttributeError: module 'tensorflow' has no attribute 'run'
How do I solve this tensorflow issue?
Is it a version problem?
tensorflow
edited Nov 12 at 11:36
abunickabhi
306214
asked Nov 12 at 10:00
Ilse
217
Code:
import numpy as np
import tensorflow as tf
a3dim = np.array([[[1,2],[3,4]],
[[5,6],[7,8]]
])
print("a3dim Shape: ", a3dim.shape)
tf_t=tf.convert_to_tensor(a3dim,dtype=tf.float64)
print('tf_t : ',tf_t)
print('tf_t[0][0][0] : ',tf_t[0][0][0])
print('tf_t[1][1][1] : ',tf_t[1][1][1])
print('run(tf_t) : n', tf.run(tf_t))
When I run this program, I have the following error:
Error:
AttributeError Traceback (most recent call last)
<ipython-input-9-3506c45f6784> in <module>()
15 print('tf_t[1][1][1] : ',tf_t[1][1][1])
16
---> 17 print('run(tf_t) : n', tf.run(tf_t))
AttributeError: module 'tensorflow' has no attribute 'run'
How do I solve this tensorflow issue?
Is it a version problem?
tensorflow
tensorflow
edited Nov 12 at 11:36
abunickabhi
306214
asked Nov 12 at 10:00
Ilse
217
edited Nov 12 at 11:36
abunickabhi
306214
asked Nov 12 at 10:00
Ilse
217
edited Nov 12 at 11:36
abunickabhi
306214
edited Nov 12 at 11:36
abunickabhi
306214
edited Nov 12 at 11:36
abunickabhi
306214
306214
asked Nov 12 at 10:00
Ilse
217
asked Nov 12 at 10:00
Ilse
217
asked Nov 12 at 10:00
Ilse
217
217
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
up vote
0
down vote
accepted
import numpy as np
import tensorflow as tf
a3dim = np.array([[[1,2],[3,4]],
[[5,6],[7,8]]
])
print("a3dim Shape: ", a3dim.shape)
tf_t=tf.convert_to_tensor(a3dim,dtype=tf.float64)
print('tf_t : ',tf_t)
print('tf_t[0][0][0] : ',tf_t[0][0][0])
print('tf_t[1][1][1] : ',tf_t[1][1][1])
sess=tf.Session()#create session
print('run(tf_t) : n', sess.run(tf_t))
sess.close()#close session
Tensorflow needs graph and Session to compute. The first step of the startup graph is to create a Session object. If there are no creation parameters, the Session builder will start the default graph. Session manages all resources of the TensorFlow program runtime. The Session needs to be closed after all calculations are completed to help the system recycle resources, otherwise the problem of resource leakage may occur.
answered Nov 12 at 11:45
myhaspldeep
16017
add a comment |
up vote
0
down vote
you have to first create a session to run tf_t then something like session.run(tf_t) would work.
answered Nov 12 at 10:40
D.negn
364
added with tf_t.Session() as tfs print('run(tf_t) : n', tfs.run(tf_t)) I have now as error: File "<ipython-input-34-19330f20e031>", line 17 with tf_t.Session() as tfs ^ SyntaxError: invalid syntax
– Ilse
Nov 12 at 11:54
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
accepted
import numpy as np
import tensorflow as tf
a3dim = np.array([[[1,2],[3,4]],
[[5,6],[7,8]]
])
print("a3dim Shape: ", a3dim.shape)
tf_t=tf.convert_to_tensor(a3dim,dtype=tf.float64)
print('tf_t : ',tf_t)
print('tf_t[0][0][0] : ',tf_t[0][0][0])
print('tf_t[1][1][1] : ',tf_t[1][1][1])
sess=tf.Session()#create session
print('run(tf_t) : n', sess.run(tf_t))
sess.close()#close session
Tensorflow needs graph and Session to compute. The first step of the startup graph is to create a Session object. If there are no creation parameters, the Session builder will start the default graph. Session manages all resources of the TensorFlow program runtime. The Session needs to be closed after all calculations are completed to help the system recycle resources, otherwise the problem of resource leakage may occur.
answered Nov 12 at 11:45
myhaspldeep
16017
add a comment |
up vote
0
down vote
accepted
import numpy as np
import tensorflow as tf
a3dim = np.array([[[1,2],[3,4]],
[[5,6],[7,8]]
])
print("a3dim Shape: ", a3dim.shape)
tf_t=tf.convert_to_tensor(a3dim,dtype=tf.float64)
print('tf_t : ',tf_t)
print('tf_t[0][0][0] : ',tf_t[0][0][0])
print('tf_t[1][1][1] : ',tf_t[1][1][1])
sess=tf.Session()#create session
print('run(tf_t) : n', sess.run(tf_t))
sess.close()#close session
Tensorflow needs graph and Session to compute. The first step of the startup graph is to create a Session object. If there are no creation parameters, the Session builder will start the default graph. Session manages all resources of the TensorFlow program runtime. The Session needs to be closed after all calculations are completed to help the system recycle resources, otherwise the problem of resource leakage may occur.
answered Nov 12 at 11:45
myhaspldeep
16017
add a comment |
up vote
0
down vote
accepted
up vote
0
down vote
accepted
import numpy as np
import tensorflow as tf
a3dim = np.array([[[1,2],[3,4]],
[[5,6],[7,8]]
])
print("a3dim Shape: ", a3dim.shape)
tf_t=tf.convert_to_tensor(a3dim,dtype=tf.float64)
print('tf_t : ',tf_t)
print('tf_t[0][0][0] : ',tf_t[0][0][0])
print('tf_t[1][1][1] : ',tf_t[1][1][1])
sess=tf.Session()#create session
print('run(tf_t) : n', sess.run(tf_t))
sess.close()#close session
Tensorflow needs graph and Session to compute. The first step of the startup graph is to create a Session object. If there are no creation parameters, the Session builder will start the default graph. Session manages all resources of the TensorFlow program runtime. The Session needs to be closed after all calculations are completed to help the system recycle resources, otherwise the problem of resource leakage may occur.
answered Nov 12 at 11:45
myhaspldeep
16017
import numpy as np
import tensorflow as tf
a3dim = np.array([[[1,2],[3,4]],
[[5,6],[7,8]]
])
print("a3dim Shape: ", a3dim.shape)
tf_t=tf.convert_to_tensor(a3dim,dtype=tf.float64)
print('tf_t : ',tf_t)
print('tf_t[0][0][0] : ',tf_t[0][0][0])
print('tf_t[1][1][1] : ',tf_t[1][1][1])
sess=tf.Session()#create session
print('run(tf_t) : n', sess.run(tf_t))
sess.close()#close session
Tensorflow needs graph and Session to compute. The first step of the startup graph is to create a Session object. If there are no creation parameters, the Session builder will start the default graph. Session manages all resources of the TensorFlow program runtime. The Session needs to be closed after all calculations are completed to help the system recycle resources, otherwise the problem of resource leakage may occur.
answered Nov 12 at 11:45
myhaspldeep
16017
answered Nov 12 at 11:45
myhaspldeep
16017
answered Nov 12 at 11:45
myhaspldeep
16017
answered Nov 12 at 11:45
myhaspldeep
16017
16017
add a comment |
add a comment |
up vote
0
down vote
you have to first create a session to run tf_t then something like session.run(tf_t) would work.
answered Nov 12 at 10:40
D.negn
364
added with tf_t.Session() as tfs print('run(tf_t) : n', tfs.run(tf_t)) I have now as error: File "<ipython-input-34-19330f20e031>", line 17 with tf_t.Session() as tfs ^ SyntaxError: invalid syntax
– Ilse
Nov 12 at 11:54
add a comment |
up vote
0
down vote
you have to first create a session to run tf_t then something like session.run(tf_t) would work.
answered Nov 12 at 10:40
D.negn
364
added with tf_t.Session() as tfs print('run(tf_t) : n', tfs.run(tf_t)) I have now as error: File "<ipython-input-34-19330f20e031>", line 17 with tf_t.Session() as tfs ^ SyntaxError: invalid syntax
– Ilse
Nov 12 at 11:54
add a comment |
up vote
0
down vote
up vote
0
down vote
you have to first create a session to run tf_t then something like session.run(tf_t) would work.
answered Nov 12 at 10:40
D.negn
364
you have to first create a session to run tf_t then something like session.run(tf_t) would work.
answered Nov 12 at 10:40
D.negn
364
answered Nov 12 at 10:40
D.negn
364
answered Nov 12 at 10:40
D.negn
364
answered Nov 12 at 10:40
D.negn
364
364
added with tf_t.Session() as tfs print('run(tf_t) : n', tfs.run(tf_t)) I have now as error: File "<ipython-input-34-19330f20e031>", line 17 with tf_t.Session() as tfs ^ SyntaxError: invalid syntax
– Ilse
Nov 12 at 11:54
add a comment |
added with tf_t.Session() as tfs print('run(tf_t) : n', tfs.run(tf_t)) I have now as error: File "<ipython-input-34-19330f20e031>", line 17 with tf_t.Session() as tfs ^ SyntaxError: invalid syntax
– Ilse
Nov 12 at 11:54
added with tf_t.Session() as tfs print('run(tf_t) : n', tfs.run(tf_t)) I have now as error: File "<ipython-input-34-19330f20e031>", line 17 with tf_t.Session() as tfs ^ SyntaxError: invalid syntax
– Ilse
Nov 12 at 11:54
added with tf_t.Session() as tfs print('run(tf_t) : n', tfs.run(tf_t)) I have now as error: File "<ipython-input-34-19330f20e031>", line 17 with tf_t.Session() as tfs ^ SyntaxError: invalid syntax
– Ilse
Nov 12 at 11:54
add a comment |
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