module 'tensorflow' has no attribute 'run'
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
304214
asked Nov 12 at 10:00
Ilse
217
add a comment |
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
304214
asked Nov 12 at 10:00
Ilse
217
add a comment |
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
304214
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
304214
asked Nov 12 at 10:00
Ilse
217
edited Nov 12 at 11:36
abunickabhi
304214
asked Nov 12 at 10:00
Ilse
217
edited Nov 12 at 11:36
abunickabhi
304214
edited Nov 12 at 11:36
abunickabhi
304214
edited Nov 12 at 11:36
abunickabhi
304214
304214
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
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 |
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 |
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53259746%2fmodule-tensorflow-has-no-attribute-run%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
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 |
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 |
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 |
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 |
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 |
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 |
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Some of your past answers have not been well-received, and you're in danger of being blocked from answering.
Please pay close attention to the following guidance:
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53259746%2fmodule-tensorflow-has-no-attribute-run%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
