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Change one node type in Tensorflow graph
2019 Community Moderator ElectionTensorflow skewed cost functionTensorflow neural network TypeError: Fetch argument has invalid typeUsing tensorflow for any type of datasetCan TF turn a given graph into a recursive one?Connect output node to next hidden node in RNNHow to change learning rate of MomentumOptimizer in tensorflowWhat is one hot encoding in tensorflow?Why Tensorflow does NOT quit when CUDA_ERROR_OUT_OF_MEMORYIssue with Custom object detection using tensorflow when Training on a single type of objectHow general are the possible computations of a tensorflow Graph?
$begingroup$
So I have a tensorflow graph saved in a .pb file, it works well on my machine, but when I run it on tensorflow v 1.3 it loads fine though it crashes with the following error
InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'Reshape' with these attrs. Registered devices: [CPU], Registered kernels:
device='CPU'; Tshape in [DT_INT32]
device='GPU'; T in [DT_COMPLEX128]; Tshape in [DT_INT32]
device='GPU'; T in [DT_COMPLEX64]; Tshape in [DT_INT32]
device='GPU'; T in [DT_INT8]; Tshape in [DT_INT32]
device='GPU'; T in [DT_UINT8]; Tshape in [DT_INT32]
device='GPU'; T in [DT_INT16]; Tshape in [DT_INT32]
device='GPU'; T in [DT_UINT16]; Tshape in [DT_INT32]
device='GPU'; T in [DT_INT64]; Tshape in [DT_INT32]
device='GPU'; T in [DT_DOUBLE]; Tshape in [DT_INT32]
device='GPU'; T in [DT_FLOAT]; Tshape in [DT_INT32]
device='GPU'; T in [DT_HALF]; Tshape in [DT_INT32]
[[Node: Reshape_165 = Reshape[T=DT_FLOAT, Tshape=DT_INT64](transpose_145, add_31)]]
After investigating I found out that the Reshape_165 operation is of shape DT_INT64 and v1.3 doesn't supportDT_INT64 for Reshape as the message reads, so I was wondering if there's a way to change the Reshape_165 operation dtype to DT_INT32 mind you the whole graph gets executed but for this operation which is the one just before the outputs concat_52 and concat_53
add_31
Reshape_165
concat_52/axis
concat_52
concat_53/axis
concat_53
tensorflow
asked Mar 29 at 14:00
M090009M090009
1012
New contributor
M090009 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
So I have a tensorflow graph saved in a .pb file, it works well on my machine, but when I run it on tensorflow v 1.3 it loads fine though it crashes with the following error
InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'Reshape' with these attrs. Registered devices: [CPU], Registered kernels:
device='CPU'; Tshape in [DT_INT32]
device='GPU'; T in [DT_COMPLEX128]; Tshape in [DT_INT32]
device='GPU'; T in [DT_COMPLEX64]; Tshape in [DT_INT32]
device='GPU'; T in [DT_INT8]; Tshape in [DT_INT32]
device='GPU'; T in [DT_UINT8]; Tshape in [DT_INT32]
device='GPU'; T in [DT_INT16]; Tshape in [DT_INT32]
device='GPU'; T in [DT_UINT16]; Tshape in [DT_INT32]
device='GPU'; T in [DT_INT64]; Tshape in [DT_INT32]
device='GPU'; T in [DT_DOUBLE]; Tshape in [DT_INT32]
device='GPU'; T in [DT_FLOAT]; Tshape in [DT_INT32]
device='GPU'; T in [DT_HALF]; Tshape in [DT_INT32]
[[Node: Reshape_165 = Reshape[T=DT_FLOAT, Tshape=DT_INT64](transpose_145, add_31)]]
After investigating I found out that the Reshape_165 operation is of shape DT_INT64 and v1.3 doesn't supportDT_INT64 for Reshape as the message reads, so I was wondering if there's a way to change the Reshape_165 operation dtype to DT_INT32 mind you the whole graph gets executed but for this operation which is the one just before the outputs concat_52 and concat_53
add_31
Reshape_165
concat_52/axis
concat_52
concat_53/axis
concat_53
tensorflow
asked Mar 29 at 14:00
M090009M090009
1012
New contributor
M090009 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
$begingroup$
One hack is to export Graph as Json, edit it and load it back as protobuf. Does that work in this situation ? stackoverflow.com/questions/41575442/…
$endgroup$
– Shamit Verma
Mar 29 at 14:05
$begingroup$
Let me give it a try @ShamitVerma
$endgroup$
– M090009
Mar 29 at 14:21
$begingroup$
@ShamitVerma but about the weights?
$endgroup$
– M090009
Mar 29 at 14:25
$begingroup$
Weights should be included in Json version.
$endgroup$
– Shamit Verma
Mar 29 at 14:28
$begingroup$
I tried it out, but unfortunately it doesn’t work and throwscan’t convert int64 to int32
$endgroup$
– M090009
Mar 29 at 21:00
add a comment |
$begingroup$
So I have a tensorflow graph saved in a .pb file, it works well on my machine, but when I run it on tensorflow v 1.3 it loads fine though it crashes with the following error
InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'Reshape' with these attrs. Registered devices: [CPU], Registered kernels:
device='CPU'; Tshape in [DT_INT32]
device='GPU'; T in [DT_COMPLEX128]; Tshape in [DT_INT32]
device='GPU'; T in [DT_COMPLEX64]; Tshape in [DT_INT32]
device='GPU'; T in [DT_INT8]; Tshape in [DT_INT32]
device='GPU'; T in [DT_UINT8]; Tshape in [DT_INT32]
device='GPU'; T in [DT_INT16]; Tshape in [DT_INT32]
device='GPU'; T in [DT_UINT16]; Tshape in [DT_INT32]
device='GPU'; T in [DT_INT64]; Tshape in [DT_INT32]
device='GPU'; T in [DT_DOUBLE]; Tshape in [DT_INT32]
device='GPU'; T in [DT_FLOAT]; Tshape in [DT_INT32]
device='GPU'; T in [DT_HALF]; Tshape in [DT_INT32]
[[Node: Reshape_165 = Reshape[T=DT_FLOAT, Tshape=DT_INT64](transpose_145, add_31)]]
After investigating I found out that the Reshape_165 operation is of shape DT_INT64 and v1.3 doesn't supportDT_INT64 for Reshape as the message reads, so I was wondering if there's a way to change the Reshape_165 operation dtype to DT_INT32 mind you the whole graph gets executed but for this operation which is the one just before the outputs concat_52 and concat_53
add_31
Reshape_165
concat_52/axis
concat_52
concat_53/axis
concat_53
tensorflow
asked Mar 29 at 14:00
M090009M090009
1012
New contributor
M090009 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
So I have a tensorflow graph saved in a .pb file, it works well on my machine, but when I run it on tensorflow v 1.3 it loads fine though it crashes with the following error
InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'Reshape' with these attrs. Registered devices: [CPU], Registered kernels:
device='CPU'; Tshape in [DT_INT32]
device='GPU'; T in [DT_COMPLEX128]; Tshape in [DT_INT32]
device='GPU'; T in [DT_COMPLEX64]; Tshape in [DT_INT32]
device='GPU'; T in [DT_INT8]; Tshape in [DT_INT32]
device='GPU'; T in [DT_UINT8]; Tshape in [DT_INT32]
device='GPU'; T in [DT_INT16]; Tshape in [DT_INT32]
device='GPU'; T in [DT_UINT16]; Tshape in [DT_INT32]
device='GPU'; T in [DT_INT64]; Tshape in [DT_INT32]
device='GPU'; T in [DT_DOUBLE]; Tshape in [DT_INT32]
device='GPU'; T in [DT_FLOAT]; Tshape in [DT_INT32]
device='GPU'; T in [DT_HALF]; Tshape in [DT_INT32]
[[Node: Reshape_165 = Reshape[T=DT_FLOAT, Tshape=DT_INT64](transpose_145, add_31)]]
After investigating I found out that the Reshape_165 operation is of shape DT_INT64 and v1.3 doesn't supportDT_INT64 for Reshape as the message reads, so I was wondering if there's a way to change the Reshape_165 operation dtype to DT_INT32 mind you the whole graph gets executed but for this operation which is the one just before the outputs concat_52 and concat_53
add_31
Reshape_165
concat_52/axis
concat_52
concat_53/axis
concat_53
tensorflow
tensorflow
asked Mar 29 at 14:00
M090009M090009
1012
New contributor
M090009 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Mar 29 at 14:00
M090009M090009
1012
New contributor
M090009 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited Mar 29 at 14:22
M090009
asked Mar 29 at 14:00
M090009M090009
1012
New contributor
M090009 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Mar 29 at 14:00
M090009M090009
1012
asked Mar 29 at 14:00
M090009M090009
1012
1012
New contributor
M090009 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
M090009 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
M090009 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$begingroup$
One hack is to export Graph as Json, edit it and load it back as protobuf. Does that work in this situation ? stackoverflow.com/questions/41575442/…
$endgroup$
– Shamit Verma
Mar 29 at 14:05
$begingroup$
Let me give it a try @ShamitVerma
$endgroup$
– M090009
Mar 29 at 14:21
$begingroup$
@ShamitVerma but about the weights?
$endgroup$
– M090009
Mar 29 at 14:25
$begingroup$
Weights should be included in Json version.
$endgroup$
– Shamit Verma
Mar 29 at 14:28
$begingroup$
I tried it out, but unfortunately it doesn’t work and throwscan’t convert int64 to int32
$endgroup$
– M090009
Mar 29 at 21:00
add a comment |
$begingroup$
One hack is to export Graph as Json, edit it and load it back as protobuf. Does that work in this situation ? stackoverflow.com/questions/41575442/…
$endgroup$
– Shamit Verma
Mar 29 at 14:05
$begingroup$
Let me give it a try @ShamitVerma
$endgroup$
– M090009
Mar 29 at 14:21
$begingroup$
@ShamitVerma but about the weights?
$endgroup$
– M090009
Mar 29 at 14:25
$begingroup$
Weights should be included in Json version.
$endgroup$
– Shamit Verma
Mar 29 at 14:28
$begingroup$
I tried it out, but unfortunately it doesn’t work and throwscan’t convert int64 to int32
$endgroup$
– M090009
Mar 29 at 21:00
$begingroup$
One hack is to export Graph as Json, edit it and load it back as protobuf. Does that work in this situation ? stackoverflow.com/questions/41575442/…
$endgroup$
– Shamit Verma
Mar 29 at 14:05
$begingroup$
One hack is to export Graph as Json, edit it and load it back as protobuf. Does that work in this situation ? stackoverflow.com/questions/41575442/…
$endgroup$
– Shamit Verma
Mar 29 at 14:05
$begingroup$
Let me give it a try @ShamitVerma
$endgroup$
– M090009
Mar 29 at 14:21
$begingroup$
Let me give it a try @ShamitVerma
$endgroup$
– M090009
Mar 29 at 14:21
$begingroup$
@ShamitVerma but about the weights?
$endgroup$
– M090009
Mar 29 at 14:25
$begingroup$
@ShamitVerma but about the weights?
$endgroup$
– M090009
Mar 29 at 14:25
$begingroup$
Weights should be included in Json version.
$endgroup$
– Shamit Verma
Mar 29 at 14:28
$begingroup$
Weights should be included in Json version.
$endgroup$
– Shamit Verma
Mar 29 at 14:28
$begingroup$
I tried it out, but unfortunately it doesn’t work and throws
can’t convert int64 to int32$endgroup$
– M090009
Mar 29 at 21:00
$begingroup$
I tried it out, but unfortunately it doesn’t work and throws
can’t convert int64 to int32$endgroup$
– M090009
Mar 29 at 21:00
add a comment |
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active
oldest
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$begingroup$
One hack is to export Graph as Json, edit it and load it back as protobuf. Does that work in this situation ? stackoverflow.com/questions/41575442/…
$endgroup$
– Shamit Verma
Mar 29 at 14:05
$begingroup$
Let me give it a try @ShamitVerma
$endgroup$
– M090009
Mar 29 at 14:21
$begingroup$
@ShamitVerma but about the weights?
$endgroup$
– M090009
Mar 29 at 14:25
$begingroup$
Weights should be included in Json version.
$endgroup$
– Shamit Verma
Mar 29 at 14:28
$begingroup$
I tried it out, but unfortunately it doesn’t work and throws
can’t convert int64 to int32$endgroup$
– M090009
Mar 29 at 21:00