MMdnn
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microsoft
Converting from tensorflow to pytorch
Platform (like ubuntu 16.04/win10): ubuntu 16.04
Python version: 3
Source framework with version (like Tensorflow 1.4.1 with GPU): Tensorflow 1.15.0
Destination framework with version (like CNTK 2.3 with GPU): Pytorch 1.6.0
Since the models under Tensorflow 1.11+ are saved as .meta, .index, .data, how can tf to IR step (https://github.com/Microsoft/MMdnn/issues/22) here be modified for this type of saved model format? Seems like .ckpt is used for TensorflowParser._load_weights but this is not available under this version.
Platform (like ubuntu 16.04/win10): ubuntu 16.04
Python version: 3
Source framework with version (like Tensorflow 1.4.1 with GPU): Tensorflow 1.15.0
Destination framework with version (like CNTK 2.3 with GPU): Pytorch 1.6.0
Since the models under Tensorflow 1.11+ are saved as .meta, .index, .data, how can tf to IR step (#22) here be modified for this type of saved model format? Seems like .ckpt is used for TensorflowParser._load_weights but this is not available under this version.
Hello,have you solved this problem?
No but the issue can be closed since I found a workaround.
On Wed, Oct 21, 2020 at 1:22 AM zzb112233 [email protected] wrote:
Platform (like ubuntu 16.04/win10): ubuntu 16.04
Python version: 3
Source framework with version (like Tensorflow 1.4.1 with GPU): Tensorflow 1.15.0
Destination framework with version (like CNTK 2.3 with GPU): Pytorch 1.6.0
Since the models under Tensorflow 1.11+ are saved as .meta, .index, .data, how can tf to IR step (#22 https://github.com/microsoft/MMdnn/issues/22) here be modified for this type of saved model format? Seems like .ckpt is used for TensorflowParser._load_weights but this is not available under this version.
Hello,have you solved this problem?
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No but the issue can be closed since I found a workaround. … can you share the workaround?
I just loaded the weights using the tf graph. Then I wrote a script to map those weights to a corresponding pytorch graph. You can do this by inspecting the tf graph via tensorboard.
On Thu, Oct 22, 2020 at 3:59 AM waleedrazakhan92 [email protected] wrote:
No but the issue can be closed since I found a workaround. … <#m_-8538388121266979976_> can you share the workaround?
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