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TFJS converter unsupported Ops "BatchMatMul"

See original GitHub issue

Hello, I was trying to export a model from tf to tfjs, but I run into this error with tfjs 0.5.2:

Multensorflowjs_converter --input_format=tf_saved_model
 --output_node_names='frozen_graph/my_model/full_output'
 --saved_model_tags=serve 
./tests/model_freezing/model_pipe_frozen/a2018-07-24_13-49-43/
./tests/export_tfjs


> Unsupported Ops in the model
BatchMatMul

It seems the op that create this issue is this one: tf.matmul(point_batch, mat_batch) The model work just fine in python.

The node is created by a tf.Matmul, and this op is said to be handled by tfjs converter.

Issue Analytics

State:
Created 5 years ago
Comments:11 (3 by maintainers)

Top GitHub Comments

2reactions

annxingyuancommented, Aug 31, 2018

Hey all, wanted to give an update that in the next release of TFjs, matmul will behave the way it does in other Tensorflow languages: input matrices just need to have ranks of >= 2 with identical outer dimensions (item number 1 in the comment above). Thanks for bringing this to our attention!

2reactions

dsmilkovcommented, Aug 25, 2018

Great point @chrisdonahue . Will keep this issue to track two things

generalizing tf.matMul in tfjs-core
Wiring the BatchMatMul op in the tfjs-converter to call the generalized tf.matMul() in core.

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