TypeError: Can not convert a LabImageRecordReader into a Tensor or Operation.

[youyingyin]

TypeError: Fetch argument <dataset.tfrecords.images.lab_image_record.LabImageRecordReader object at 0x0000000074CF3940> has invalid type <class 'dataset.tfrecords.images.lab_image_record.LabImageRecordReader'>, must be a string or Tensor. (Can not convert a LabImageRecordReader into a Tensor or Operation.)

i got this error when i ran train.py.

the solution is below@charleshamesse .check it out

[artemik]

I get the same error.

[matheusbarrosp]

I get the same error. [2]

[charleshamesse]

I fixed it by editing the training_pipeline's return statement in colorization.training_utils. Remove irr and read_batched_examples on line 50:

return {
        'global_step': global_step,
        'optimizer': optimizer,
        'cost': cost,
        'summary': summary
    } #, irr, read_batched_examples