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tried:
python train_tf.py
--weightspath COVID-Net/COVIDNet-CXR4-A
--metaname model.meta
--ckptname model-18540
--n_classes 3
--trainfile COVID-Net/train_split_new.txt \ #this train file is produced during data preparation
--testfile COVID-Net/test_split_new.txt \ #this test file is produced during data preparation
--out_tensorname norm_dense_1/Softmax:0
--logit_tensorname norm_dense_1/MatMul:0
Expected behavior
KeyError: "The name 'keras_learning_phase:0' refers to a Tensor which does not exist. The operation, 'keras_learning_phase', does not exist in the graph."
Can anyone faced it? What is the reason? How do I solve it?
The text was updated successfully, but these errors were encountered:
installed library version:
tensorflow==1.15.0
cv==4.20
python==3.6.13
Description
Steps to Reproduce
tried:
python train_tf.py
--weightspath COVID-Net/COVIDNet-CXR4-A
--metaname model.meta
--ckptname model-18540
--n_classes 3
--trainfile COVID-Net/train_split_new.txt \ #this train file is produced during data preparation
--testfile COVID-Net/test_split_new.txt \ #this test file is produced during data preparation
--out_tensorname norm_dense_1/Softmax:0
--logit_tensorname norm_dense_1/MatMul:0
Expected behavior
KeyError: "The name 'keras_learning_phase:0' refers to a Tensor which does not exist. The operation, 'keras_learning_phase', does not exist in the graph."
Can anyone faced it? What is the reason? How do I solve it?
The text was updated successfully, but these errors were encountered: