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Hi,
I follow up the installation instructions and test_train tutorial. I used the pre-trained model and did not train a new one.
when running the following command
../bin/basenji_test.py --ai 0,1,2 -o output/heart_test --rc --shifts "1,0,-1" models/params_small.json models/heart/model_best.h5 heart_l131k
I get error
Total params: 111,011 (433.64 KB) Trainable params: 109,235 (426.70 KB) Non-trainable params: 1,776 (6.94 KB) None Traceback (most recent call last): File "/project/6014832/pouria81/basenji/tutorials/../bin/basenji_test.py", line 433, in main() File "/project/6014832/pouria81/basenji/tutorials/../bin/basenji_test.py", line 143, in main seqnn_model = seqnn.SeqNN(params_model) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/project/6014832/pouria81/basenji/basenji/seqnn.py", line 35, in init self.build_model() File "/project/6014832/pouria81/basenji/basenji/seqnn.py", line 190, in build_model stride_factor = layer.input_shape[1] / layer.output_shape[1]
The text was updated successfully, but these errors were encountered:
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Hi,
I follow up the installation instructions and test_train tutorial.
I used the pre-trained model and did not train a new one.
when running the following command
../bin/basenji_test.py --ai 0,1,2 -o output/heart_test --rc --shifts "1,0,-1" models/params_small.json models/heart/model_best.h5 heart_l131k
I get error
Total params: 111,011 (433.64 KB)
Trainable params: 109,235 (426.70 KB)
Non-trainable params: 1,776 (6.94 KB)
None
Traceback (most recent call last):
File "/project/6014832/pouria81/basenji/tutorials/../bin/basenji_test.py", line 433, in
main()
File "/project/6014832/pouria81/basenji/tutorials/../bin/basenji_test.py", line 143, in main
seqnn_model = seqnn.SeqNN(params_model)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/project/6014832/pouria81/basenji/basenji/seqnn.py", line 35, in init
self.build_model()
File "/project/6014832/pouria81/basenji/basenji/seqnn.py", line 190, in build_model
stride_factor = layer.input_shape[1] / layer.output_shape[1]
The text was updated successfully, but these errors were encountered: