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I followed the readme.md tutorial.
Done the fine tuning.
It created \checkpoint\run1\ directory.
But when I run the 2nd part (standalone generate, from same dir I ran fine tuning from) it fails:
import gpt_2_simple as gpt2
sess = gpt2.start_tf_sess()
gpt2.load_gpt2(sess)
gpt2.generate(sess)
λ python generate.py
checkpoint_path checkpoint\run1
ckpt None
2022-05-24 10:59:28.937419: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled
Loading checkpoint None
Traceback (most recent call last):
File "generate.py", line 8, in <module>
gpt2.load_gpt2(sess)
File "C:\Python37\lib\site-packages\gpt_2_simple\gpt_2.py", line 410, in load_gpt2
saver.restore(sess, ckpt)
File "C:\Python37\lib\site-packages\tensorflow\python\training\saver.py", line 1405, in restore
raise ValueError("Can't load save_path when it is None.")
ValueError: Can't load save_path when it is None.
if I specify checkpoint:
gpt2.load_gpt2(sess, checkpoint='run1')
checkpoint_path checkpoint\run1
ckpt checkpoint\run1\run1
ValueError: The passed save_path is not a valid checkpoint: checkpoint\run1\run1
So I guess it expects an empty string:
Detected at node 'save/RestoreV2' defined at (most recent call last):
File "generate.py", line 8, in <module>
gpt2.load_gpt2(sess, checkpoint='')
File "C:\Python37\lib\site-packages\gpt_2_simple\gpt_2.py", line 403, in load_gpt2
saver = tf.compat.v1.train.Saver(allow_empty=True)
Node: 'save/RestoreV2'
Unable to open table file checkpoint\run1\: NOT_FOUND: NewRandomAccessFile failed to Create/Open: checkpoint\run1\ : The system cannot find the path specified.
; No such process
[[{{node save/RestoreV2}}]]
So it defensively fails out of the box.
It did seem to generate some sample text during the fine tuning, but not in standalone generation.
The text was updated successfully, but these errors were encountered:
I followed the readme.md tutorial.
Done the fine tuning.
It created \checkpoint\run1\ directory.
But when I run the 2nd part (standalone generate, from same dir I ran fine tuning from) it fails:
if I specify checkpoint:
So I guess it expects an empty string:
So it defensively fails out of the box.
It did seem to generate some sample text during the fine tuning, but not in standalone generation.
The text was updated successfully, but these errors were encountered: