Fix test errors with TensorFlow 2.7 #1315
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Codecov Report
@@ Coverage Diff @@
## devel #1315 +/- ##
==========================================
- Coverage 75.64% 75.62% -0.03%
==========================================
Files 86 91 +5
Lines 7484 7498 +14
==========================================
+ Hits 5661 5670 +9
- Misses 1823 1828 +5
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wanghan-iapcm
approved these changes
Nov 29, 2021
njzjz
added a commit
to njzjz/deepmd-kit
that referenced
this pull request
Sep 21, 2023
This PR updates all JSON files:
- convert `default_training_param` to v2 format
- format JSON files
- update `_comment` to `_commentN` to avoid duplicated keys
- enable `check-json` and `pretty-format-json` hooks
```py
import json
from glob import glob
from deepmd.utils.compat import update_deepmd_input, convert_input_v1_v2
for ii in glob("**/*.json", recursive=True):
with open(ii) as f:
content = f.read()
count = 1
while True:
if r'"_comment"' not in content:
break
content = content.replace('"_comment"', '"_comment%d"' % count, 1)
count += 1
try:
jdata = json.loads(content)
except Exception as e:
print(ii, e)
continue
if "default_training_param" in jdata:
jdata["default_training_param"] = update_deepmd_input(
jdata["default_training_param"], warning=False)
if "decay_rate" in jdata["default_training_param"]["learning_rate"]:
jdata["default_training_param"] = convert_input_v1_v2(
jdata["default_training_param"], warning=False)
if "load_ckpt" in jdata["default_training_param"]["training"]:
del jdata["default_training_param"]["training"]["load_ckpt"]
content = json.dumps(jdata, indent=2)
with open(ii, "w") as f:
f.write(content)
```
---------
Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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This PR fixes test errors with the new TensorFlow packages that I uploaded today.