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{ | |
"rules": { | |
"preset-ja-technical-writing": { | |
"sentence-length": false, | |
"max-comma": false, | |
"max-ten": false, | |
"arabic-kanji-numbers": false, | |
"ja-no-mixed-period": false, | |
"no-doubled-joshi": false, | |
"no-exclamation-question-mark": false, |
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diff --git a/environment-mac.yaml b/environment-mac.yaml | |
index d923d56..c8a0a8e 100644 | |
--- a/environment-mac.yaml | |
+++ b/environment-mac.yaml | |
@@ -3,14 +3,14 @@ channels: | |
- pytorch | |
- defaults | |
dependencies: | |
- - python=3.8.5 | |
- - pip=20.3 |
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--- functional.py_ 2022-08-23 17:07:29.000000000 +0900 | |
+++ functional.py 2022-08-23 17:07:31.000000000 +0900 | |
@@ -2506,9 +2506,9 @@ def layer_norm( | |
""" | |
if has_torch_function_variadic(input, weight, bias): | |
return handle_torch_function( | |
- layer_norm, (input, weight, bias), input, normalized_shape, weight=weight, bias=bias, eps=eps | |
+ layer_norm, (input.contiguous(), weight, bias), input, normalized_shape, weight=weight, bias=bias, eps=eps | |
) | |
- return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled) |
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