[NPU]Custom fusion operator unification #8431
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Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## develop #8431 +/- ##
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- Coverage 55.43% 55.42% -0.01%
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Files 616 617 +1
Lines 96243 96281 +38
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+ Hits 53348 53366 +18
- Misses 42895 42915 +20 ☔ View full report in Codecov by Sentry. |
ZHUI
reviewed
May 14, 2024
paddlenlp/transformers/fusion_ops.py
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| flash_attention = None | ||
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| def fusion_rope(query_states, key_states, value_states, hidden_states, position_ids, past_key_value, rotary_emb): |
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fusion_rope、fusion_flash_attention这种太长了就不建议去抽取了
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已经将paddlenlp/transformers/fusion_ops.py 移动到paddlenlp/transformers/llama/fusion_ops.py
ZHUI
approved these changes
May 14, 2024
| @@ -81,14 +80,16 @@ def swiglu(x, y=None): | |||
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| try: | |||
| if get_env_device() == "npu": | |||
| from paddle.base import core | |||
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| for lib in os.listdir(os.getenv("CUSTOM_DEVICE_ROOT")): | |||
| if lib.endswith(".so"): | |||
| paddle.utils.cpp_extension.extension_utils.load_op_meta_info_and_register_op(lib) | |||
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Custom fusion operator unification