[torchbench] Add meta function for _cudnn_rnn_flatten_weight#145488
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[torchbench] Add meta function for _cudnn_rnn_flatten_weight#145488IvanKobzarev wants to merge 3 commits intogh/IvanKobzarev/97/basefrom
IvanKobzarev wants to merge 3 commits intogh/IvanKobzarev/97/basefrom
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#144989 This fixes tts_angular model on torchbench for `--export-aot-inductor` I put meta function in cpp, as shape calculation requires cudnn API calls. I've extracted shape calculation to be used in implementation as this logic has some non-trivial actions and comments. ``` └─ $ python benchmarks/dynamo/torchbench.py --only tts_angular --accuracy --no-translation-validation --inference --bfloat16 --export-aot-inductor --disable-cudagraphs --device cuda loading model: 0it [00:00, ?it/s]WARNING:common:Model tts_angular does not support bfloat16, running with amp instead loading model: 0it [00:01, ?it/s] WARNING:common:Model tts_angular does not support bfloat16, running with amp instead cuda eval tts_angular WARNING:common:Model tts_angular does not support bfloat16, running with amp instead pass ``` [ghstack-poisoned]
eqy
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Jan 23, 2025
#144989 This fixes tts_angular model on torchbench for `--export-aot-inductor` I put meta function in cpp, as shape calculation requires cudnn API calls. I've extracted shape calculation to be used in implementation as this logic has some non-trivial actions and comments. ``` └─ $ python benchmarks/dynamo/torchbench.py --only tts_angular --accuracy --no-translation-validation --inference --bfloat16 --export-aot-inductor --disable-cudagraphs --device cuda loading model: 0it [00:00, ?it/s]WARNING:common:Model tts_angular does not support bfloat16, running with amp instead loading model: 0it [00:01, ?it/s] WARNING:common:Model tts_angular does not support bfloat16, running with amp instead cuda eval tts_angular WARNING:common:Model tts_angular does not support bfloat16, running with amp instead pass ``` [ghstack-poisoned]
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zou3519
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…#145488) pytorch#144989 This fixes tts_angular model on torchbench for `--export-aot-inductor` I put meta function in cpp, as shape calculation requires cudnn API calls. I've extracted shape calculation to be used in implementation as this logic has some non-trivial actions and comments. ``` └─ $ python benchmarks/dynamo/torchbench.py --only tts_angular --accuracy --no-translation-validation --inference --bfloat16 --export-aot-inductor --disable-cudagraphs --device cuda loading model: 0it [00:00, ?it/s]WARNING:common:Model tts_angular does not support bfloat16, running with amp instead loading model: 0it [00:01, ?it/s] WARNING:common:Model tts_angular does not support bfloat16, running with amp instead cuda eval tts_angular WARNING:common:Model tts_angular does not support bfloat16, running with amp instead pass ``` Pull Request resolved: pytorch#145488 Approved by: https://github.com/eqy, https://github.com/zou3519
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#144989
This fixes tts_angular model on torchbench for
--export-aot-inductorI put meta function in cpp, as shape calculation requires cudnn API calls.
I've extracted shape calculation to be used in implementation as this logic has some non-trivial actions and comments.