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34 lines
1.0 KiB
Python
34 lines
1.0 KiB
Python
import os
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from . import custom, diffusers, timm, torchaudio, torchvision, transformers
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from .executor import run_fwd, run_fwd_bwd
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from .registry import model_zoo
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# We pick a subset of models for fast testing in order to reduce the total testing time
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COMMON_MODELS = [
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"custom_hanging_param_model",
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"custom_nested_model",
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"custom_repeated_computed_layers",
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"custom_simple_net",
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"diffusers_clip_text_model",
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"diffusers_auto_encoder_kl",
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"diffusers_unet2d_model",
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"timm_densenet",
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"timm_resnet",
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"timm_swin_transformer",
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"torchaudio_wav2vec2_base",
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"torchaudio_conformer",
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"transformers_bert_for_masked_lm",
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"transformers_bloom_for_causal_lm",
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"transformers_falcon_for_causal_lm",
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"transformers_chatglm_for_conditional_generation",
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"transformers_llama_for_casual_lm",
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"transformers_vit_for_masked_image_modeling",
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"transformers_mistral_for_casual_lm",
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]
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IS_FAST_TEST = os.environ.get("FAST_TEST", "0") == "1"
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__all__ = ["model_zoo", "run_fwd", "run_fwd_bwd", "COMMON_MODELS", "IS_FAST_TEST"]
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