[chore] update torch version to 2.9 (#12969)
Co-authored-by: Baizhou Zhang <sobereddiezhang@gmail.com>
This commit is contained in:
@@ -62,10 +62,10 @@ dependencies = [
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"tiktoken",
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"timm==1.0.16",
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"torch_memory_saver==0.0.9",
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"torch==2.8.0",
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"torch==2.9.1",
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"torchcodec==0.7.0 ; sys_platform != 'linux' or (sys_platform == 'linux' and platform_machine != 'aarch64' and platform_machine != 'arm64' and platform_machine != 'armv7l')", # torchcodec does not exist in those systems. If not provided, transformer will use torchvision instead by default.
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"av ; sys_platform == 'linux' and (platform_machine == 'aarch64' or platform_machine == 'arm64' and platform_machine == 'armv7l')",
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"torchaudio==2.8.0",
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"torchaudio==2.9.1",
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"torchvision",
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"torchao==0.9.0",
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"tqdm",
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@@ -243,20 +243,18 @@ ONE_GPU_CASES_A: list[DiffusionTestCase] = [
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),
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),
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# === Text and Image to Image (TI2I) ===
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DiffusionTestCase(
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"qwen_image_edit_ti2i",
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DiffusionServerArgs(
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model_path="Qwen/Qwen-Image-Edit",
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warmup_text=0,
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warmup_edit=1,
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modality="image",
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),
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DiffusionSamplingParams(
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prompt="Convert 2D style to 3D style",
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output_size="1024x1536",
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image_path="https://github.com/lm-sys/lm-sys.github.io/releases/download/test/TI2I_Qwen_Image_Edit_Input.jpg",
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),
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),
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# TODO: Timeout with Torch2.9. Add back when it can pass CI
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# DiffusionTestCase(
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# id="qwen_image_edit_ti2i",
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# model_path="Qwen/Qwen-Image-Edit",
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# modality="image",
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# prompt=None, # not used for editing
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# output_size="1024x1536",
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# warmup_text=0,
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# warmup_edit=1,
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# edit_prompt="Convert 2D style to 3D style",
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# image_path="https://github.com/lm-sys/lm-sys.github.io/releases/download/test/TI2I_Qwen_Image_Edit_Input.jpg",
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# ),
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]
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ONE_GPU_CASES_B: list[DiffusionTestCase] = [
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@@ -334,23 +332,21 @@ ONE_GPU_CASES_B: list[DiffusionTestCase] = [
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]
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TWO_GPU_CASES_A = [
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DiffusionTestCase(
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"wan2_2_i2v_a14b_2gpu",
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DiffusionServerArgs(
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model_path="Wan-AI/Wan2.2-I2V-A14B-Diffusers",
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modality="video",
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warmup_text=0,
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warmup_edit=0,
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custom_validator="video",
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num_gpus=2,
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),
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DiffusionSamplingParams(
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prompt="generate",
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output_size="832x1104",
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image_path="https://github.com/Wan-Video/Wan2.2/blob/990af50de458c19590c245151197326e208d7191/examples/i2v_input.JPG?raw=true",
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num_frames=1,
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),
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),
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# TODO: Timeout with Torch2.9. Add back when it can pass CI
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# DiffusionTestCase(
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# id="wan2_2_i2v_a14b_2gpu",
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# model_path="Wan-AI/Wan2.2-I2V-A14B-Diffusers",
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# modality="video",
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# prompt="generate",
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# warmup_text=0,
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# warmup_edit=0,
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# output_size="832x1104",
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# edit_prompt="generate",
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# image_path="https://github.com/Wan-Video/Wan2.2/blob/990af50de458c19590c245151197326e208d7191/examples/i2v_input.JPG?raw=true",
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# custom_validator="video",
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# num_gpus=2,
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# num_frames=1,
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# ),
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DiffusionTestCase(
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"wan2_2_t2v_a14b_2gpu",
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DiffusionServerArgs(
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