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Update requirements-tpu.txt to support python 3.9 and 3.11 (#11695)
Signed-off-by: mgoin <michael@neuralmagic.com>
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@ -18,6 +18,8 @@ ray[default]
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--find-links https://storage.googleapis.com/jax-releases/jaxlib_nightly_releases.html
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torch==2.6.0.dev20241126+cpu
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torchvision==0.20.0.dev20241126+cpu
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torch_xla[tpu] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.6.0.dev20241126-cp310-cp310-linux_x86_64.whl
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torch_xla[tpu] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.6.0.dev20241126-cp39-cp39-linux_x86_64.whl ; python_version == "3.9"
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torch_xla[tpu] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.6.0.dev20241126-cp310-cp310-linux_x86_64.whl ; python_version == "3.10"
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torch_xla[tpu] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.6.0.dev20241126-cp311-cp311-linux_x86_64.whl ; python_version == "3.11"
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jaxlib==0.4.36.dev20241122
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jax==0.4.36.dev20241122
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@ -126,8 +126,10 @@ class TPUModelRunner(ModelRunnerBase[ModelInputForTPU]):
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logger.warning(
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"The max_model_len (%d) is too large. This may degrade the "
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"performance due to the insufficient smem size. Consider "
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"setting --max-model-len to a smaller value.",
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self.model_config.max_model_len)
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"setting --max-model-len to a smaller value, like %d.",
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self.model_config.max_model_len,
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self.model_config.max_model_len /
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(block_table_size / smem_size))
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def load_model(self) -> None:
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self.device = self.device_config.device
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