Use regular torch.Tensor for CPU tensors
#8416
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ManfeiBai
reviewed
Nov 27, 2024
| context_length = 2048 | ||
| input_shape_prefill = (1, context_length) | ||
| input_shape_decode = (1, 1) | ||
| model_args = model_exportable.ModelArgs( |
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why we have indent here for this function? for with torch_xla2.default_env():?
ManfeiBai
reviewed
Nov 27, 2024
| @@ -133,6 +133,7 @@ def _aten_copy(x, y, memory_format=None): | |||
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| @op(torch.ops.aten.clone) | |||
| @op(torch.ops.aten.clone.default) | |||
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what is the .default change?
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actually not needed, removed.
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This is to test the water with encouraging
enable_globally()usage pattern. So ideally torch_xla2 should not conflict with regular (non-compute) torch usage (such as dataloading). So we will make the type conversion explicit.