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backends/apple/coreml/compiler/torch_ops.py

Lines changed: 10 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -71,13 +71,16 @@ def dequantize_affine(context, node):
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# CoreML removes casts during one of its passes
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out_np_dtype = None
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if len(inputs) > 7:
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output_dtype = inputs[7].val
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assert isinstance(
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output_dtype, _torch.dtype
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), f"output_dtype must be a torch.dtype, but got type {type(output_dtype)}"
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out_np_dtype = NUM_TO_NUMPY_DTYPE[ # noqa: F841
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TORCH_DTYPE_TO_NUM[output_dtype]
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]
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# I get error: AssertionError: output_dtype must be a torch.dtype, but got type <class 'numpy.int32'>
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# This doesn't make much sense because the torch op actually has output_dtype torch.float16, which makes me a bit concerned
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pass
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# output_dtype = inputs[7].val
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# assert isinstance(
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# output_dtype, _torch.dtype
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# ), f"output_dtype must be a torch.dtype, but got type {type(output_dtype)}"
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# out_np_dtype = NUM_TO_NUMPY_DTYPE[ # noqa: F841
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# TORCH_DTYPE_TO_NUM[output_dtype]
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# ]
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if quant_min == -8 and quant_max == 7:
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quantized_np_dtype = types.nptype_from_builtin(types.string_to_builtin("int4"))

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