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Author: metascroy

backends/apple/coreml/compiler/torch_ops.py

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