mbrookhart commented on a change in pull request #9017:
URL: https://github.com/apache/tvm/pull/9017#discussion_r710553130
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File path: python/tvm/relay/frontend/onnx.py
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@@ -654,6 +676,40 @@ def _impl_v1(cls, inputs, attr, params):
)
+class QLinearGlobalAveragePool(OnnxOpConverter):
+ "Operator converter for QLinearGlobalAveragePool from Microsoft
onnxruntime contrib opset."
+
+ @classmethod
+ def _impl_v1(cls, inputs, attr, params):
+ rank = len(infer_shape(inputs[0]))
+
+ x_scale = get_scalar(inputs[1], params)
+ x_zero_point = get_scalar(inputs[2], params, dtype="int32")
+ y_scale = fold_constant(get_scalar(inputs[3], params))
+ y_zero_point = get_scalar(inputs[4], params, dtype="int32")
+
+ input_dtype = infer_type(inputs[0]).checked_type.dtype
+
+ # Onnxruntime documentation does not mention that this global avg_pool
should follow the
Review comment:
I have AvgPool in FakeQuantizationToInteger already, we can use that to
convert to integer if needed. I haven't done GlobalAvgPool yet.
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