trevor-m commented on a change in pull request #8455:
URL: https://github.com/apache/tvm/pull/8455#discussion_r668329230
##########
File path: tests/python/contrib/test_onnx.py
##########
@@ -655,6 +655,26 @@ def verify_cast(dshape, dtype):
verify_cast(i, o_dtype)
+def test_resize():
+ """Resize unit test."""
+
+ def verify_resize(dshape, outsize, method=None, dtype="float32"):
+ x = relay.var("x", relay.ty.TensorType(dshape, dtype))
+ y = relay.image.resize2d(x, outsize, layout="NCHW", method=method)
+ func = relay.Function([x], y)
+ x_data = np.random.uniform(size=dshape).astype(dtype)
+ verify_results(func, [x_data], "test_resize", rtol=1e-4, atol=1e-4)
+
+ isize = [(1, 3, 480, 640)]
+ osize = [(240, 320), (960, 1280)]
+ method = ["nearest_neighbor", "linear", "cubic"]
Review comment:
Could you also test the various options for rounding_method and
coordinate_transformation_mode?
##########
File path: python/tvm/contrib/target/onnx.py
##########
@@ -662,6 +662,86 @@ def convert_attributes(cls, attrs):
return {"to": getattr(TensorProto, attrs.dtype.upper())}
+class Resize(OpConverter):
+ """Operator converter for Resize."""
+
+ @classmethod
+ def convert_attributes(cls, attrs):
+ method = attrs.get_str("method")
+ if method == "nearest_neighbor":
+ mode = b"nearest"
+ elif "linear" in method: # linear / bilinear
+ mode = b"linear"
+ elif "cubic" in method: # cubic / bicubic
+ mode = b"cubic"
Review comment:
It might be good to add an `else` to raise an error for unsupported
values.
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