[GitHub] [tvm] masahi commented on a change in pull request #7031: [Relay][Frontend][Onnx] Add support for Size op in Onnx frontend.

[GitBox <gi...@apache.org>]

masahi commented on a change in pull request #7031:
URL: https://github.com/apache/tvm/pull/7031#discussion_r535806394



##########
File path: tests/python/frontend/onnx/test_forward.py
##########
@@ -3888,6 +3888,36 @@ def test_if():
             tvm.testing.assert_allclose(correct_out[i], tvm_out[i], rtol=1e-05, atol=1e-05)
 
 
+@tvm.testing.uses_gpu
+def test_size():
+    def verify_size(indata):
+        node = helper.make_node(
+            "Size",
+            inputs=["X"],
+            outputs=["Y"],
+        )
+
+        graph = helper.make_graph(
+            [node],
+            "size_test",
+            inputs=[helper.make_tensor_value_info("X", TensorProto.INT64, list(indata.shape))],
+            outputs=[helper.make_tensor_value_info("Y", TensorProto.INT64, [])],
+        )
+
+        model = helper.make_model(graph, producer_name="size_test")
+
+        for target, _ in tvm.testing.enabled_targets():
+            verify_with_ort_with_inputs(
+                model, [indata], targets=[target], dtype="int64", use_vm=True, opset=11

Review comment:
       Note that you don't have to explicitly pass `targets` if you test against all targets. If `targets` is None, `verify_with_ort_with_inputs` will test on all targets.




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