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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