mbrookhart commented on a change in pull request #6351:
URL: https://github.com/apache/incubator-tvm/pull/6351#discussion_r495255300
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File path: tests/python/frontend/onnx/test_forward.py
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@@ -935,16 +975,67 @@ def verify_batch_matmul(a_shape, b_shape):
model = helper.make_model(graph, producer_name="matmul_test")
- for target, ctx in tvm.testing.enabled_targets():
- tvm_out = get_tvm_output(model, [a_array, b_array], target, ctx,
out_np.shape)
+ tvm_out = get_tvm_output_with_vm(model, [a_array, b_array], target, ctx)
+ tvm.testing.assert_allclose(out_np, tvm_out, rtol=1e-5, atol=1e-5)
+
+
+# TODO(mbrookhart): enable cuda once VM supports heterogenous execution
Review comment:
I'm hitting issues on dynamic strided slice and topk, I was going to
wait until I had that fixed to enabled them in the onnx frontend.
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