abhikran-quic commented on a change in pull request #9186:
URL: https://github.com/apache/tvm/pull/9186#discussion_r721892645
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File path: tests/python/frontend/onnx/test_forward.py
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@@ -1282,6 +1282,45 @@ def verify_batch_matmul(a_shape, b_shape, out_shape,
convert_config=None):
)
[email protected]_targets
+def test_matmulinteger16(target, dev):
+ def verify_matmulinteger16(a_shape, b_shape, out_shape):
+ a_dtype = "int16"
+ b_dtype = "int16"
+ low = -10
+ high = 10
+
+ a_proto = TensorProto.INT16
+ b_proto = TensorProto.INT16
+ out_proto = TensorProto.INT32
+ a_array = np.random.randint(low, high, size=a_shape).astype(a_dtype)
+ b_array = np.random.randint(low, high, size=b_shape).astype(b_dtype)
+
+ mul_node = helper.make_node("MatMulInteger16", ["a", "b"], ["out"],
domain="com.microsoft")
+
+ graph = helper.make_graph(
+ [mul_node],
+ "matmuli16_test",
+ inputs=[
+ helper.make_tensor_value_info("a", a_proto, list(a_shape)),
+ helper.make_tensor_value_info("b", b_proto, list(b_shape)),
+ ],
+ outputs=[helper.make_tensor_value_info("out", out_proto,
list(out_shape))],
+ )
+
+ model = helper.make_model(graph, producer_name="matmuli16_test")
+ verify_with_ort_with_inputs(model, [a_array, b_array], target=target,
dev=dev)
+
+ # Working tests
Review comment:
Sure. I've added comments in the latest commit.
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