ashutosh-arm commented on code in PR #11732:
URL: https://github.com/apache/tvm/pull/11732#discussion_r899281864
##########
tests/python/contrib/test_cmsisnn/test_binary_ops.py:
##########
@@ -145,6 +145,58 @@ def test_op_int8(
)
+@skip_if_no_reference_system
[email protected]_cmsisnn
[email protected]("op", [relay.qnn.op.mul, relay.qnn.op.add])
[email protected]("relu_type", ["RELU", "NONE"])
+def test_same_input_to_binary_op(op, relu_type):
+ """Tests QNN binary operator for CMSIS-NN where both inputs are the same"""
+ interface_api = "c"
+ use_unpacked_api = True
+ test_runner = AOT_USMP_CORSTONE300_RUNNER
+
+ dtype = "int8"
+ shape = [1, 16, 16, 3]
+ input_ = generate_variable("input")
+ input_scale = 0.256
+ input_zero_point = 33
+
+ model = make_model(
+ op,
+ input_,
+ input_,
+ input_scale,
+ input_zero_point,
+ input_scale,
+ input_zero_point,
+ relu_type,
+ )
+ orig_mod = make_module(model)
+
+ cmsisnn_mod = cmsisnn.partition_for_cmsisnn(orig_mod)
+
+ # validate pattern matching
+ assert_partitioned_function(orig_mod, cmsisnn_mod)
+
+ # validate the output
+ in_min, in_max = get_range_for_dtype_str(dtype)
+ inputs = {
+ "input": np.random.randint(in_min, high=in_max, size=shape,
dtype=dtype),
+ }
+ output_list = generate_ref_data(orig_mod["main"], inputs)
+ compile_and_run(
Review Comment:
I have added a check for this above in L182. Thanks @Mousius.
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