Mousius commented on a change in pull request #9299:
URL: https://github.com/apache/tvm/pull/9299#discussion_r738329628
##########
File path: tests/python/contrib/test_ethosu/test_replace_depthwise_conv2d.py
##########
@@ -176,3 +244,29 @@ def _visit(stmt):
"NONE",
]
assert data[0] == answer, data[0]
+
+
+def test_incompatible_weight_data_type():
+ ifm = relay.var("ifm", shape=(1, 8, 8, 3), dtype="int8")
+
+ depthwise = make_ethosu_depthwise_conv2d(
+ ifm=ifm,
+ channels=3,
+ kernel_shape=(3, 2),
+ padding=(0, 0),
+ strides=(1, 1),
+ dilation=(1, 1),
+ activation="NONE",
+ ifm_layout="NHWC",
+ ofm_layout="NHWC",
+ weight_dtype="int16",
+ )
+
+ func = relay.Function(relay.analysis.free_vars(depthwise), depthwise)
+ mod = tvm.IRModule.from_expr(func)
+
+ with pytest.raises(TVMError) as err:
+ mod = relay.transform.InferType()(mod)
+
+ message = "Expected ethosu_depthwise_conv2d type(uint8) or type(int8) for
weight but was int16"
+ assert message in str(err.value)
Review comment:
This can be flattened into:
```suggestion
message = "Expected ethosu_depthwise_conv2d type(uint8) or type(int8)
for weight but was int16"
with pytest.raises(TVMError, match=message):
mod = relay.transform.InferType()(mod)
```
Similar to:
https://github.com/apache/tvm/blob/5ab22bbf25bed2034b757e4a0175bfd68e8773b6/tests/python/relay/test_name_transforms.py#L37-L38
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