Leo-arm commented on a change in pull request #10463:
URL: https://github.com/apache/tvm/pull/10463#discussion_r838462817
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File path: tests/python/contrib/test_ethosn/test_mean.py
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@@ -40,18 +41,22 @@ def _get_model(shape, axis, keepdims, input_zp, input_sc,
output_zp, output_sc,
@requires_ethosn
-def test_mean():
- trials = [(1, 7, 7, 2048), (1, 8, 8)]
+@pytest.mark.parametrize("dtype", ["uint8", "int8"])
+@pytest.mark.parametrize("shape", [(1, 7, 7, 2048), (1, 8, 8)])
+def test_mean(dtype, shape):
+ zp_min = np.iinfo(dtype).min
+ zp_max = np.iinfo(dtype).max
np.random.seed(0)
- for shape in trials:
- inputs = {
- "a": tvm.nd.array(np.random.randint(0, high=255, size=shape,
dtype="uint8")),
- }
- outputs = []
- for npu in [False, True]:
- model = _get_model(shape, [1, 2], True, 128, 0.0784314, 128,
0.0784314, "uint8")
- mod = tei.make_module(model, [])
- outputs.append(tei.build_and_run(mod, inputs, 1, {}, npu=npu))
-
- tei.verify(outputs, "uint8", 1)
+ inputs = {
+ "a": tvm.nd.array(np.random.randint(zp_min, high=zp_max + 1,
size=shape, dtype=dtype)),
+ }
+ outputs = []
+ for npu in [False, True]:
Review comment:
If you are talking about npu false true then no because the results of
the the two runs are compared within the same test.
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