diff options
Diffstat (limited to 'ethosu/vela/test')
| -rw-r--r-- | ethosu/vela/test/test_supported_operators.py | 23 |
1 files changed, 20 insertions, 3 deletions
diff --git a/ethosu/vela/test/test_supported_operators.py b/ethosu/vela/test/test_supported_operators.py index 355b472c..666a5ecc 100644 --- a/ethosu/vela/test/test_supported_operators.py +++ b/ethosu/vela/test/test_supported_operators.py @@ -840,12 +840,15 @@ def test_constraint_keep_dims_ifm_ofm(): assert support.is_operator_supported(op) -def create_mean(input_shape, output_shape, indices, datatype, attrs): +def create_mean(input_shape, output_shape, axis, datatype, attrs): ifm = Tensor(input_shape, datatype, "in") ifm.quantization = testutil.default_quant_params() - indices = create_const_tensor("indices", [len(indices)], DataType.int32, indices, np.uint8) ofm = Tensor(output_shape, datatype, "out") ofm.quantization = testutil.default_quant_params() + if type(axis) is list: + indices = create_const_tensor("indices", [len(axis)], DataType.int32, axis, np.uint8) + elif type(axis) is int: + indices = create_const_tensor("indices", [], DataType.int32, axis, np.uint8) op = testutil.create_op(Op.Mean, [ifm, indices], ofm, attrs) return op @@ -859,8 +862,22 @@ def test_mean_dtype(): def test_mean_axis(): - op = create_mean([1, 6, 6, 16], [1, 1, 1, 16], [1], DataType.int8, {"keep_dims": True}) + op = create_mean([1, 6, 6, 16], [1, 1, 1, 16], 0, DataType.int8, {"keep_dims": True}) + assert not support.is_operator_supported(op) + op = create_mean([1, 6, 6, 16], [1, 1, 1, 16], [3], DataType.int8, {"keep_dims": True}) + assert not support.is_operator_supported(op) + op = create_mean([1, 6, 6, 16], [1, 1, 1, 16], [1, 3], DataType.int8, {"keep_dims": True}) assert not support.is_operator_supported(op) + op = create_mean([1, 6, 6, 16], [1, 1, 1, 16], [0, 1], DataType.int8, {"keep_dims": True}) + assert not support.is_operator_supported(op) + op = create_mean([1, 6, 6, 16], [1, 1, 1, 16], [1, 2], DataType.int8, {"keep_dims": True}) + assert support.is_operator_supported(op) + op = create_mean([1, 6, 6, 16], [1, 1, 1, 16], [1], DataType.int8, {"keep_dims": True}) + assert support.is_operator_supported(op) + op = create_mean([1, 6, 6, 16], [1, 1, 1, 16], 2, DataType.int8, {"keep_dims": True}) + assert support.is_operator_supported(op) + op = create_mean([1, 6, 6, 16], [1, 1, 1, 16], [2, 1], DataType.int8, {"keep_dims": True}) + assert support.is_operator_supported(op) def test_mean_hw_product(): |