diff options
Diffstat (limited to 'ethosu/vela/test/test_supported_operators.py')
| -rw-r--r-- | ethosu/vela/test/test_supported_operators.py | 22 |
1 files changed, 22 insertions, 0 deletions
diff --git a/ethosu/vela/test/test_supported_operators.py b/ethosu/vela/test/test_supported_operators.py index 62de0d1d..86d24757 100644 --- a/ethosu/vela/test/test_supported_operators.py +++ b/ethosu/vela/test/test_supported_operators.py @@ -100,6 +100,28 @@ def test_constraint_tens_quant_scale(): assert not support.is_operator_supported(op) +def test_constraint_tens_quant_per_axis_not_supp(): + # Quantization scale cannot be array-valued for elemwise ops + qp = QuantizationParameters() + qp.zero_point = np.zeros((1, 3)) + qp.scale_f32 = np.ones((1, 3)) + op = testutil.create_elemwise_op(Op.Mul, "op", [1, 8, 8, 8], [], [1, 8, 8, 8], ifm_quant=qp) + assert not support.is_operator_supported(op) + + +def test_constraint_tens_quant_per_axis_is_supp(): + op = testutil.create_op_with_quant_tensors( + Op.Conv2DBias, [1, 1, 1, 3], [1, 1, 1, 3], weights_shape=[1, 1, 1, 3], bias_shape=[1, 1, 1, 3] + ) + op.attrs = {"stride_w": 1, "stride_h": 1} + assert support.is_operator_supported(op) + qp = QuantizationParameters() + qp.zero_point = np.zeros((1, 3)) + qp.scale_f32 = np.ones((1, 3)) + op.bias.quantization = qp + assert support.is_operator_supported(op) + + def test_constraint_faf(): # Fused activation functions, if set, must be a valid op type op = testutil.create_op_with_quant_tensors(Op.Relu, [1, 8, 8, 8], [1, 8, 8, 8]) |