diff options
Diffstat (limited to 'verif/generator/tosa_test_gen.py')
| -rw-r--r-- | verif/generator/tosa_test_gen.py | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/verif/generator/tosa_test_gen.py b/verif/generator/tosa_test_gen.py index a347b13..081aff6 100644 --- a/verif/generator/tosa_test_gen.py +++ b/verif/generator/tosa_test_gen.py @@ -1487,21 +1487,21 @@ class TosaTestGen: error_name=None, qinfo=None, ): - assert len(inputs) == 1 + assert len(inputs) == 2 a = inputs[0] + pad_input = inputs[1] padding = args_dict["pad"] pad_const_int = args_dict["pad_const_int"] pad_const_float = args_dict["pad_const_fp"] result_tensor = OutputShaper.padOp(self.ser, self.rng, a, padding, error_name) + # write empty padding into PadAttribute to ensure inputs[1] is used attr = ts.TosaSerializerAttribute() - attr.PadAttribute( - self.ser.builder, padding.flatten(), pad_const_int, pad_const_float - ) + attr.PadAttribute(self.ser.builder, [], pad_const_int, pad_const_float) # Invalidate Input/Output list for error if checks. - input_list = [a.name] + input_list = [a.name, pad_input.name] output_list = [result_tensor.name] pCount, cCount = op["operands"] num_operands = pCount + cCount @@ -4275,11 +4275,11 @@ class TosaTestGen: }, "pad": { "op": Op.PAD, - "operands": (1, 0), + "operands": (2, 0), "build_fcn": ( build_pad, TosaTensorGen.tgBasic, - TosaTensorValuesGen.tvgLazyGenDefault, + TosaTensorValuesGen.tvgPad, TosaArgGen.agPad, ), "types": TYPE_FIB, @@ -5305,7 +5305,7 @@ class OutputShaper: if error_name == ErrorIf.PadOutputShapeMismatch: bad_dim = rng.choice(range(len(output_shape))) - output_shape[bad_dim] -= rng.choice([1, 2]) + output_shape[bad_dim] += rng.choice([1, 2]) elif error_name == ErrorIf.RankMismatch: output_shape = gtu.get_rank_mismatch_shape(rng, output_shape) |