diff options
Diffstat (limited to 'verif/generator/tosa_arg_gen.py')
| -rw-r--r-- | verif/generator/tosa_arg_gen.py | 15 |
1 files changed, 9 insertions, 6 deletions
diff --git a/verif/generator/tosa_arg_gen.py b/verif/generator/tosa_arg_gen.py index 1f54851..454013a 100644 --- a/verif/generator/tosa_arg_gen.py +++ b/verif/generator/tosa_arg_gen.py @@ -767,8 +767,10 @@ class TosaTensorValuesGen: return TosaTensorValuesGen.TVGInfo(tens_ser_list, tens_data) @staticmethod - def tvgNegate(testGen, op, dtypeList, shapeList, testArgs, error_name=None): + def tvgNegate(testGen, opName, dtypeList, shapeList, argsDict, error_name=None): if dtypeList[0] == DType.INT32 and error_name is None: + # Integer test + op = testGen.TOSA_OP_LIST[opName] pCount, cCount = op["operands"] assert ( pCount == 1 and cCount == 0 @@ -780,14 +782,15 @@ class TosaTensorValuesGen: arr = np.int32( testGen.rng.integers(low=min_val, high=(max_val + 1), size=shapeList[0]) ) - placeholders = [] - placeholders.append( + tens_ser_list = [] + tens_ser_list.append( testGen.ser.addPlaceholder(shapeList[0], dtypeList[0], arr) ) - return placeholders + return TosaTensorValuesGen.TVGInfo(tens_ser_list, None) else: - return TosaTensorValuesGen.tvgDefault( - testGen, op, dtypeList, shapeList, testArgs, error_name + # ERROR_IF or floating point test + return TosaTensorValuesGen.tvgLazyGenDefault( + testGen, opName, dtypeList, shapeList, argsDict, error_name ) # Set the data range to half the largest value |