diff options
Diffstat (limited to 'verif/generator/tosa_arg_gen.py')
| -rw-r--r-- | verif/generator/tosa_arg_gen.py | 29 |
1 files changed, 12 insertions, 17 deletions
diff --git a/verif/generator/tosa_arg_gen.py b/verif/generator/tosa_arg_gen.py index 454013a..6675025 100644 --- a/verif/generator/tosa_arg_gen.py +++ b/verif/generator/tosa_arg_gen.py @@ -654,28 +654,24 @@ class TosaTensorValuesGen: ): # Variable inputs versus constants pCount, cCount = testGen.TOSA_OP_LIST[opName]["operands"] + tens_ser_list = [] if ( error_name is not None or not gtu.dtypeIsSupportedByCompliance(dtypeList[0]) or "data_gen" not in testGen.TOSA_OP_LIST[opName] ): - # Fall back to original path when dealing with unsupported types or ops - - # First turn off lazy data gen so we always produce data - lazy_data_gen = testGen.args.lazy_data_gen - testGen.args.lazy_data_gen = False - - tens_ser_list = TosaTensorValuesGen.tvgDefault( - testGen, - testGen.TOSA_OP_LIST[opName], - dtypeList, - shapeList, - [], - error_name, - ) - # Restore lazy data gen setting - testGen.args.lazy_data_gen = lazy_data_gen + # Fall back to internal data gen when dealing with unsupported types or ops + data_range = argsDict["data_range"] if "data_range" in argsDict else None + for idx, info in enumerate(zip(shapeList, dtypeList)): + shape, dtype = info + # Ignore lazy data gen option and create data array using any range limits + arr = testGen.getRandTensor(shape, dtype, data_range) + if idx < pCount: + tens_ser_list.append(testGen.ser.addPlaceholder(shape, dtype, arr)) + else: + tens_ser_list.append(testGen.ser.addConst(shape, dtype, arr)) + return TosaTensorValuesGen.TVGInfo(tens_ser_list, None) # Create data generator meta-data @@ -685,7 +681,6 @@ class TosaTensorValuesGen: "tensors": {}, } dg_tens_meta = tens_data["tensors"] - tens_ser_list = [] for idx, shape in enumerate(shapeList): tens_meta = {} |