diff options
Diffstat (limited to 'verif/generator/tosa_test_gen.py')
| -rw-r--r-- | verif/generator/tosa_test_gen.py | 38 |
1 files changed, 29 insertions, 9 deletions
diff --git a/verif/generator/tosa_test_gen.py b/verif/generator/tosa_test_gen.py index 63958a9..1602109 100644 --- a/verif/generator/tosa_test_gen.py +++ b/verif/generator/tosa_test_gen.py @@ -307,10 +307,15 @@ class TosaTestGen: def tensorComplianceMetaData( self, op, inputType, argsDict, outputTensor, errorName ): + # TODO - Dot product Ops with FP16 or BF16 inputs that produce FP32 outputs are not supported yet + UNSUPPORTED_NON_FP32_INPUT_OPS = (Op.MATMUL, Op.CONV2D, Op.FULLY_CONNECTED) if ( errorName or not gtu.dtypeIsSupportedByCompliance(outputTensor.dtype) - or not gtu.dtypeIsSupportedByCompliance(inputType) + or ( + not gtu.dtypeIsSupportedByCompliance(inputType) + and op["op"] in UNSUPPORTED_NON_FP32_INPUT_OPS + ) ): # No compliance for error tests or unsupported types currently return None @@ -1874,14 +1879,20 @@ class TosaTestGen: return val # Type Conversion - def build_cast(self, op, val, out_dtype, validator_fcns=None, error_name=None): - result_tens = OutputShaper.typeConversionOp( + def build_cast( + self, op, inputs, args_dict, validator_fcns=None, error_name=None, qinfo=None + ): + assert len(inputs) == 1 + val = inputs[0] + out_dtype = args_dict["out_type"] + + result_tensor = OutputShaper.typeConversionOp( self.ser, self.rng, val, out_dtype, error_name ) # Invalidate Input/Output list for error if checks. input_list = [val.name] - output_list = [result_tens.name] + output_list = [result_tensor.name] pCount, cCount = op["operands"] num_operands = pCount + cCount input_list, output_list = TosaErrorIfArgGen.eiInvalidateInputOutputList( @@ -1894,10 +1905,10 @@ class TosaTestGen: error_name, op=op, input_shape=val.shape, - output_shape=result_tens.shape, + output_shape=result_tensor.shape, input_dtype=val.dtype, - output_dtype=result_tens.dtype, - result_tensors=[result_tens], + output_dtype=result_tensor.dtype, + result_tensors=[result_tensor], input_list=input_list, output_list=output_list, num_operands=num_operands, @@ -1905,7 +1916,12 @@ class TosaTestGen: return None self.ser.addOperator(op["op"], input_list, output_list) - return result_tens + + compliance = self.tensorComplianceMetaData( + op, val.dtype, args_dict, result_tensor, error_name + ) + + return TosaTestGen.BuildInfo(result_tensor, compliance) def build_rescale( self, @@ -4365,7 +4381,7 @@ class TosaTestGen: "build_fcn": ( build_cast, TosaTensorGen.tgBasic, - TosaTensorValuesGen.tvgDefault, + TosaTensorValuesGen.tvgCast, TosaArgGen.agCast, ), "types": ( @@ -4383,6 +4399,10 @@ class TosaTestGen: TosaErrorValidator.evWrongInputList, TosaErrorValidator.evWrongOutputList, ), + "data_gen": { + "fp": (gtu.DataGenType.PSEUDO_RANDOM,), + }, + "compliance": {"ulp": 0.5}, }, "rescale": { "op": Op.RESCALE, |