diff options
Diffstat (limited to 'verif/generator/tosa_test_gen.py')
| -rw-r--r-- | verif/generator/tosa_test_gen.py | 51 |
1 files changed, 34 insertions, 17 deletions
diff --git a/verif/generator/tosa_test_gen.py b/verif/generator/tosa_test_gen.py index d82f919..ae689b4 100644 --- a/verif/generator/tosa_test_gen.py +++ b/verif/generator/tosa_test_gen.py @@ -357,6 +357,12 @@ class TosaTestGen: elif "compliance" in op and "ulp" in op["compliance"]: mode = gtu.ComplianceMode.ULP compliance_tens["ulp_info"] = {"ulp": op["compliance"]["ulp"]} + elif "compliance" in op and "relative" in op["compliance"]: + mode = gtu.ComplianceMode.RELATIVE + compliance_tens["relative_info"] = { + "max": argsDict["max_abs_value"], + "scale": op["compliance"]["relative"], + } elif op["op"] == Op.REDUCE_PRODUCT: mode = gtu.ComplianceMode.REDUCE_PRODUCT compliance_tens["reduce_product_info"] = {"n": argsDict["n"]} @@ -1933,17 +1939,21 @@ class TosaTestGen: def build_resize( self, op, - input, - mode, - scale, - offset, - border, - input_dtype, - output_dtype, + inputs, + args_dict, validator_fcns, error_name=None, + qinfo=None, ): - result_tens = OutputShaper.resizeOp( + assert len(inputs) == 1 + input = inputs[0] + mode = args_dict["mode"] + scale = args_dict["scale"] + offset = args_dict["offset"] + border = args_dict["border"] + output_dtype = args_dict["output_dtype"] + + result_tensor = OutputShaper.resizeOp( self.ser, self.rng, input, @@ -1951,14 +1961,14 @@ class TosaTestGen: scale, offset, border, - input_dtype, + input.dtype, output_dtype, error_name, ) # Invalidate Input/Output list for error if checks. input_list = [input.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( @@ -1972,25 +1982,28 @@ class TosaTestGen: op=op, mode=mode, scale=scale, - input_dtype=input_dtype, + input_dtype=input.dtype, output_dtype=output_dtype, input_shape=input.shape, - output_shape=result_tens.shape, + output_shape=result_tensor.shape, offset=offset, border=border, input_list=input_list, output_list=output_list, - result_tensors=[result_tens], + result_tensors=[result_tensor], num_operands=num_operands, ): return None attr = ts.TosaSerializerAttribute() - attr.ResizeAttribute(scale, offset, border, mode) - self.ser.addOperator(op["op"], input_list, output_list, attr) - return result_tens + + compliance = self.tensorComplianceMetaData( + op, input.dtype, args_dict, result_tensor, error_name + ) + + return TosaTestGen.BuildInfo(result_tensor, compliance) def build_identityn(self, op, val, val2, validator_fcns=None, error_name=None): result_tens = OutputShaper.unaryOp(self.ser, self.rng, val, error_name) @@ -4610,7 +4623,7 @@ class TosaTestGen: "build_fcn": ( build_resize, TosaTensorGen.tgNHWC, - TosaTensorValuesGen.tvgDefault, + TosaTensorValuesGen.tvgResize, TosaArgGen.agResize, ), "types": (DType.INT8, DType.INT16, DType.FP16, DType.BF16, DType.FP32), @@ -4636,6 +4649,10 @@ class TosaTestGen: TosaErrorValidator.evResizeOutputShapeMismatch, TosaErrorValidator.evResizeOutputShapeNonInteger, ), + "data_gen": { + "fp": (gtu.DataGenType.PSEUDO_RANDOM,), + }, + "compliance": {"relative": 0.006}, }, # Type conversion "cast": { |