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-rw-r--r--verif/generator/tosa_test_gen.py59
1 files changed, 45 insertions, 14 deletions
diff --git a/verif/generator/tosa_test_gen.py b/verif/generator/tosa_test_gen.py
index 9cb0ce2..bfafd23 100644
--- a/verif/generator/tosa_test_gen.py
+++ b/verif/generator/tosa_test_gen.py
@@ -1666,15 +1666,23 @@ class TosaTestGen:
self.ser.addOperator(op["op"], input_list, output_list, attr)
return TosaTestGen.BuildInfo(result_tensor, None)
- def build_transpose(self, op, a, perms, validator_fcns=None, error_name=None):
- result_tens = OutputShaper.transposeOp(self.ser, self.rng, a, perms, error_name)
+ def build_transpose(
+ self, op, inputs, args_dict, validator_fcns=None, error_name=None, qinfo=None
+ ):
+ assert len(inputs) == 1
+ a = inputs[0]
+ perms = args_dict["perms"]
+
+ result_tensor = OutputShaper.transposeOp(
+ self.ser, self.rng, a, perms, error_name
+ )
attr = ts.TosaSerializerAttribute()
attr.TransposeAttribute(perms)
# Invalidate Input/Output list for error if checks.
input_list = [a.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(
@@ -1687,11 +1695,11 @@ class TosaTestGen:
error_name,
op=op,
input_shape=a.shape,
- output_shape=result_tens.shape,
+ output_shape=result_tensor.shape,
perms=perms,
input_dtype=a.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,
@@ -1700,7 +1708,12 @@ class TosaTestGen:
return None
self.ser.addOperator(op["op"], input_list, output_list, attr)
- return result_tens
+
+ compliance = self.tensorComplianceMetaData(
+ op, a.dtype, args_dict, result_tensor, error_name
+ )
+
+ return TosaTestGen.BuildInfo(result_tensor, compliance)
def build_slice(
self, op, inputs, args_dict, validator_fcns=None, error_name=None, qinfo=None
@@ -1954,9 +1967,18 @@ class TosaTestGen:
)
return result_tens
- def build_const(self, op, val, validator_fcns=None, error_name=None):
+ def build_const(
+ self, op, inputs, args_dict, validator_fcns=None, error_name=None, qinfo=None
+ ):
+ assert len(inputs) == 1
+ val = inputs[0]
self.ser.addOutputTensor(val)
- return val
+
+ compliance = self.tensorComplianceMetaData(
+ op, val.dtype, args_dict, val, error_name
+ )
+
+ return TosaTestGen.BuildInfo(val, compliance)
# Type Conversion
def build_cast(
@@ -4356,6 +4378,9 @@ class TosaTestGen:
TosaErrorValidator.evWrongInputList,
TosaErrorValidator.evWrongOutputList,
),
+ "data_gen": {
+ "fp": (gtu.DataGenType.PSEUDO_RANDOM,),
+ },
},
"slice": {
"op": Op.SLICE,
@@ -4419,7 +4444,7 @@ class TosaTestGen:
"build_fcn": (
build_transpose,
TosaTensorGen.tgBasic,
- TosaTensorValuesGen.tvgDefault,
+ TosaTensorValuesGen.tvgLazyGenDefault,
TosaArgGen.agTranspose,
),
"types": TYPE_FIB,
@@ -4434,6 +4459,9 @@ class TosaTestGen:
TosaErrorValidator.evRankMismatch,
TosaErrorValidator.evTensorSizeInputOutputMismatch,
),
+ "data_gen": {
+ "fp": (gtu.DataGenType.PSEUDO_RANDOM,),
+ },
},
# Data nodes
"const": {
@@ -4442,10 +4470,13 @@ class TosaTestGen:
"build_fcn": (
build_const,
TosaTensorGen.tgBasic,
- TosaTensorValuesGen.tvgDefault,
- None,
+ TosaTensorValuesGen.tvgLazyGenDefault,
+ TosaArgGen.agNone,
),
"types": TYPE_FIB + [DType.INT48],
+ "data_gen": {
+ "fp": (gtu.DataGenType.PSEUDO_RANDOM,),
+ },
},
"identity": {
"op": Op.IDENTITY,
@@ -4788,8 +4819,8 @@ class TosaTestGen:
"build_fcn": (
build_const,
TosaTensorGen.tgBasic,
- TosaTensorValuesGen.tvgDefault,
- None,
+ TosaTensorValuesGen.tvgLazyGenDefault,
+ TosaArgGen.agNone,
),
"types": [DType.SHAPE],
},