Fix up shape operator test errors

Update serialization_lib to store SHAPE as INT64.

Signed-off-by: Jeremy Johnson <jeremy.johnson@arm.com>
Change-Id: Ie589cd6670dc79b77df981c81cd7c27b982f20fa

5 files changed, 12 insertions, 27 deletions

diff --git a/thirdparty/serialization_lib b/thirdparty/serialization_lib
-Subproject 5d580faec02bcef56164587accb5fd88a3e80d8
+Subproject 7c22d77a71eb59885dab1cbc3b957384c10a2af
diff --git a/verif/conformance/tosa_base_profile_ops_info.json b/verif/conformance/tosa_base_profile_ops_info.json
index ec51324..54bce21 100644
--- a/verif/conformance/tosa_base_profile_ops_info.json
+++ b/verif/conformance/tosa_base_profile_ops_info.json
@@ -1011,6 +1011,7 @@
         ],
         "generation": {
             "standard": {
+                "no_negative_tests": "true",
                 "generator_args": [
                     [
                         "--target-dtype",
diff --git a/verif/generator/tosa_arg_gen.py b/verif/generator/tosa_arg_gen.py
index 91d2d62..386e243 100644
--- a/verif/generator/tosa_arg_gen.py
+++ b/verif/generator/tosa_arg_gen.py
@@ -622,28 +622,6 @@ class TosaTensorGen:
 
         return new_shapeList
 
-    @staticmethod
-    def tgShape(testGen, opName, rank, error_name=None):
-        pl, const = opName["operands"]
-        shape = [rank]
-
-        # Constrict the overall size of the shape when creating ERROR_IF tests
-        if error_name:
-            shape = TosaErrorIfArgGen.eiRestrictDimensions(shape)
-
-        shape_list = []
-        for i in range(pl + const):
-            shape_list.append(shape.copy())
-
-            # Generates an input rank mismatch for operators with more than one input
-            if error_name == ErrorIf.RankMismatch:
-                if rank == 1 and i != 1:
-                    shape = testGen.makeShape(rank + testGen.rng.choice([1, 2, 3]))
-                elif i != 1:
-                    shape = testGen.makeShape(rank + testGen.rng.choice([-1, 1]))
-
-        return shape_list
-
 
 class TosaTensorValuesGen:
     """Tensor Value generators create the random data for each tensor in each test."""
diff --git a/verif/generator/tosa_test_gen.py b/verif/generator/tosa_test_gen.py
index 39b064d..a347b13 100644
--- a/verif/generator/tosa_test_gen.py
+++ b/verif/generator/tosa_test_gen.py
@@ -4714,9 +4714,10 @@ class TosaTestGen:
         "add_shape": {
             "op": Op.ADD_SHAPE,
             "operands": (2, 0),
+            "rank": (1, 1),
             "build_fcn": (
                 build_shape_op,
-                TosaTensorGen.tgShape,
+                TosaTensorGen.tgBasic,
                 TosaTensorValuesGen.tvgAddSub,
                 TosaArgGen.agNone,
             ),
@@ -4726,9 +4727,10 @@ class TosaTestGen:
         "sub_shape": {
             "op": Op.SUB_SHAPE,
             "operands": (2, 0),
+            "rank": (1, 1),
             "build_fcn": (
                 build_shape_op,
-                TosaTensorGen.tgShape,
+                TosaTensorGen.tgBasic,
                 TosaTensorValuesGen.tvgAddSub,
                 TosaArgGen.agNone,
             ),
@@ -4738,9 +4740,10 @@ class TosaTestGen:
         "mul_shape": {
             "op": Op.MUL_SHAPE,
             "operands": (2, 0),
+            "rank": (1, 1),
             "build_fcn": (
                 build_shape_op,
-                TosaTensorGen.tgShape,
+                TosaTensorGen.tgBasic,
                 TosaTensorValuesGen.tvgMul,
                 TosaArgGen.agNone,
             ),
@@ -4750,9 +4753,10 @@ class TosaTestGen:
         "div_shape": {
             "op": Op.DIV_SHAPE,
             "operands": (2, 0),
+            "rank": (1, 1),
             "build_fcn": (
                 build_shape_op,
-                TosaTensorGen.tgShape,
+                TosaTensorGen.tgBasic,
                 TosaTensorValuesGen.tvgIntDiv,
                 TosaArgGen.agNone,
             ),
@@ -4762,6 +4766,7 @@ class TosaTestGen:
         "concat_shape": {
             "op": Op.CONCAT_SHAPE,
             "operands": (2, 0),
+            "rank": (1, 1),
             "build_fcn": (
                 build_concat,
                 TosaTensorGen.tgConcat,
@@ -4774,6 +4779,7 @@ class TosaTestGen:
         "const_shape": {
             "op": Op.CONST_SHAPE,
             "operands": (0, 1),
+            "rank": (1, 1),
             "build_fcn": (
                 build_const,
                 TosaTensorGen.tgBasic,
diff --git a/verif/generator/tosa_utils.py b/verif/generator/tosa_utils.py
index 33db95f..6387d06 100644
--- a/verif/generator/tosa_utils.py
+++ b/verif/generator/tosa_utils.py
@@ -56,7 +56,7 @@ def dtypeIsSupportedByCompliance(dtype):
     """Types supported by the new data generation and compliance flow."""
     if isinstance(dtype, list) or isinstance(dtype, tuple):
         dtype = dtype[0]
-    return dtype in (DType.FP32, DType.FP16, DType.SHAPE)
+    return dtype in (DType.FP32, DType.FP16)
 
 
 def getOpNameFromOpListName(opName):