Fix dynamic_input_shape referenced before assignment error

- Found the error for framework test generator when it's not generating
dynamic_shaped tests

Signed-off-by: Jerry Ge <jerry.ge@arm.com>
Change-Id: I54bf1422026f7f962d3f6ed0be9bd2e4dade14c5

1 files changed, 6 insertions, 6 deletions

diff --git a/verif/frameworks/tosa_verif_framework_generator.py b/verif/frameworks/tosa_verif_framework_generator.py
index 1b187ba..3a9c0ca 100755
--- a/verif/frameworks/tosa_verif_framework_generator.py
+++ b/verif/frameworks/tosa_verif_framework_generator.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-# Copyright (c) 2020-2023, ARM Limited.
+# Copyright (c) 2020-2024, ARM Limited.
 # SPDX-License-Identifier: Apache-2.0
 import argparse
 import os
@@ -1168,22 +1168,22 @@ def run_unit_test(
         placeholder_shapes = []
 
         for idx, (name, val) in enumerate(placeholders):
-            input_shape = val.shape
+            input_shape = tuple(val.shape)
+
             try:
                 dynamic_shape_dim_tuples = op["dynamic_shape_dim"]
                 dim_tuple = dynamic_shape_dim_tuples[idx]
                 dim = dim_tuple[0]
-                input_shape = list(val.shape)
+                input_shape = list(input_shape)
                 input_shape[dim] = None
-                dynamic_input_shape = tuple(input_shape)
 
-                addl_args.append(dynamic_input_shape)
+                addl_args.append(tuple(input_shape))
             except KeyError:
                 pass
 
             placeholder_names.append(name)
             placeholder_signatures = placeholder_signatures + (
-                tf.TensorSpec(shape=dynamic_input_shape, dtype=val.dtype, name=name),
+                tf.TensorSpec(shape=input_shape, dtype=val.dtype, name=name),
             )
             placeholder_npy_filenames.append("{}.npy".format(name.split(":")[0]))
             placeholder_shapes.append(val.shape)