Imported Upstream version 0.4upstream/0.4

1 files changed, 0 insertions, 65 deletions

diff --git a/tests/nnapi/specs/V1_2/logical_not_dynamic_nnfw.mod.py b/tests/nnapi/specs/V1_2/logical_not_dynamic_nnfw.mod.py
deleted file mode 100644
index 95c3f8705..000000000
--- a/tests/nnapi/specs/V1_2/logical_not_dynamic_nnfw.mod.py
+++ /dev/null
@@ -1,65 +0,0 @@
-#
-# Copyright (C) 2018 The Android Open Source Project
-# Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-# refer to tanh_v1_dynamic.mod.py about the structore
-
-# This adds reshape as the first op in a model and
-# returns output of reshape, which is dynamic tensor
-
-'''
-Testing LogicalNot op when the input is dynamic.
-
-      input [1, 2, 3]  shape [3]  (value of shape will be [1, 2, 3])
-          |             |
-          +-------------+
-          |
-       Reshape (added by DynamicInputGenerator since it generates its output to be dynamic)
-          |
-          | dynamic tensor at compilation time but the shape will be [1, 2, 3] at execution time
-          |
-         LogicalNot
-          |
-        output (dynamic tensor, [1, 2, 3] at execution time)
-'''
-
-import dynamic_tensor
-
-model = Model()
-
-model_input_shape = [1, 2, 3]
-
-dynamic_layer = dynamic_tensor.DynamicInputGenerator(model, model_input_shape, "TENSOR_BOOL8")
-
-test_node_input = dynamic_layer.getTestNodeInput()
-
-# write LOGICAL_NOT test. input is `test_input`
-
-# note output shape is used by expected output's shape
-model_output = Output("output", "TENSOR_BOOL8", "{1, 2, 3}")
-
-model.Operation("LOGICAL_NOT", test_node_input).To(model_output)
-
-model_input_data = [True, False, True, False, True, True]
-model_output_data = [False, True, False, True, False, False]
-
-Example({
-    # use these two as input
-    dynamic_layer.getModelInput(): model_input_data,
-    dynamic_layer.getShapeInput() : model_input_shape,
-
-    model_output: model_output_data,
-})