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#
# 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.
#
# please refer to tanh_v1_dynamic.mod.py to see how to write test about dynamic tensor
import dynamic_tensor
model = Model()
input1_shape = [2, 3]
dynamic_layer = dynamic_tensor.DynamicInputGenerator(model, input1_shape, "TENSOR_FLOAT32")
input1 = dynamic_layer.getTestNodeInput()
input2 = Input("op2", "TENSOR_FLOAT32", "{2, 3}")
axis0 = Int32Scalar("axis0", 0)
model_output = Output("output", "TENSOR_FLOAT32", "{4, 3}")
model =model.Operation("CONCATENATION", input1, input2, axis0).To(model_output)
input1_data = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0]
input2_data = [7.0, 8.0, 9.0, 10.0, 11.0, 12.0]
model_output_data = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0]
input_list = {
dynamic_layer.getModelInput(): input1_data,
dynamic_layer.getShapeInput() : input1_shape,
input2 : input2_data,
}
output_list= {
model_output: model_output_data
}
Example((input_list, output_list))
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