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#
# Copyright (C) 2019 The Android Open Source Project
#
# 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.
#
input0 = Input("input0", "TENSOR_FLOAT32", "{2, 2}")
output0 = Output("output", "TENSOR_FLOAT32", "{1, 2, 2}")
output1 = Output("output", "TENSOR_FLOAT32", "{2, 1, 2}")
output2 = Output("output", "TENSOR_FLOAT32", "{2, 2, 1}")
output3 = output2
model0 = Model().Operation("EXPAND_DIMS", input0, 0).To(output0)
model1 = Model().Operation("EXPAND_DIMS", input0, 1).To(output1)
model2 = Model().Operation("EXPAND_DIMS", input0, 2).To(output2)
model3 = Model().Operation("EXPAND_DIMS", input0, -1).To(output3)
data = [1.2, -3.4, 5.6, 7.8]
for model, output in [(model0, output0),
(model1, output1),
(model2, output2),
(model3, output3)]:
quant8_signed = DataTypeConverter().Identify({
input0: ["TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -1],
output: ["TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -1],
})
Example({
input0: data,
output: data,
}, model=model).AddVariations(quant8_signed, includeDefault=False)
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