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#
# Copyright (C) 2018 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.
#
# Quantized PAD with non-zero zeroPoint is supported since 1.2.
# See http://b/132112227.
input0 = Input("input0", "TENSOR_QUANT8_ASYMM", "{1, 2, 3, 1}, 2.3, 9")
paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [0, 0,
0, 2,
1, 3,
0, 0])
output0 = Output("output0", "TENSOR_QUANT8_ASYMM", "{1, 4, 7, 1}, 2.3, 9")
model = Model().Operation("PAD", input0, paddings).To(output0)
Example({
input0: [1, 2, 3,
4, 5, 6],
output0: [9, 1, 2, 3, 9, 9, 9,
9, 4, 5, 6, 9, 9, 9,
9, 9, 9, 9, 9, 9, 9,
9, 9, 9, 9, 9, 9, 9],
})
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