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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.
#
import numpy as np
input0 = Input("input0", "TENSOR_FLOAT32", "{1, 1, 2, 3}")
paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [1, 2,
3, 4,
3, 3,
2, 1])
pad_value = Float32Scalar("pad_value", 3.9)
output0 = Output("output0", "TENSOR_FLOAT32", "{4, 8, 8, 6}")
model = Model().Operation("PAD_V2", input0, paddings, pad_value).To(output0)
Example({
input0: [1.0, 2.0, 3.0,
4.0, 5.0, 6.0],
output0: np.pad([[[[1.0, 2.0, 3.0],
[4.0, 5.0, 6.0]]]],
[[1, 2],
[3, 4],
[3, 3],
[2, 1]],
"constant",
constant_values=3.9).flatten().tolist(),
}).AddVariations("float16", "relaxed")
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