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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.
model = Model()
i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 3, 6, 1}, 0.5f, 127")
f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 0.5f, 127",
[129, 131, 133, 135])
b1 = Parameter("op3", "TENSOR_INT32", "{1}, 0.25f, 0", [-4])
pad_valid = Int32Scalar("pad_valid", 2)
act_none = Int32Scalar("act_none", 0)
stride1 = Int32Scalar("stride1", 1)
stride3 = Int32Scalar("stride3", 3)
output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 1.f, 127")
model = model.Operation("CONV_2D", i1, f1, b1, pad_valid, stride3,
stride1, act_none).To(output)
# Example 1. Input in operand 0,
input0 = {
i1: # input 0
[133, 131, 129, 125, 123, 121,
135, 133, 131, 123, 121, 119,
137, 135, 133, 121, 119, 117]
}
output0 = {
output: # output 0
[157, 103, 167, 93]
}
# Instantiate an example
Example((input0, output0))
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