xref: /frameworks/ml/nn/runtime/test/specs/V1_1/avg_pool_float_3_relaxed.mod.py

#
# 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 = Model()

bat = 1
row = 200
col = 180
chn = 1

i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn))

std = 2
flt = 10
pad = 0

stride = Int32Scalar("stride", std)
filt = Int32Scalar("filter", flt)
padding = Int32Scalar("padding", pad)
act0 = Int32Scalar("activation", 0)
output_row = (row + 2 * pad - flt + std) // std
output_col = (col + 2 * pad - flt + std) // std

output = Output("output", "TENSOR_FLOAT32",
                "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn))

model = model.Operation(
    "AVERAGE_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act0).To(output)
model = model.RelaxedExecution(True)

# Example 1. Input in operand 0,
input_values = [x % 2 for x in range(bat * row * col * chn)]
input0 = {i0: input_values}
output_values = [.5 for _ in range(bat * output_row * output_col * chn)]
output0 = {output: output_values}

# Instantiate an example
Example((input0, output0))