1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
|
#
# 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 = 5
row = 52
col = 60
chn = 3
i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn))
# This was lowered from values in avg_pool_float_2, as it wasn't possible
# to evaluate it with expected accuracy requirements with fp16 accumulator.
std = 5
flt = 35
pad = 30
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 = [1. for _ in range(bat * row * col * chn)]
input0 = {i0: input_values}
output_values = [1. for _ in range(bat * output_row * output_col * chn)]
output0 = {output: output_values}
# Instantiate an example
Example((input0, output0))
|
