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
|
#
# 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.
#
input0 = Input("input0", "TENSOR_FLOAT32", "{1, 3, 2}")
axis = 1
indices = Input("indices", "TENSOR_INT32", "{3, 2}")
output0 = Output("output0", "TENSOR_FLOAT32", "{1, 3, 2, 2}")
model = Model().Operation("GATHER", input0, axis, indices).To(output0)
quant8 = DataTypeConverter().Identify({
input0: ["TENSOR_QUANT8_ASYMM", 0.5, 127],
output0: ["TENSOR_QUANT8_ASYMM", 0.5, 127],
})
Example({
input0: [1, 2,
3, 4,
5, 6],
indices: [2, 0,
1, 0,
0, 1],
output0: [5, 6,
1, 2,
3, 4,
1, 2,
1, 2,
3, 4],
}, model=model).AddVariations("relaxed", quant8, "int32")
|
