blob: 356bbc1a83ebac658d73a6eea25c3b8c1d7393b7 [file] [log] [blame]
Manupa Karunaratned83d2e12020-07-20 12:05:32 +01001# Copyright (C) 2020 Arm Limited or its affiliates. All rights reserved.
2#
3# SPDX-License-Identifier: Apache-2.0
4#
5# Licensed under the Apache License, Version 2.0 (the License); you may
6# not use this file except in compliance with the License.
7# You may obtain a copy of the License at
8#
9# www.apache.org/licenses/LICENSE-2.0
10#
11# Unless required by applicable law or agreed to in writing, software
12# distributed under the License is distributed on an AS IS BASIS, WITHOUT
13# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14# See the License for the specific language governing permissions and
15# limitations under the License.
16# Description:
17# Contains unit tests for encode_weights API for an external consumer
18import numpy as np
19import pytest
20
21from ethosu.vela import weight_compressor
Louis Verhaarde8a5a782020-11-02 18:04:27 +010022from ethosu.vela.api import NpuBlockTraversal
Manupa Karunaratned83d2e12020-07-20 12:05:32 +010023from ethosu.vela.architecture_features import Accelerator
24
25
26@pytest.mark.parametrize(
27 "arch",
28 [
29 Accelerator.Ethos_U55_32,
30 Accelerator.Ethos_U55_64,
31 Accelerator.Ethos_U55_128,
32 Accelerator.Ethos_U55_256,
33 Accelerator.Yoda_256,
34 Accelerator.Yoda_512,
35 ],
36)
37@pytest.mark.parametrize("dilation_x", [1, 2])
38@pytest.mark.parametrize("dilation_y", [1, 2])
39@pytest.mark.parametrize("ifm_bitdepth", [8, 16])
40@pytest.mark.parametrize("depth_control", [1, 2, 3])
41@pytest.mark.parametrize("weights_shape_and_block_depth", [((16, 16, 16, 16), 8), ((3, 3, 25, 16), 8)])
42def test_encode_weights(
43 arch, weights_shape_and_block_depth, dilation_x, dilation_y, ifm_bitdepth, depth_control,
44):
45 """
46 This unit test checks the interface of the API function but not the functionality.
47 Functional correctness is tested at a system level.
48 """
49
50 weights_shape = weights_shape_and_block_depth[0]
51 ofm_block_depth = weights_shape_and_block_depth[1]
52 val_max = np.iinfo(np.uint8).max
53 weights_hwio = np.random.randint(val_max, size=weights_shape, dtype=np.uint8)
54 weights_ohwi = np.transpose(weights_hwio, (3, 0, 1, 2))
55 is_depthwise = True if depth_control == 2 else False
Louis Verhaarde8a5a782020-11-02 18:04:27 +010056 block_traversal = NpuBlockTraversal.PART_KERNEL_FIRST if depth_control == 3 else NpuBlockTraversal.DEPTH_FIRST
Manupa Karunaratned83d2e12020-07-20 12:05:32 +010057 dilation_xy = (dilation_x, dilation_y)
58
59 encoded_stream = weight_compressor.encode_weights(
60 accelerator=arch,
61 weights_volume=weights_ohwi,
62 dilation_xy=dilation_xy,
63 ifm_bitdepth=ifm_bitdepth,
64 ofm_block_depth=ofm_block_depth,
65 is_depthwise=is_depthwise,
Louis Verhaarde8a5a782020-11-02 18:04:27 +010066 block_traversal=block_traversal,
Manupa Karunaratned83d2e12020-07-20 12:05:32 +010067 )
68 assert type(encoded_stream) == bytearray
69
70
71if __name__ == "__main__":
72 # two test candidates for debugging purposes
73 test_encode_weights(Accelerator.Ethos_U55_256, ((3, 3, 25, 16), 8), 1, 1, 8, 0)
74 test_encode_weights(Accelerator.Ethos_U55_256, ((16, 16, 16, 16), 8), 1, 1, 8, 0)