mirror of https://github.com/kendryte/nncase.git
96 lines
2.3 KiB
Python
96 lines
2.3 KiB
Python
# Copyright 2019-2021 Canaan Inc.
|
|
#
|
|
# 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.
|
|
"""System test: test binary"""
|
|
# pylint: disable=invalid-name, unused-argument, import-outside-toplevel
|
|
|
|
import pytest
|
|
import tensorflow as tf
|
|
import numpy as np
|
|
from tflite_test_runner import TfliteTestRunner
|
|
|
|
|
|
def _make_module(in_shape, v_shape):
|
|
class BinaryModule(tf.Module):
|
|
def __init__(self):
|
|
super(BinaryModule).__init__()
|
|
self.v = tf.constant(np.random.rand(*v_shape).astype(np.float32))
|
|
|
|
@tf.function(input_signature=[tf.TensorSpec(in_shape, tf.float32)])
|
|
def __call__(self, x):
|
|
outs = x + self.v
|
|
|
|
return outs
|
|
return BinaryModule()
|
|
|
|
|
|
lhs_shapes = [
|
|
[1, 224, 224, 3],
|
|
]
|
|
|
|
rhs_shapes = [
|
|
[1],
|
|
|
|
]
|
|
|
|
|
|
@pytest.mark.parametrize('lhs_shape', lhs_shapes)
|
|
@pytest.mark.parametrize('rhs_shape', rhs_shapes)
|
|
def test_layout(lhs_shape, rhs_shape, request):
|
|
module = _make_module(lhs_shape, rhs_shape)
|
|
overwrite_cfg = """
|
|
case:
|
|
preprocess_opt:
|
|
- name: preprocess
|
|
values:
|
|
- true
|
|
- name: swapRB
|
|
values:
|
|
- false
|
|
- name: mean
|
|
values:
|
|
- [0,0,0]
|
|
- name: std
|
|
values:
|
|
- [1,1,1]
|
|
- name: input_range
|
|
values:
|
|
- [0,255]
|
|
- name: input_type
|
|
values:
|
|
- uint8
|
|
- name: input_shape
|
|
values:
|
|
- [1,3,224,224]
|
|
- name: input_layout
|
|
values:
|
|
- NCHW
|
|
- name: output_layout
|
|
values:
|
|
- NHWC
|
|
- name: model_layout
|
|
values:
|
|
- NHWC
|
|
- name: letterbox_value
|
|
values:
|
|
- 0.
|
|
"""
|
|
|
|
runner = TfliteTestRunner(request.node.name, overwrite_configs=overwrite_cfg)
|
|
model_file = runner.from_tensorflow(module)
|
|
runner.run(model_file)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
pytest.main(['-vv', 'test_layout.py'])
|