wehub-resource-sync
72 lines
1.9 KiB
Python
72 lines
1.9 KiB
Python
# Copyright (c) 2021 CINN Authors. All Rights Reserved.
|
|
#
|
|
# 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.
|
|
|
|
|
|
import paddle
|
|
from paddle import static
|
|
|
|
paddle.enable_static()
|
|
|
|
resnet_input = static.data(
|
|
name="resnet_input", shape=[1, 160, 7, 7], dtype='float32'
|
|
)
|
|
label = static.data(name="label", shape=[1, 960, 7, 7], dtype='float32')
|
|
d = paddle.nn.functional.relu6(resnet_input)
|
|
f = paddle.nn.Conv2D(
|
|
in_channels=d.shape[1],
|
|
out_channels=960,
|
|
kernel_size=1,
|
|
stride=1,
|
|
dilation=1,
|
|
padding=0,
|
|
)(d)
|
|
|
|
g = paddle.nn.Conv2D(
|
|
in_channels=f.shape[1],
|
|
out_channels=160,
|
|
kernel_size=1,
|
|
stride=1,
|
|
dilation=1,
|
|
padding=0,
|
|
)(f)
|
|
i = paddle.nn.Conv2D(
|
|
in_channels=g.shape[1],
|
|
out_channels=960,
|
|
kernel_size=1,
|
|
stride=1,
|
|
dilation=1,
|
|
padding=0,
|
|
)(g)
|
|
j1 = paddle.scale(i, scale=2.0, bias=0.5)
|
|
j = paddle.scale(j1, scale=2.0, bias=0.5)
|
|
temp7 = paddle.nn.functional.relu(j)
|
|
|
|
cost = paddle.nn.functional.square_error_cost(temp7, label)
|
|
avg_cost = paddle.mean(cost)
|
|
|
|
optimizer = paddle.optimizer.SGD(learning_rate=0.001)
|
|
optimizer.minimize(avg_cost)
|
|
|
|
cpu = paddle.CPUPlace()
|
|
exe = static.Executor(cpu)
|
|
|
|
exe.run(static.default_startup_program())
|
|
|
|
static.io.save_inference_model("./resnet_model", [resnet_input], [temp7], exe)
|
|
static.io.save_inference_model("./resnet_model_1", [resnet_input], [temp7], exe)
|
|
if paddle.framework.use_pir_api():
|
|
print('res', temp7)
|
|
else:
|
|
print('res', temp7.name)
|