wehub-resource-sync
241 lines
9.4 KiB
Python
241 lines
9.4 KiB
Python
# Copyright (c) 2024 PaddlePaddle 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 os
|
|
import tempfile
|
|
import unittest
|
|
|
|
import numpy as np
|
|
|
|
import paddle
|
|
from paddle.optimizer import Adam
|
|
from paddle.pir_utils import IrGuard
|
|
|
|
paddle.enable_static()
|
|
IMAGE_SIZE = 784
|
|
|
|
|
|
class TestSimpleParamSaveLoad(unittest.TestCase):
|
|
def setUp(self):
|
|
self.temp_dir = tempfile.TemporaryDirectory()
|
|
self.place = (
|
|
paddle.CUDAPlace(0)
|
|
if paddle.is_compiled_with_cuda()
|
|
else paddle.CPUPlace()
|
|
)
|
|
|
|
def tearDown(self):
|
|
self.temp_dir.cleanup()
|
|
|
|
def get_params(self, prog):
|
|
scope = paddle.static.global_scope()
|
|
|
|
def get_tensor(name):
|
|
t = scope.find_var(name).get_tensor()
|
|
return t
|
|
|
|
param_dict = {}
|
|
opt_dict = {}
|
|
for op in prog.global_block().ops:
|
|
if op.name() == "builtin.parameter" and "persistable" in op.attrs():
|
|
if op.attrs()['persistable'] == [True]:
|
|
name = op.attrs()["parameter_name"]
|
|
param_dict.update({name: get_tensor(name)})
|
|
elif op.name() == "pd_op.data" and "persistable" in op.attrs():
|
|
if op.attrs()['persistable'] == [True]:
|
|
name = op.attrs()["name"]
|
|
opt_dict.update({name: get_tensor(name)})
|
|
return param_dict, opt_dict
|
|
|
|
def test_params_python(self):
|
|
with IrGuard():
|
|
main_program = paddle.static.Program()
|
|
with paddle.static.program_guard(
|
|
main_program, paddle.static.Program()
|
|
):
|
|
x = paddle.static.data(
|
|
name="static_x", shape=[None, IMAGE_SIZE], dtype='float32'
|
|
)
|
|
z = paddle.static.nn.fc(x, 10)
|
|
z = paddle.static.nn.fc(z, 10, bias_attr=False)
|
|
loss = paddle.mean(z)
|
|
opt = Adam(learning_rate=1e-3)
|
|
opt.minimize(loss)
|
|
exe = paddle.static.Executor(self.place)
|
|
exe.run(paddle.static.default_startup_program())
|
|
fake_inputs = np.random.randn(2, IMAGE_SIZE).astype('float32')
|
|
exe.run(
|
|
main_program,
|
|
feed={'static_x': fake_inputs},
|
|
fetch_list=[loss],
|
|
)
|
|
scope = paddle.static.global_scope()
|
|
params = main_program.global_block().all_parameters()
|
|
param_dict = {}
|
|
# save parameters
|
|
for v in params:
|
|
name = v.get_defining_op().attrs()["parameter_name"]
|
|
param_dict.update({name: scope.var(name).get_tensor()})
|
|
|
|
path = os.path.join(self.temp_dir.name, "save_pickle")
|
|
paddle.static.io.save(main_program, path)
|
|
|
|
# change the value of parameters
|
|
for v in params:
|
|
name = v.get_defining_op().attrs()["parameter_name"]
|
|
tensor = scope.var(name).get_tensor()
|
|
tensor.set(np.zeros_like(np.array(tensor)), self.place)
|
|
|
|
# load parameters
|
|
paddle.static.io.load(main_program, path)
|
|
for v in params:
|
|
if v.get_defining_op().name() == "builtin.parameter":
|
|
name = v.get_defining_op().attrs()["parameter_name"]
|
|
t = scope.find_var(name).get_tensor()
|
|
np.testing.assert_array_equal(t, param_dict[name])
|
|
|
|
def test_params_cpp(self):
|
|
with IrGuard():
|
|
prog = paddle.static.Program()
|
|
with paddle.static.program_guard(prog):
|
|
x = paddle.static.data(
|
|
name="static_x", shape=[None, IMAGE_SIZE], dtype='float32'
|
|
)
|
|
z = paddle.static.nn.fc(x, 10)
|
|
z = paddle.static.nn.fc(z, 10, bias_attr=False)
|
|
loss = paddle.mean(z)
|
|
opt = Adam(learning_rate=1e-3)
|
|
opt.minimize(loss)
|
|
exe = paddle.static.Executor(self.place)
|
|
exe.run(paddle.static.default_startup_program())
|
|
fake_inputs = np.random.randn(2, IMAGE_SIZE).astype('float32')
|
|
exe.run(prog, feed={'static_x': fake_inputs}, fetch_list=[loss])
|
|
|
|
param_dict, opt_dict = self.get_params(prog)
|
|
# test save_func and load_func
|
|
save_dir = os.path.join(self.temp_dir.name, "save_params")
|
|
|
|
for k, v in param_dict.items():
|
|
path = os.path.join(save_dir, k, '.pdparams')
|
|
# test fp16
|
|
paddle.base.core.save_func(v, k, path, True, True)
|
|
tensor = param_dict[k]
|
|
tensor.set(np.zeros_like(np.array(tensor)), self.place)
|
|
paddle.base.core.load_func(
|
|
path,
|
|
-1,
|
|
[],
|
|
False,
|
|
tensor,
|
|
paddle.framework._current_expected_place_(),
|
|
)
|
|
np.testing.assert_array_equal(tensor, v)
|
|
|
|
for k, v in opt_dict.items():
|
|
path = os.path.join(save_dir, k, '.pdopt')
|
|
paddle.base.core.save_func(v, k, path, True, False)
|
|
tensor = opt_dict[k]
|
|
tensor.set(np.zeros_like(np.array(tensor)), self.place)
|
|
paddle.base.core.load_func(
|
|
path,
|
|
-1,
|
|
[],
|
|
False,
|
|
tensor,
|
|
paddle.framework._current_expected_place_(),
|
|
)
|
|
np.testing.assert_array_equal(tensor, v)
|
|
|
|
# test save_combine_func and load_combine_func
|
|
save_dir = os.path.join(
|
|
self.temp_dir.name, "save_combine_params"
|
|
)
|
|
path = os.path.join(save_dir, 'demo.pdiparams')
|
|
param_vec = list(param_dict.values())
|
|
paddle.base.core.save_combine_func(
|
|
param_vec, list(param_dict.keys()), path, True, False, False
|
|
)
|
|
param_new = []
|
|
for tensor in param_vec:
|
|
tensor.set(np.zeros_like(np.array(tensor)), self.place)
|
|
param_new.append(tensor)
|
|
paddle.base.core.load_combine_func(
|
|
path,
|
|
list(param_dict.keys()),
|
|
param_new,
|
|
False,
|
|
paddle.framework._current_expected_place_(),
|
|
)
|
|
np.testing.assert_equal(param_new, param_vec)
|
|
# save to memory
|
|
paddle.base.core.save_combine_func(
|
|
param_vec, list(param_dict.keys()), path, True, False, True
|
|
)
|
|
# save as fp16
|
|
paddle.base.core.save_combine_func(
|
|
param_vec, list(param_dict.keys()), path, True, True, False
|
|
)
|
|
# load as fp16
|
|
paddle.base.core.load_combine_func(
|
|
path,
|
|
list(param_dict.keys()),
|
|
param_new,
|
|
True,
|
|
paddle.framework._current_expected_place_(),
|
|
)
|
|
|
|
# test save_vars
|
|
path_prefix = os.path.join(save_dir, 'new')
|
|
params_path = path_prefix + ".pdiparams"
|
|
if os.path.isdir(params_path):
|
|
raise ValueError(
|
|
f"'{params_path}' is an existing directory."
|
|
)
|
|
|
|
save_dirname = os.path.dirname(params_path)
|
|
params_filename = os.path.basename(params_path)
|
|
# test combine
|
|
paddle.static.io.save_vars(
|
|
executor=exe,
|
|
dirname=save_dirname,
|
|
main_program=prog,
|
|
filename=params_filename,
|
|
)
|
|
# test separate
|
|
paddle.static.io.save_vars(
|
|
executor=exe,
|
|
dirname=save_dirname,
|
|
main_program=prog,
|
|
)
|
|
# test load_vars
|
|
load_dirname = os.path.dirname(params_path)
|
|
load_filename = os.path.basename(params_path)
|
|
# test combine
|
|
paddle.static.io.load_vars(
|
|
executor=exe,
|
|
dirname=load_dirname,
|
|
main_program=prog,
|
|
filename=load_filename,
|
|
)
|
|
# test separate
|
|
paddle.static.io.load_vars(
|
|
executor=exe,
|
|
dirname=load_dirname,
|
|
main_program=prog,
|
|
)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|