wehub-resource-sync
110 lines
3.5 KiB
Python
110 lines
3.5 KiB
Python
# Copyright (c) 2020 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.
|
|
"""
|
|
TestCases for Monitor
|
|
"""
|
|
|
|
import paddle
|
|
|
|
paddle.enable_static()
|
|
|
|
import os
|
|
import tempfile
|
|
import unittest
|
|
|
|
from paddle import base
|
|
from paddle.base import core
|
|
|
|
|
|
class TestDatasetWithStat(unittest.TestCase):
|
|
"""TestCases for Dataset."""
|
|
|
|
def setUp(self):
|
|
self.use_data_loader = False
|
|
self.epoch_num = 10
|
|
self.drop_last = False
|
|
|
|
def test_dataset_run_with_stat(self):
|
|
temp_dir = tempfile.TemporaryDirectory()
|
|
path_a = os.path.join(temp_dir.name, "test_in_memory_dataset_run_a.txt")
|
|
path_b = os.path.join(temp_dir.name, "test_in_memory_dataset_run_b.txt")
|
|
with open(path_a, "w") as f:
|
|
data = "1 1 2 3 3 4 5 5 5 5 1 1\n"
|
|
data += "1 2 2 3 4 4 6 6 6 6 1 2\n"
|
|
data += "1 3 2 3 5 4 7 7 7 7 1 3\n"
|
|
f.write(data)
|
|
with open(path_b, "w") as f:
|
|
data = "1 4 2 3 3 4 5 5 5 5 1 4\n"
|
|
data += "1 5 2 3 4 4 6 6 6 6 1 5\n"
|
|
data += "1 6 2 3 5 4 7 7 7 7 1 6\n"
|
|
data += "1 7 2 3 6 4 8 8 8 8 1 7\n"
|
|
f.write(data)
|
|
|
|
slots = ["slot1", "slot2", "slot3", "slot4"]
|
|
slots_vars = []
|
|
for slot in slots:
|
|
var = paddle.static.data(name=slot, shape=[-1, 1], dtype="int64")
|
|
slots_vars.append(var)
|
|
|
|
embs = []
|
|
for x in slots_vars:
|
|
emb = paddle.nn.Embedding(
|
|
num_embeddings=100001, embedding_dim=4, sparse=True
|
|
)(x)
|
|
embs.append(emb)
|
|
|
|
dataset = paddle.distributed.InMemoryDataset()
|
|
dataset._set_batch_size(32)
|
|
dataset._set_thread(3)
|
|
dataset.set_filelist([path_a, path_b])
|
|
dataset._set_pipe_command("cat")
|
|
dataset._set_use_var(slots_vars)
|
|
dataset.load_into_memory()
|
|
dataset._set_fea_eval(1, True)
|
|
dataset.slots_shuffle(["slot1"])
|
|
|
|
exe = base.Executor(base.CPUPlace())
|
|
exe.run(base.default_startup_program())
|
|
if self.use_data_loader:
|
|
data_loader = base.io.DataLoader.from_dataset(
|
|
dataset, base.cpu_places(), self.drop_last
|
|
)
|
|
for i in range(self.epoch_num):
|
|
for data in data_loader():
|
|
exe.run(base.default_main_program(), feed=data)
|
|
|
|
else:
|
|
for i in range(self.epoch_num):
|
|
try:
|
|
exe.train_from_dataset(
|
|
base.default_main_program(),
|
|
dataset,
|
|
fetch_list=[embs[0], embs[1]],
|
|
fetch_info=["emb0", "emb1"],
|
|
print_period=1,
|
|
)
|
|
|
|
except Exception as e:
|
|
self.assertTrue(False)
|
|
|
|
int_stat = core.get_int_stats()
|
|
# total 56 keys
|
|
print(int_stat["STAT_total_feasign_num_in_mem"])
|
|
|
|
temp_dir.cleanup()
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|