wehub-resource-sync
74 lines
2.9 KiB
Python
74 lines
2.9 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 unittest
|
|
|
|
import numpy as np
|
|
|
|
import paddle
|
|
|
|
paddle.enable_static()
|
|
|
|
|
|
class TestTRTUtils(unittest.TestCase):
|
|
def test_collect_shape(self):
|
|
paddle.framework.set_flags({"FLAGS_enable_collect_shape": True})
|
|
with paddle.pir_utils.IrGuard():
|
|
main_program = paddle.static.Program()
|
|
with paddle.static.program_guard(main_program):
|
|
x = paddle.static.data('x', [4, 4], dtype='float32')
|
|
y = paddle.static.data('y', [4, 4], dtype='float32')
|
|
divide_out = paddle.divide(x, y)
|
|
sum_out = paddle.sum(divide_out)
|
|
exe = paddle.static.Executor()
|
|
x_feed = np.ones([4, 4], dtype=np.float32) * 10
|
|
y_feed = np.ones([4, 4], dtype=np.float32) * 2
|
|
(sum_value,) = exe.run(
|
|
main_program,
|
|
feed={'x': x_feed, 'y': y_feed},
|
|
fetch_list=[sum_out],
|
|
)
|
|
|
|
# program, _, _ = exe._executor_cache.get_pir_program_and_executor(
|
|
# main_program,
|
|
# feed={'x': x_feed, 'y': y_feed},,
|
|
# fetch_list=[sum_out],
|
|
# feed_var_name='feed',
|
|
# fetch_var_name='fetch',
|
|
# place=paddle.framework._current_expected_place_(),
|
|
# scope=global_scope(),
|
|
# plan=None,
|
|
# )
|
|
|
|
# divide_out_min_shape = paddle.base.core.get_value_shape_range_info(
|
|
# divide_out, False, paddle.base.core.ShapeMode.kMIN
|
|
# )
|
|
# divide_out_max_shape = paddle.base.core.get_value_shape_range_info(
|
|
# divide_out, False, paddle.base.core.ShapeMode.kMAX
|
|
# )
|
|
# divide_out_opt_shape = paddle.base.core.get_value_shape_range_info(
|
|
# divide_out, False, paddle.base.core.ShapeMode.kOPT
|
|
# )
|
|
# self.assertEqual(len(divide_out_min_shape), 2)
|
|
# self.assertEqual(len(divide_out_max_shape), 2)
|
|
# self.assertEqual(len(divide_out_opt_shape), 2)
|
|
# self.assertEqual(divide_out_min_shape[0], 4)
|
|
# self.assertEqual(divide_out_max_shape[0], 4)
|
|
# self.assertEqual(divide_out_opt_shape[0], 4)
|
|
paddle.framework.set_flags({"FLAGS_enable_collect_shape": False})
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|