wehub-resource-sync
125 lines
3.3 KiB
Python
125 lines
3.3 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
|
|
import utils
|
|
|
|
import paddle
|
|
from paddle.static import InputSpec
|
|
|
|
|
|
class TestGridReduce(unittest.TestCase):
|
|
def eval(self, dy_compute, init_inputs, input_spec=None):
|
|
paddle.seed(2024)
|
|
inputs = init_inputs()
|
|
dy_out = dy_compute(*inputs)
|
|
|
|
static_compute = utils.apply_to_static(
|
|
dy_compute, use_cinn=True, input_spec=input_spec
|
|
)
|
|
st_out = static_compute(*inputs)
|
|
|
|
for a, b in zip(
|
|
paddle.utils.flatten(dy_out), paddle.utils.flatten(st_out)
|
|
):
|
|
numpy.testing.assert_allclose(a, b, atol=1e-3, rtol=1e-4)
|
|
|
|
def test_all_reduce(self):
|
|
def func(x):
|
|
return paddle.sum(x)
|
|
|
|
def init():
|
|
x = paddle.randn([32, 128, 256])
|
|
return (x,)
|
|
|
|
self.eval(func, init)
|
|
|
|
def test_continuous_reduce(self):
|
|
def func(x):
|
|
return paddle.sum(x, axis=(0, 2, 3))
|
|
|
|
def init():
|
|
x = paddle.randn([64, 8, 56, 56])
|
|
return (x,)
|
|
|
|
self.eval(func, init)
|
|
|
|
def test_discrete_reduce(self):
|
|
def func(x):
|
|
return paddle.sum(x, axis=(0, 1, 2))
|
|
|
|
def init():
|
|
x = paddle.randn([256, 28, 28, 80])
|
|
return (x,)
|
|
|
|
self.eval(func, init)
|
|
|
|
def test_multiple_reduce(self):
|
|
def func(x):
|
|
n = 512 * 14 * 14
|
|
sum_x = paddle.sum(x, axis=(0, 2, 3))
|
|
sum_x2 = paddle.sum(x * x, axis=(0, 2, 3))
|
|
mean_x = sum_x / n
|
|
mean_x2 = sum_x2 / n
|
|
mean_x_2 = mean_x * mean_x
|
|
return mean_x2 - mean_x_2
|
|
|
|
def init():
|
|
x = paddle.randn([512, 8, 14, 14])
|
|
return (x,)
|
|
|
|
self.eval(func, init)
|
|
|
|
def test_multiple_downstream(self):
|
|
def func(a, b):
|
|
a = paddle.sum(a, axis=(0, 1))
|
|
return a, a + b
|
|
|
|
def init():
|
|
a = paddle.randn([400, 300, 20, 10])
|
|
b = paddle.randn([20, 10])
|
|
return a, b
|
|
|
|
self.eval(func, init)
|
|
|
|
def test_continuous_reduce_dynamic_rd(self):
|
|
def func(x):
|
|
return paddle.sum(x, axis=(0, 2, 3))
|
|
|
|
def init():
|
|
x = paddle.randn([500, 3, 20, 20])
|
|
return (x,)
|
|
|
|
input_spec = [InputSpec([-1, 3, -1, -1])]
|
|
|
|
self.eval(func, init, input_spec)
|
|
|
|
def test_discrete_reduce_dynamic_rd(self):
|
|
def func(x):
|
|
return paddle.sum(x, axis=(0, 1, 2))
|
|
|
|
def init():
|
|
x = paddle.randn([96, 15, 20, 100])
|
|
return (x,)
|
|
|
|
input_spec = [InputSpec([96, -1, -1, 100])]
|
|
|
|
self.eval(func, init, input_spec)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|