wehub-resource-sync
118 lines
4.0 KiB
Python
118 lines
4.0 KiB
Python
# Copyright (c) 2025 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
|
|
from op_test import get_device_place
|
|
|
|
import paddle
|
|
|
|
|
|
@unittest.skipIf(
|
|
not paddle.core.is_compiled_with_cuda(),
|
|
"core is not compiled with CUDA",
|
|
)
|
|
class TestFastCPUCopy1(unittest.TestCase):
|
|
def setUp(self):
|
|
self.input_np_a = np.random.random((2048, 192 * 4)).astype(np.float32)
|
|
self.input_np_b = np.random.random((128, 192, 2048)).astype(np.float32)
|
|
self.input_dtype = 'float32'
|
|
paddle.device.set_device("cpu")
|
|
self.pd_cpu_tmp = paddle.to_tensor(self.input_np_a)
|
|
paddle.device.set_device("gpu:0")
|
|
self.pd_gpu_tmp = paddle.to_tensor(self.input_np_b)
|
|
|
|
def check_dygraph_result(self, place):
|
|
paddle.device.set_device("gpu:0")
|
|
pd_cpu_b = self.pd_cpu_tmp.narrow(1, 0, 192)
|
|
pd_cpu_b = pd_cpu_b.transpose([1, 0])
|
|
pd_param = self.pd_gpu_tmp[3]
|
|
pd_param.copy_(pd_cpu_b)
|
|
|
|
np_cpu_b = self.input_np_a[:, 0:192].transpose(1, 0)
|
|
np_gpu_param = self.input_np_b[3]
|
|
np_gpu_param = np_cpu_b
|
|
|
|
np.testing.assert_allclose(np_cpu_b, pd_cpu_b.numpy())
|
|
np.testing.assert_allclose(np_gpu_param, pd_param.cpu().numpy())
|
|
|
|
def test_dygraph(self):
|
|
self.check_dygraph_result(place=get_device_place())
|
|
|
|
|
|
@unittest.skipIf(
|
|
not paddle.core.is_compiled_with_cuda(),
|
|
"core is not compiled with CUDA",
|
|
)
|
|
class TestFastCPUCopy2(unittest.TestCase):
|
|
def setUp(self):
|
|
self.input_np_a = np.random.random((2048, 192 * 4)).astype(np.float32)
|
|
self.input_np_b = np.random.random((128, 2048, 192)).astype(np.float32)
|
|
self.input_dtype = 'float32'
|
|
paddle.device.set_device("cpu")
|
|
self.pd_cpu_tmp = paddle.to_tensor(self.input_np_a)
|
|
paddle.device.set_device("gpu:0")
|
|
self.pd_gpu_tmp = paddle.to_tensor(self.input_np_b)
|
|
|
|
def check_dygraph_result(self, place):
|
|
paddle.device.set_device("gpu:0")
|
|
pd_cpu_b = self.pd_cpu_tmp.narrow(0, 0, 192)
|
|
pd_cpu_b = pd_cpu_b.transpose([1, 0])
|
|
pd_param = self.pd_gpu_tmp[3]
|
|
|
|
pd_param.copy_(pd_cpu_b)
|
|
|
|
np_cpu_b = self.input_np_a[0:192, :].transpose(1, 0)
|
|
np_gpu_param = self.input_np_b[3]
|
|
np_gpu_param[0:768, :] = np_cpu_b
|
|
|
|
np.testing.assert_allclose(np_cpu_b, pd_cpu_b.numpy())
|
|
np.testing.assert_allclose(np_gpu_param, pd_param.cpu().numpy())
|
|
|
|
def test_dygraph(self):
|
|
self.check_dygraph_result(place=get_device_place())
|
|
|
|
|
|
@unittest.skipIf(
|
|
not paddle.core.is_compiled_with_cuda(),
|
|
"core is not compiled with CUDA",
|
|
)
|
|
class TestFastCPUCopy3(unittest.TestCase):
|
|
def setUp(self):
|
|
src_shape = [2, 2]
|
|
tgt_shape = [2, 4]
|
|
# self.input_np_a = np.random.random((2,2)).astype(np.float32)
|
|
# self.input_np_b = np.random.random((2,4)).astype(np.float32)
|
|
self.input_dtype = 'float32'
|
|
paddle.device.set_device("cpu")
|
|
self.src_cpu = paddle.ones(src_shape, dtype="float32")
|
|
paddle.device.set_device("gpu:0")
|
|
self.dst_gpu = paddle.zeros(tgt_shape, dtype="float32")
|
|
|
|
def check_dygraph_result(self, place):
|
|
paddle.device.set_device("gpu:0")
|
|
tmp_dst_gpu = self.dst_gpu[..., :2]
|
|
tmp_dst_gpu.copy_(self.src_cpu)
|
|
tmo_dst_gpu1 = self.dst_gpu[..., 2:]
|
|
tmo_dst_gpu1.copy_(self.src_cpu)
|
|
np.testing.assert_allclose(self.dst_gpu.numpy(), 1.0)
|
|
|
|
def test_dygraph(self):
|
|
self.check_dygraph_result(place=get_device_place())
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|