wehub-resource-sync
290 lines
10 KiB
Python
290 lines
10 KiB
Python
# Copyright (c) 2022 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 OpTest, get_device_place, is_custom_device
|
|
|
|
import paddle
|
|
from paddle.base import core
|
|
|
|
|
|
def compute_graph_send_uv(inputs, attributes):
|
|
x = inputs['x']
|
|
y = inputs['y']
|
|
src_index = inputs['src_index']
|
|
dst_index = inputs['dst_index']
|
|
message_op = attributes['message_op']
|
|
|
|
gather_x = x[src_index]
|
|
gather_y = y[dst_index]
|
|
|
|
# Calculate forward output.
|
|
if message_op == "ADD":
|
|
results = gather_x + gather_y
|
|
elif message_op == "MUL":
|
|
results = gather_x * gather_y
|
|
|
|
return results
|
|
|
|
|
|
def graph_send_uv_wrapper(x, y, src_index, dst_index, message_op="add"):
|
|
return paddle.geometric.send_uv(
|
|
x, y, src_index, dst_index, message_op.lower()
|
|
)
|
|
|
|
|
|
class TestGraphSendUVOp(OpTest):
|
|
def setUp(self):
|
|
paddle.enable_static()
|
|
self.python_api = graph_send_uv_wrapper
|
|
self.python_out_sig = ['out']
|
|
self.op_type = "graph_send_uv"
|
|
self.set_config()
|
|
self.inputs = {
|
|
'x': self.x,
|
|
'y': self.y,
|
|
'src_index': self.src_index,
|
|
'dst_index': self.dst_index,
|
|
}
|
|
self.attrs = {'message_op': self.message_op}
|
|
out = compute_graph_send_uv(self.inputs, self.attrs)
|
|
self.outputs = {'out': out}
|
|
|
|
def test_check_output(self):
|
|
self.check_output(check_pir=True)
|
|
|
|
def test_check_grad(self):
|
|
self.check_grad(['x', 'y'], 'out', check_pir=True)
|
|
|
|
def set_config(self):
|
|
self.x = np.random.random((10, 20)).astype("float64")
|
|
self.y = np.random.random((10, 20)).astype("float64")
|
|
index = np.random.randint(0, 10, (15, 2)).astype(np.int64)
|
|
self.src_index = index[:, 0]
|
|
self.dst_index = index[:, 1]
|
|
self.message_op = 'ADD'
|
|
|
|
|
|
class TestCase1(TestGraphSendUVOp):
|
|
def set_config(self):
|
|
self.x = np.random.random((10, 20)).astype("float64")
|
|
self.y = np.random.random((10, 20)).astype("float64")
|
|
index = np.random.randint(0, 10, (15, 2)).astype(np.int64)
|
|
self.src_index = index[:, 0]
|
|
self.dst_index = index[:, 1]
|
|
self.message_op = 'MUL'
|
|
|
|
|
|
class TestCase2(TestGraphSendUVOp):
|
|
def set_config(self):
|
|
self.x = np.random.random((100, 1)).astype("float64")
|
|
self.y = np.random.random((100, 20)).astype("float64")
|
|
index = np.random.randint(0, 100, (15, 2)).astype(np.int64)
|
|
self.src_index = index[:, 0]
|
|
self.dst_index = index[:, 1]
|
|
self.message_op = 'ADD'
|
|
|
|
|
|
class TestCase3(TestGraphSendUVOp):
|
|
def set_config(self):
|
|
self.x = np.random.random((100, 20)).astype("float64")
|
|
self.y = np.random.random((100, 1)).astype("float64")
|
|
index = np.random.randint(0, 100, (15, 2)).astype(np.int64)
|
|
self.src_index = index[:, 0]
|
|
self.dst_index = index[:, 1]
|
|
self.message_op = 'ADD'
|
|
|
|
|
|
class TestCase4(TestGraphSendUVOp):
|
|
def set_config(self):
|
|
self.x = np.random.random((100, 1)).astype("float64")
|
|
self.y = np.random.random((100, 20)).astype("float64")
|
|
index = np.random.randint(0, 100, (15, 2)).astype(np.int64)
|
|
self.src_index = index[:, 0]
|
|
self.dst_index = index[:, 1]
|
|
self.message_op = 'MUL'
|
|
|
|
|
|
class TestCase5(TestGraphSendUVOp):
|
|
def set_config(self):
|
|
self.x = np.random.random((100, 20)).astype("float64")
|
|
self.y = np.random.random((100, 1)).astype("float64")
|
|
index = np.random.randint(0, 100, (15, 2)).astype(np.int64)
|
|
self.src_index = index[:, 0]
|
|
self.dst_index = index[:, 1]
|
|
self.message_op = 'MUL'
|
|
|
|
|
|
class TestCase6(TestGraphSendUVOp):
|
|
def set_config(self):
|
|
self.x = np.random.random((10, 10, 1)).astype("float64")
|
|
self.y = np.random.random((10, 10, 10))
|
|
index = np.random.randint(0, 10, (15, 2)).astype(np.int64)
|
|
self.src_index = index[:, 0]
|
|
self.dst_index = index[:, 1]
|
|
self.message_op = 'ADD'
|
|
|
|
|
|
class TestCase7(TestGraphSendUVOp):
|
|
def set_config(self):
|
|
self.x = np.random.random((10, 10, 1)).astype("float64")
|
|
self.y = np.random.random((10, 10, 10))
|
|
index = np.random.randint(0, 10, (15, 2)).astype(np.int64)
|
|
self.src_index = index[:, 0]
|
|
self.dst_index = index[:, 1]
|
|
self.message_op = 'MUL'
|
|
|
|
|
|
class TestCase8_ZeroSize(TestGraphSendUVOp):
|
|
def set_config(self):
|
|
self.x = np.random.random((100, 0)).astype("float64")
|
|
self.y = np.random.random((100, 0)).astype("float64")
|
|
index = np.random.randint(0, 100, (15, 2)).astype(np.int64)
|
|
self.src_index = index[:, 0]
|
|
self.dst_index = index[:, 1]
|
|
self.message_op = 'ADD'
|
|
|
|
def test_check_output(self):
|
|
self.check_output_with_place(core.CPUPlace(), check_pir=True)
|
|
if paddle.is_compiled_with_cuda() or is_custom_device():
|
|
self.check_output_with_place(get_device_place(), check_pir=True)
|
|
|
|
def test_check_grad(self):
|
|
self.check_grad_with_place(
|
|
core.CPUPlace(), ['x', 'y'], 'out', check_pir=True
|
|
)
|
|
if paddle.is_compiled_with_cuda() or is_custom_device():
|
|
self.check_grad_with_place(
|
|
get_device_place(), ['x', 'y'], 'out', check_pir=True
|
|
)
|
|
|
|
|
|
class API_GeometricSendUVTest(unittest.TestCase):
|
|
def test_compute_all_dygraph(self):
|
|
paddle.disable_static()
|
|
x = paddle.to_tensor([[0, 2, 3], [1, 4, 5], [2, 6, 7]], dtype="float32")
|
|
y = paddle.to_tensor([[1, 1, 2], [2, 3, 4], [4, 5, 6]], dtype="float32")
|
|
src_index = paddle.to_tensor(np.array([0, 1, 2, 0]), dtype="int32")
|
|
dst_index = paddle.to_tensor(np.array([1, 2, 1, 0]), dtype="int32")
|
|
|
|
res_add = paddle.geometric.send_uv(
|
|
x, y, src_index, dst_index, message_op="add"
|
|
)
|
|
res_sub = paddle.geometric.send_uv(
|
|
x, y, src_index, dst_index, message_op="sub"
|
|
)
|
|
res_mul = paddle.geometric.send_uv(
|
|
x, y, src_index, dst_index, message_op="mul"
|
|
)
|
|
res_div = paddle.geometric.send_uv(
|
|
x, y, src_index, dst_index, message_op="div"
|
|
)
|
|
res = [res_add, res_sub, res_mul, res_div]
|
|
|
|
np_add = np.array(
|
|
[[2, 5, 7], [5, 9, 11], [4, 9, 11], [1, 3, 5]], dtype="float32"
|
|
)
|
|
np_sub = np.array(
|
|
[[-2, -1, -1], [-3, -1, -1], [0, 3, 3], [-1, 1, 1]], dtype="float32"
|
|
)
|
|
np_mul = np.array(
|
|
[[0, 6, 12], [4, 20, 30], [4, 18, 28], [0, 2, 6]], dtype="float32"
|
|
)
|
|
np_div = np.array(
|
|
[[0, 2 / 3, 0.75], [0.25, 0.8, 5 / 6], [1, 2, 7 / 4], [0, 2, 1.5]],
|
|
dtype="float32",
|
|
)
|
|
|
|
for np_res, paddle_res in zip([np_add, np_sub, np_mul, np_div], res):
|
|
np.testing.assert_allclose(
|
|
np_res,
|
|
paddle_res,
|
|
rtol=1e-05,
|
|
atol=1e-06,
|
|
err_msg=f'two value is {np_res}\n{paddle_res}, check diff!',
|
|
)
|
|
|
|
def test_compute_all_static(self):
|
|
paddle.enable_static()
|
|
with paddle.static.program_guard(paddle.static.Program()):
|
|
x = paddle.static.data(name="x", shape=[3, 3], dtype="float32")
|
|
y = paddle.static.data(name="y", shape=[3, 3], dtype="float32")
|
|
src_index = paddle.static.data(name="src", shape=[4], dtype="int32")
|
|
dst_index = paddle.static.data(name="dst", shape=[4], dtype="int32")
|
|
res_add = paddle.geometric.send_uv(
|
|
x, y, src_index, dst_index, message_op="add"
|
|
)
|
|
res_sub = paddle.geometric.send_uv(
|
|
x, y, src_index, dst_index, message_op="sub"
|
|
)
|
|
res_mul = paddle.geometric.send_uv(
|
|
x, y, src_index, dst_index, message_op="mul"
|
|
)
|
|
res_div = paddle.geometric.send_uv(
|
|
x, y, src_index, dst_index, message_op="div"
|
|
)
|
|
|
|
exe = paddle.static.Executor(paddle.CPUPlace())
|
|
data1 = np.array([[0, 2, 3], [1, 4, 5], [2, 6, 7]], dtype="float32")
|
|
data2 = np.array([[1, 1, 2], [2, 3, 4], [4, 5, 6]], dtype="float32")
|
|
data3 = np.array([0, 1, 2, 0], dtype="int32")
|
|
data4 = np.array([1, 2, 1, 0], dtype="int32")
|
|
|
|
np_add = np.array(
|
|
[[2, 5, 7], [5, 9, 11], [4, 9, 11], [1, 3, 5]], dtype="float32"
|
|
)
|
|
np_sub = np.array(
|
|
[[-2, -1, -1], [-3, -1, -1], [0, 3, 3], [-1, 1, 1]],
|
|
dtype="float32",
|
|
)
|
|
np_mul = np.array(
|
|
[[0, 6, 12], [4, 20, 30], [4, 18, 28], [0, 2, 6]],
|
|
dtype="float32",
|
|
)
|
|
np_div = np.array(
|
|
[
|
|
[0, 2 / 3, 0.75],
|
|
[0.25, 0.8, 5 / 6],
|
|
[1, 2, 7 / 4],
|
|
[0, 2, 1.5],
|
|
],
|
|
dtype="float32",
|
|
)
|
|
|
|
ret = exe.run(
|
|
feed={
|
|
'x': data1,
|
|
'y': data2,
|
|
'src': data3,
|
|
'dst': data4,
|
|
},
|
|
fetch_list=[res_add, res_sub, res_mul, res_div],
|
|
)
|
|
for np_res, paddle_res in zip(
|
|
[np_add, np_sub, np_mul, np_div], ret
|
|
):
|
|
np.testing.assert_allclose(
|
|
np_res,
|
|
paddle_res,
|
|
rtol=1e-05,
|
|
atol=1e-06,
|
|
err_msg=f'two value is {np_res}\n{paddle_res}, check diff!',
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|