forked from mindspore-Ecosystem/mindspore
45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
# Copyright 2019 Huawei Technologies Co., Ltd
|
|
#
|
|
# 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 numpy as np
|
|
|
|
import mindspore.nn as nn
|
|
from mindspore import Tensor
|
|
from mindspore.common.api import _executor
|
|
from mindspore.ops import operations as P
|
|
from mindspore.ops.operations.comm_ops import _VirtualDataset
|
|
|
|
|
|
class VirtualDatasetNet(nn.Cell):
|
|
def __init__(self):
|
|
super(VirtualDatasetNet, self).__init__()
|
|
self.virtual_dataset = _VirtualDataset()
|
|
self.matmul1 = P.MatMul()
|
|
self.matmul2 = P.MatMul()
|
|
self.gelu = P.Gelu()
|
|
|
|
def construct(self, x, y, z):
|
|
x, y, z = self.virtual_dataset(x, y, z)
|
|
out = self.gelu(self.matmul1(x, y))
|
|
out = self.matmul2(out, z)
|
|
return out
|
|
|
|
|
|
def test_virtual_dataset():
|
|
x = Tensor(np.ones([128, 32], dtype=np.float32))
|
|
y = Tensor(np.ones([32, 64], dtype=np.float32))
|
|
z = Tensor(np.ones([64, 64], dtype=np.float32))
|
|
network = VirtualDatasetNet()
|
|
_executor.compile(network, x, y, z)
|