forked from mindspore-Ecosystem/mindspore
101 lines
2.9 KiB
Python
101 lines
2.9 KiB
Python
# Copyright 2022 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 pytest
|
|
import mindspore
|
|
from mindspore import context, ops, nn, Tensor
|
|
|
|
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super().__init__()
|
|
self.reshape = ops.Reshape()
|
|
|
|
def construct(self, x, y, z):
|
|
a = x + y
|
|
b = self.reshape(a, (3, 2))
|
|
c = self.reshape(z, (3, 2))
|
|
return b + c
|
|
|
|
|
|
@pytest.mark.level0
|
|
@pytest.mark.platform_x86_cpu
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.env_onecard
|
|
def test_eliminate_nopnode():
|
|
"""
|
|
Feature: eliminate nopnode.
|
|
Description: base scene.
|
|
Expectation: No exception.
|
|
"""
|
|
context.set_context(mode=context.GRAPH_MODE)
|
|
x = Tensor(np.ones([6, 1]), mindspore.float32)
|
|
y = Tensor(np.ones([6, 1]), mindspore.float32)
|
|
z = Tensor(np.ones([6, 1]), mindspore.float32)
|
|
net = Net()
|
|
out = net(x, y, z)
|
|
assert out.shape == (3, 2)
|
|
|
|
|
|
class NetWithNopNodeOutput(nn.Cell):
|
|
def __init__(self):
|
|
super().__init__()
|
|
self.reshape = ops.Reshape()
|
|
|
|
def construct(self, x, y):
|
|
a = x + y
|
|
return self.reshape(a, (3, 2))
|
|
|
|
|
|
@pytest.mark.level0
|
|
@pytest.mark.platform_x86_cpu
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.env_onecard
|
|
def test_nopnode_output():
|
|
"""
|
|
Feature: eliminate nopnode.
|
|
Description: base scene.
|
|
Expectation: No exception.
|
|
"""
|
|
context.set_context(mode=context.GRAPH_MODE)
|
|
x = Tensor(np.ones([6, 1]), mindspore.float32)
|
|
y = Tensor(np.ones([6, 1]), mindspore.float32)
|
|
net = NetWithNopNodeOutput()
|
|
out = net(x, y)
|
|
assert out.shape == (3, 2)
|
|
|
|
|
|
@pytest.mark.level0
|
|
@pytest.mark.platform_x86_cpu
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.env_onecard
|
|
def test_nopnode_dynamic_shape():
|
|
"""
|
|
Feature: eliminate nopnode.
|
|
Description: base scene.
|
|
Expectation: No exception.
|
|
"""
|
|
context.set_context(mode=context.GRAPH_MODE)
|
|
x_dyn = Tensor(shape=[6, None], dtype=mindspore.float32)
|
|
y_dyn = Tensor(shape=[6, None], dtype=mindspore.float32)
|
|
z_dyn = Tensor(shape=[6, None], dtype=mindspore.float32)
|
|
net = Net()
|
|
net.set_inputs(x_dyn, y_dyn, z_dyn)
|
|
x = Tensor(np.ones([6, 1]), mindspore.float32)
|
|
y = Tensor(np.ones([6, 1]), mindspore.float32)
|
|
z = Tensor(np.ones([6, 1]), mindspore.float32)
|
|
out = net(x, y, z)
|
|
assert out.shape == (3, 2)
|