mindspore/tests/st/ops/graph_kernel/test_reduce_sum.py

59 lines
1.9 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.ops as ops
from mindspore import context, Tensor
from mindspore.nn import Cell
class ReduceNet(Cell):
def __init__(self):
super(ReduceNet, self).__init__()
self.add = ops.Add()
self.sum = ops.ReduceSum()
def construct(self, x, y, axis):
z = self.add(x, y)
return self.sum(z, axis)
def run_case():
np.random.seed(1)
x = np.random.normal(0, 1, [1024, 1024]).astype(np.float32)
y = np.random.normal(0, 1, [1024, 1024]).astype(np.float32)
expect = np.sum(x + y, axis=(0,))
net = ReduceNet()
output = net(Tensor(x), Tensor(y), 0)
assert np.allclose(expect, output.asnumpy(), 1.e-4, 1.e-4, equal_nan=True)
@pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_ascend_training
@pytest.mark.env_onecard
def test_reduce():
"""
Feature: test reduce sum with enable_graph_kernel=True
Description: reduce sum with InplaceAssign
Expectation: the result match with numpy result
"""
context.set_context(mode=context.GRAPH_MODE, device_target="Ascend",
enable_graph_kernel=True,
graph_kernel_flags="--enable_cluster_ops=ReduceSum")
run_case()