You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
204 lines
7.8 KiB
204 lines
7.8 KiB
/**
|
|
* Copyright 2020 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.
|
|
*/
|
|
#include <vector>
|
|
#include <memory>
|
|
#include "common/common_test.h"
|
|
#include "ops/strided_slice.h"
|
|
#include "ir/dtype/type.h"
|
|
#include "ir/value.h"
|
|
#include "abstract/dshape.h"
|
|
#include "utils/tensor_construct_utils.h"
|
|
|
|
namespace mindspore {
|
|
namespace ops {
|
|
namespace {
|
|
template <typename T>
|
|
void SetTensorData(void *data, std::vector<T> num) {
|
|
MS_EXCEPTION_IF_NULL(data);
|
|
auto tensor_data = reinterpret_cast<T *>(data);
|
|
MS_EXCEPTION_IF_NULL(tensor_data);
|
|
for (size_t index = 0; index < num.size(); ++index) {
|
|
*tensor_data = num[index];
|
|
}
|
|
}
|
|
} // namespace
|
|
class TestStridedSlice : public UT::Common {
|
|
public:
|
|
TestStridedSlice() {}
|
|
void SetUp() {}
|
|
void TearDown() {}
|
|
};
|
|
|
|
TEST_F(TestStridedSlice, test_ops_stridedslice1) {
|
|
auto stridedslice = std::make_shared<StridedSlice>();
|
|
stridedslice->Init(0, 0, 0, 0, 0);
|
|
EXPECT_EQ(stridedslice->get_begin_mask(), 0);
|
|
EXPECT_EQ(stridedslice->get_end_mask(), 0);
|
|
EXPECT_EQ(stridedslice->get_ellipsis_mask(), 0);
|
|
EXPECT_EQ(stridedslice->get_new_axis_mask(), 0);
|
|
EXPECT_EQ(stridedslice->get_shrink_axis_mask(), 0);
|
|
auto tensor_x = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{3, 3, 3});
|
|
auto begin = MakeValue(std::vector<int64_t>{1, 0, 0});
|
|
auto end = MakeValue(std::vector<int64_t>{2, 1, 3});
|
|
auto strides = MakeValue(std::vector<int64_t>{1, 1, 1});
|
|
MS_EXCEPTION_IF_NULL(tensor_x);
|
|
MS_EXCEPTION_IF_NULL(begin);
|
|
MS_EXCEPTION_IF_NULL(end);
|
|
MS_EXCEPTION_IF_NULL(strides);
|
|
auto abstract =
|
|
stridedslice->Infer({tensor_x->ToAbstract(), begin->ToAbstract(), end->ToAbstract(), strides->ToAbstract()});
|
|
MS_EXCEPTION_IF_NULL(abstract);
|
|
EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true);
|
|
auto shape_ptr = abstract->BuildShape();
|
|
MS_EXCEPTION_IF_NULL(shape_ptr);
|
|
EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
|
|
auto shape = shape_ptr->cast<abstract::ShapePtr>();
|
|
MS_EXCEPTION_IF_NULL(shape);
|
|
auto shape_vec = shape->shape();
|
|
auto type = abstract->BuildType();
|
|
MS_EXCEPTION_IF_NULL(type);
|
|
EXPECT_EQ(type->isa<TensorType>(), true);
|
|
auto tensor_type = type->cast<TensorTypePtr>();
|
|
MS_EXCEPTION_IF_NULL(tensor_type);
|
|
auto data_type = tensor_type->element();
|
|
MS_EXCEPTION_IF_NULL(data_type);
|
|
EXPECT_EQ(data_type->type_id(), kNumberTypeFloat32);
|
|
EXPECT_EQ(shape_vec.size(), 3);
|
|
EXPECT_EQ(shape_vec[0], 1);
|
|
EXPECT_EQ(shape_vec[1], 1);
|
|
EXPECT_EQ(shape_vec[2], 3);
|
|
}
|
|
/*
|
|
TEST_F(TestStridedSlice, test_ops_stridedslice2) {
|
|
auto stridedslice = std::make_shared<StridedSlice>();
|
|
stridedslice->Init(0, 0, 0, 0, 0);
|
|
EXPECT_EQ(stridedslice->get_begin_mask(), 0);
|
|
EXPECT_EQ(stridedslice->get_end_mask(), 0);
|
|
EXPECT_EQ(stridedslice->get_ellipsis_mask(), 0);
|
|
EXPECT_EQ(stridedslice->get_new_axis_mask(), 0);
|
|
EXPECT_EQ(stridedslice->get_shrink_axis_mask(), 0);
|
|
auto tensor_x = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{3,3,3});
|
|
auto begin = MakeValue(std::vector<int64_t>{1,0,0});
|
|
auto end = MakeValue(std::vector<int64_t>{2,2,3});
|
|
auto strides =MakeValue(std::vector<int64_t>{1,1,1});
|
|
MS_EXCEPTION_IF_NULL(tensor_x);
|
|
MS_EXCEPTION_IF_NULL(begin);
|
|
MS_EXCEPTION_IF_NULL(end);
|
|
MS_EXCEPTION_IF_NULL(strides);
|
|
auto abstract =
|
|
stridedslice->Infer({tensor_x->ToAbstract(),begin->ToAbstract(),end->ToAbstract(),strides->ToAbstract()});
|
|
MS_EXCEPTION_IF_NULL(abstract);
|
|
EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true);
|
|
auto shape_ptr = abstract->BuildShape();
|
|
MS_EXCEPTION_IF_NULL(shape_ptr);
|
|
EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
|
|
auto shape = shape_ptr->cast<abstract::ShapePtr>();
|
|
MS_EXCEPTION_IF_NULL(shape);
|
|
auto shape_vec = shape->shape();
|
|
auto type = abstract->BuildType();
|
|
MS_EXCEPTION_IF_NULL(type);
|
|
EXPECT_EQ(type->isa<TensorType>(), true);
|
|
auto tensor_type = type->cast<TensorTypePtr>();
|
|
MS_EXCEPTION_IF_NULL(tensor_type);
|
|
auto data_type = tensor_type->element();
|
|
MS_EXCEPTION_IF_NULL(data_type);
|
|
EXPECT_EQ(data_type->type_id(), kNumberTypeFloat32);
|
|
EXPECT_EQ(shape_vec.size(), 3);
|
|
EXPECT_EQ(shape_vec[0], 1);
|
|
EXPECT_EQ(shape_vec[1], 2);
|
|
EXPECT_EQ(shape_vec[2], 3);
|
|
}
|
|
|
|
TEST_F(TestStridedSlice, test_ops_stridedslice3) {
|
|
auto stridedslice = std::make_shared<StridedSlice>();
|
|
stridedslice->Init(0, 0, 0, 0, 0);
|
|
EXPECT_EQ(stridedslice->get_begin_mask(), 0);
|
|
EXPECT_EQ(stridedslice->get_end_mask(), 0);
|
|
EXPECT_EQ(stridedslice->get_ellipsis_mask(), 0);
|
|
EXPECT_EQ(stridedslice->get_new_axis_mask(), 0);
|
|
EXPECT_EQ(stridedslice->get_shrink_axis_mask(), 0);
|
|
auto tensor_x = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{3,3,3});
|
|
auto begin = MakeValue(std::vector<int64_t>{1,0,0});
|
|
auto end = MakeValue(std::vector<int64_t>{2,-3,3});
|
|
auto strides =MakeValue(std::vector<int64_t>{1,-1,1});
|
|
MS_EXCEPTION_IF_NULL(tensor_x);
|
|
MS_EXCEPTION_IF_NULL(begin);
|
|
MS_EXCEPTION_IF_NULL(end);
|
|
MS_EXCEPTION_IF_NULL(strides);
|
|
auto abstract =
|
|
stridedslice->Infer({tensor_x->ToAbstract(),begin->ToAbstract(),end->ToAbstract(),strides->ToAbstract()});
|
|
MS_EXCEPTION_IF_NULL(abstract);
|
|
EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true);
|
|
auto shape_ptr = abstract->BuildShape();
|
|
MS_EXCEPTION_IF_NULL(shape_ptr);
|
|
EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
|
|
auto shape = shape_ptr->cast<abstract::ShapePtr>();
|
|
MS_EXCEPTION_IF_NULL(shape);
|
|
auto shape_vec = shape->shape();
|
|
auto type = abstract->BuildType();
|
|
MS_EXCEPTION_IF_NULL(type);
|
|
EXPECT_EQ(type->isa<TensorType>(), true);
|
|
auto tensor_type = type->cast<TensorTypePtr>();
|
|
MS_EXCEPTION_IF_NULL(tensor_type);
|
|
auto data_type = tensor_type->element();
|
|
MS_EXCEPTION_IF_NULL(data_type);
|
|
EXPECT_EQ(data_type->type_id(), kNumberTypeFloat32);
|
|
EXPECT_EQ(shape_vec.size(), 3);
|
|
EXPECT_EQ(shape_vec[0], 1);
|
|
EXPECT_EQ(shape_vec[1], 2);
|
|
EXPECT_EQ(shape_vec[2], 3);
|
|
}
|
|
|
|
TEST_F(TestStridedSlice, test_ops_stridedslice4) {
|
|
auto stridedslice = std::make_shared<StridedSlice>();
|
|
stridedslice->Init(0, 0, 0, 0, 0);
|
|
EXPECT_EQ(stridedslice->get_begin_mask(), 0);
|
|
EXPECT_EQ(stridedslice->get_end_mask(), 0);
|
|
EXPECT_EQ(stridedslice->get_ellipsis_mask(), 0);
|
|
EXPECT_EQ(stridedslice->get_new_axis_mask(), 0);
|
|
EXPECT_EQ(stridedslice->get_shrink_axis_mask(), 0);
|
|
|
|
auto tensor_x = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{5});
|
|
auto begin = MakeValue(std::vector<int64_t>{1});
|
|
auto end = MakeValue(std::vector<int64_t>{-2});
|
|
auto strides =MakeValue(std::vector<int64_t>{1});
|
|
MS_EXCEPTION_IF_NULL(tensor_x);
|
|
MS_EXCEPTION_IF_NULL(begin);
|
|
MS_EXCEPTION_IF_NULL(end);
|
|
MS_EXCEPTION_IF_NULL(strides);
|
|
auto abstract =
|
|
stridedslice->Infer({tensor_x->ToAbstract(),begin->ToAbstract(),end->ToAbstract(),strides->ToAbstract()});
|
|
MS_EXCEPTION_IF_NULL(abstract);
|
|
EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true);
|
|
auto shape_ptr = abstract->BuildShape();
|
|
MS_EXCEPTION_IF_NULL(shape_ptr);
|
|
EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
|
|
auto shape = shape_ptr->cast<abstract::ShapePtr>();
|
|
MS_EXCEPTION_IF_NULL(shape);
|
|
auto shape_vec = shape->shape();
|
|
auto type = abstract->BuildType();
|
|
MS_EXCEPTION_IF_NULL(type);
|
|
EXPECT_EQ(type->isa<TensorType>(), true);
|
|
auto tensor_type = type->cast<TensorTypePtr>();
|
|
MS_EXCEPTION_IF_NULL(tensor_type);
|
|
auto data_type = tensor_type->element();
|
|
MS_EXCEPTION_IF_NULL(data_type);
|
|
EXPECT_EQ(data_type->type_id(), kNumberTypeFloat32);
|
|
EXPECT_EQ(shape_vec.size(), 1);
|
|
EXPECT_EQ(shape_vec[0], 2);
|
|
}*/
|
|
} // namespace ops
|
|
} // namespace mindspore
|