wehub-resource-sync
1596 lines
69 KiB
C++
1596 lines
69 KiB
C++
/* Copyright 2018 The TensorFlow 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.
|
|
==============================================================================*/
|
|
#include <stdint.h>
|
|
|
|
#include <initializer_list>
|
|
#include <numeric>
|
|
#include <string>
|
|
#include <type_traits>
|
|
#include <vector>
|
|
|
|
#include <gmock/gmock.h>
|
|
#include <gtest/gtest.h>
|
|
#include "Eigen/Core" // from @eigen_archive // IWYU pragma: keep
|
|
#include "tensorflow/lite/kernels/test_util.h"
|
|
#include "tensorflow/lite/schema/schema_generated.h"
|
|
#include "tensorflow/lite/types/half.h"
|
|
|
|
namespace tflite {
|
|
namespace {
|
|
|
|
using ::testing::ElementsAreArray;
|
|
using ::testing::IsEmpty;
|
|
|
|
template <typename input_type>
|
|
class StridedSliceOpModel : public SingleOpModel {
|
|
public:
|
|
StridedSliceOpModel(std::initializer_list<int> input_shape,
|
|
std::initializer_list<int> begin_shape,
|
|
std::initializer_list<int> end_shape,
|
|
std::initializer_list<int> strides_shape,
|
|
const std::vector<input_type> input_data,
|
|
const std::vector<int> begin_data,
|
|
const std::vector<int> end_data,
|
|
const std::vector<int> strides_data, int begin_mask,
|
|
int end_mask, int ellipsis_mask, int new_axis_mask,
|
|
int shrink_axis_mask, bool constant_tensors,
|
|
bool offset = false) {
|
|
if (constant_tensors) {
|
|
input_ =
|
|
AddConstInput(GetTensorType<input_type>(), input_data, input_shape);
|
|
begin_ = AddConstInput(TensorType_INT32, begin_data, begin_shape);
|
|
end_ = AddConstInput(TensorType_INT32, end_data, end_shape);
|
|
strides_ = AddConstInput(TensorType_INT32, strides_data, strides_shape);
|
|
} else if (offset) {
|
|
input_ = AddInput(GetTensorType<input_type>());
|
|
begin_ = AddInput(TensorType_INT32);
|
|
end_ = AddConstInput(TensorType_INT32, end_data, end_shape);
|
|
strides_ = AddConstInput(TensorType_INT32, strides_data, strides_shape);
|
|
} else {
|
|
input_ = AddInput(GetTensorType<input_type>());
|
|
begin_ = AddInput(TensorType_INT32);
|
|
end_ = AddInput(TensorType_INT32);
|
|
strides_ = AddInput(TensorType_INT32);
|
|
}
|
|
output_ = AddOutput(GetTensorType<input_type>());
|
|
SetBuiltinOp(
|
|
BuiltinOperator_STRIDED_SLICE, BuiltinOptions_StridedSliceOptions,
|
|
CreateStridedSliceOptions(builder_, begin_mask, end_mask, ellipsis_mask,
|
|
new_axis_mask, shrink_axis_mask, offset)
|
|
.Union());
|
|
BuildInterpreter({input_shape, begin_shape, end_shape, strides_shape});
|
|
if (!constant_tensors) {
|
|
if (!input_data.empty()) {
|
|
SetInput(input_data, std::is_same<std::string, input_type>());
|
|
}
|
|
SetBegin(begin_data);
|
|
SetEnd(end_data);
|
|
SetStrides(strides_data);
|
|
} else if (offset) {
|
|
if (!input_data.empty()) {
|
|
SetInput(input_data, std::is_same<std::string, input_type>());
|
|
}
|
|
SetBegin(begin_data);
|
|
}
|
|
}
|
|
|
|
// Constant input, strides and end with offset.
|
|
StridedSliceOpModel(std::initializer_list<int> input_shape,
|
|
std::initializer_list<int> begin_shape,
|
|
std::initializer_list<int> end_shape,
|
|
std::initializer_list<int> strides_shape,
|
|
const std::vector<input_type> input_data,
|
|
const std::vector<int> begin_data,
|
|
const std::vector<int> end_data,
|
|
const std::vector<int> strides_data, int begin_mask,
|
|
int end_mask, int ellipsis_mask, int new_axis_mask,
|
|
int shrink_axis_mask) {
|
|
input_ =
|
|
AddConstInput(GetTensorType<input_type>(), input_data, input_shape);
|
|
begin_ = AddInput(TensorType_INT32);
|
|
end_ = AddConstInput(TensorType_INT32, end_data, end_shape);
|
|
strides_ = AddConstInput(TensorType_INT32, strides_data, strides_shape);
|
|
output_ = AddOutput(GetTensorType<input_type>());
|
|
SetBuiltinOp(BuiltinOperator_STRIDED_SLICE,
|
|
BuiltinOptions_StridedSliceOptions,
|
|
CreateStridedSliceOptions(builder_, begin_mask, end_mask,
|
|
ellipsis_mask, new_axis_mask,
|
|
shrink_axis_mask, /*offset=*/true)
|
|
.Union());
|
|
BuildInterpreter({input_shape, begin_shape, end_shape, strides_shape});
|
|
SetBegin(begin_data);
|
|
}
|
|
|
|
template <typename T>
|
|
void SetInput(const std::vector<T> data, std::false_type) {
|
|
PopulateTensor<input_type>(input_, data);
|
|
}
|
|
template <typename T>
|
|
void SetInput(const std::vector<T> data, std::true_type) {
|
|
PopulateStringTensor(input_, data);
|
|
}
|
|
void SetBegin(const std::vector<int32_t> data) {
|
|
PopulateTensor<int32_t>(begin_, data);
|
|
}
|
|
void SetEnd(const std::vector<int32_t> data) {
|
|
PopulateTensor<int32_t>(end_, data);
|
|
}
|
|
void SetStrides(const std::vector<int32_t> data) {
|
|
PopulateTensor<int32_t>(strides_, data);
|
|
}
|
|
|
|
std::vector<input_type> GetOutput() {
|
|
return ExtractVector<input_type>(output_);
|
|
}
|
|
std::vector<std::string> GetStringOutput() {
|
|
return ExtractVector<std::string>(output_);
|
|
}
|
|
std::vector<int> GetOutputShape() { return GetTensorShape(output_); }
|
|
|
|
const TfLiteTensor* GetOutputTensor(int index) {
|
|
return interpreter_->output_tensor(index);
|
|
}
|
|
|
|
private:
|
|
int input_;
|
|
int begin_;
|
|
int end_;
|
|
int strides_;
|
|
int output_;
|
|
};
|
|
|
|
template <typename T>
|
|
class StridedSliceOpTest : public ::testing::Test {};
|
|
|
|
using DataTypes = ::testing::Types<float, half, Eigen::bfloat16, uint8_t,
|
|
uint32_t, int8_t, int16_t, int32_t>;
|
|
TYPED_TEST_SUITE(StridedSliceOpTest, DataTypes);
|
|
|
|
template <typename TypeParam, typename T = TypeParam>
|
|
auto ElementsAreTypedArray(std::vector<T> x) {
|
|
if constexpr (std::is_floating_point_v<TypeParam>) {
|
|
return ElementsAreArray(ArrayFloatNear(std::move(x)));
|
|
} else {
|
|
return ElementsAreArray(std::move(x));
|
|
}
|
|
}
|
|
|
|
// Casts input vector to specified type, converting to string for std::string
|
|
// type.
|
|
template <typename T>
|
|
std::vector<T> CastVector(const std::vector<int>& input_data) {
|
|
std::vector<T> casted_input(input_data.size());
|
|
|
|
if constexpr (std::is_same_v<T, std::string>) {
|
|
std::transform(input_data.begin(), input_data.end(), casted_input.begin(),
|
|
[](int x) { return std::to_string(x); });
|
|
} else if constexpr (std::is_same_v<T, int>) {
|
|
return input_data;
|
|
} else {
|
|
std::transform(input_data.begin(), input_data.end(), casted_input.begin(),
|
|
[](int x) { return static_cast<T>(x); });
|
|
}
|
|
return casted_input;
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In6D) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({0, 1, 2, 3, 4, 5});
|
|
StridedSliceOpModel<TypeParam> m({2, 1, 1, 1, 1, 3}, {6}, {6}, {6},
|
|
input_data, {1, 0, 0, 0, 0, 1},
|
|
{2, 1, 1, 1, 1, 3}, {1, 1, 1, 1, 1, 1}, 0,
|
|
0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 1, 1, 1, 1, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({4, 5})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In1DEmpty) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
StridedSliceOpModel<TypeParam> m({0}, {1}, {1}, {1},
|
|
std::vector<TypeParam>{}, {1}, {3}, {1}, 0,
|
|
0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({0}));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, Offset) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({0, 1, 2, 3, 4, 5, 6, 7, 8, 9});
|
|
StridedSliceOpModel<TypeParam> m({10}, {1}, {1}, {1}, input_data, {1}, {3},
|
|
{1}, 0, 0, 0, 0, 0, constant_tensors,
|
|
/*offset=*/true);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 3})));
|
|
if (m.GetNumberOfAppliedDelegates() == 0) {
|
|
if (constant_tensors) {
|
|
EXPECT_THAT(m.GetOutputTensor(0)->allocation_type, kTfLitePersistentRo);
|
|
} else {
|
|
EXPECT_THAT(m.GetOutputTensor(0)->allocation_type, kTfLiteArenaRw);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, OffsetArray) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11});
|
|
StridedSliceOpModel<TypeParam> m({3, 4}, {2}, {2}, {2}, input_data, {0, 1},
|
|
{2, 2}, {1, 1}, 0, 0, 0, 0, 0,
|
|
constant_tensors, /*offset=*/true);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 5, 6})));
|
|
if (m.GetNumberOfAppliedDelegates() == 0) {
|
|
if (constant_tensors) {
|
|
EXPECT_THAT(m.GetOutputTensor(0)->allocation_type, kTfLitePersistentRo);
|
|
} else {
|
|
EXPECT_THAT(m.GetOutputTensor(0)->allocation_type, kTfLiteArenaRw);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, OffsetConstant) {
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11});
|
|
StridedSliceOpModel<TypeParam> m({3, 4}, {2}, {2}, {2}, input_data, {0, 1},
|
|
{2, 2}, {1, 1}, 0, 0, 0, 0, 0,
|
|
/*constant_tensors*/ false,
|
|
/*offset=*/true);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 5, 6})));
|
|
EXPECT_THAT(m.GetOutputTensor(0)->allocation_type, kTfLiteArenaRw);
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, OffsetConstantStride) {
|
|
const int height = 5;
|
|
const int width = 6;
|
|
std::vector<int> input_data(height * width);
|
|
std::iota(input_data.begin(), input_data.end(), 0);
|
|
|
|
auto casted_input_data = CastVector<TypeParam>(input_data);
|
|
|
|
StridedSliceOpModel<TypeParam> m({height, width}, {2}, {2}, {2},
|
|
casted_input_data, {0, 1}, {4, 3}, {2, 2}, 0,
|
|
0, 0, 0, 0,
|
|
/*constant_tensors*/ false,
|
|
/*offset=*/true);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 3, 13, 15})));
|
|
EXPECT_THAT(m.GetOutputTensor(0)->allocation_type, kTfLiteArenaRw);
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, OffsetConstantNegativeStride) {
|
|
const int height = 5;
|
|
const int width = 6;
|
|
std::vector<int> input_data(height * width);
|
|
std::iota(input_data.begin(), input_data.end(), 0);
|
|
|
|
auto casted_input_data = CastVector<TypeParam>(input_data);
|
|
|
|
StridedSliceOpModel<TypeParam> m({height, width}, {2}, {2}, {2},
|
|
casted_input_data, {4, 4}, {-4, -3},
|
|
{-2, -2}, 0, 0, 0, 0, 0,
|
|
/*constant_tensors*/ false,
|
|
/*offset=*/true);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({28, 26, 16, 14})));
|
|
EXPECT_THAT(m.GetOutputTensor(0)->allocation_type, kTfLiteArenaRw);
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In1D) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4});
|
|
StridedSliceOpModel<TypeParam> m({4}, {1}, {1}, {1}, input_data, {1}, {3},
|
|
{1}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({2, 3})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In1DConst) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4});
|
|
StridedSliceOpModel<TypeParam> m({4}, {1}, {1}, {1}, input_data, {1}, {3},
|
|
{1}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({2, 3})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In1D_Int32End) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
std::vector<TypeParam> values(32768);
|
|
for (int i = 0; i < 32768; ++i) {
|
|
values[i] = static_cast<TypeParam>(i);
|
|
}
|
|
|
|
StridedSliceOpModel<TypeParam> m({32768}, {1}, {1}, {1}, values, {0},
|
|
{32768}, {1}, 0, 0, 0, 0, 0,
|
|
constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({32768}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(values));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In1D_EmptyOutput) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4});
|
|
StridedSliceOpModel<TypeParam> m({4}, {1}, {1}, {1}, input_data, {10}, {3},
|
|
{1}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({0}));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In1D_NegativeBegin) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4});
|
|
StridedSliceOpModel<TypeParam> m({4}, {1}, {1}, {1}, input_data, {-3}, {3},
|
|
{1}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({2, 3})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In1D_OutOfRangeBegin) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4});
|
|
StridedSliceOpModel<TypeParam> m({4}, {1}, {1}, {1}, input_data, {-5}, {3},
|
|
{1}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 3})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In1D_NegativeEnd) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4});
|
|
StridedSliceOpModel<TypeParam> m({4}, {1}, {1}, {1}, input_data, {1}, {-2},
|
|
{1}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1}));
|
|
EXPECT_THAT(m.GetOutput(),
|
|
ElementsAreTypedArray<TypeParam>(CastVector<TypeParam>({2})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In1D_OutOfRangeEnd) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4});
|
|
StridedSliceOpModel<TypeParam> m({4}, {1}, {1}, {1}, input_data, {-3}, {5},
|
|
{1}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({2, 3, 4})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In1D_BeginMask) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4});
|
|
StridedSliceOpModel<TypeParam> m({4}, {1}, {1}, {1}, input_data, {1}, {3},
|
|
{1}, 1, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 3})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In1D_NegativeBeginNegativeStride) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4});
|
|
StridedSliceOpModel<TypeParam> m({4}, {1}, {1}, {1}, input_data, {-2}, {-3},
|
|
{-1}, 0, 0, 0, 0, 0, constant_tensors);
|
|
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1}));
|
|
EXPECT_THAT(m.GetOutput(),
|
|
ElementsAreTypedArray<TypeParam>(CastVector<TypeParam>({3})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In1D_OutOfRangeBeginNegativeStride) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4});
|
|
StridedSliceOpModel<TypeParam> m({4}, {1}, {1}, {1}, input_data, {5}, {2},
|
|
{-1}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1}));
|
|
EXPECT_THAT(m.GetOutput(),
|
|
ElementsAreTypedArray<TypeParam>(CastVector<TypeParam>({4})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In1D_NegativeEndNegativeStride) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4});
|
|
StridedSliceOpModel<TypeParam> m({4}, {1}, {1}, {1}, input_data, {2}, {-4},
|
|
{-1}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({3, 2})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In1D_OutOfRangeEndNegativeStride) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4});
|
|
StridedSliceOpModel<TypeParam> m({4}, {1}, {1}, {1}, input_data, {-3}, {-5},
|
|
{-1}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({2, 1})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In1D_EndMask) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4});
|
|
StridedSliceOpModel<TypeParam> m({4}, {1}, {1}, {1}, input_data, {1}, {3},
|
|
{1}, 0, 1, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({2, 3, 4})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In1D_NegStride) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data = CastVector<TypeParam>({1, 2, 3});
|
|
StridedSliceOpModel<TypeParam> m({3}, {1}, {1}, {1}, input_data, {-1}, {-4},
|
|
{-1}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({3, 2, 1})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In1D_EvenLenStride2) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data = CastVector<TypeParam>({1, 2});
|
|
StridedSliceOpModel<TypeParam> m({2}, {1}, {1}, {1}, input_data, {0}, {2},
|
|
{2}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1}));
|
|
EXPECT_THAT(m.GetOutput(),
|
|
ElementsAreTypedArray<TypeParam>(CastVector<TypeParam>({1})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In1D_OddLenStride2) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data = CastVector<TypeParam>({1, 2, 3});
|
|
StridedSliceOpModel<TypeParam> m({3}, {1}, {1}, {1}, input_data, {0}, {3},
|
|
{2}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 3})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In2D_Identity) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6});
|
|
StridedSliceOpModel<TypeParam> m({2, 3}, {2}, {2}, {2}, input_data, {0, 0},
|
|
{2, 3}, {1, 1}, 0, 0, 0, 0, 0,
|
|
constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2, 3}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In2D) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6});
|
|
StridedSliceOpModel<TypeParam> m({2, 3}, {2}, {2}, {2}, input_data, {1, 0},
|
|
{2, 2}, {1, 1}, 0, 0, 0, 0, 0,
|
|
constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({4, 5})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In2D_Stride2) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6});
|
|
StridedSliceOpModel<TypeParam> m({2, 3}, {2}, {2}, {2}, input_data, {0, 0},
|
|
{2, 3}, {2, 2}, 0, 0, 0, 0, 0,
|
|
constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 3})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In2D_NegStride) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6});
|
|
StridedSliceOpModel<TypeParam> m({2, 3}, {2}, {2}, {2}, input_data, {1, -1},
|
|
{2, -4}, {2, -1}, 0, 0, 0, 0, 0,
|
|
constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 3}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({6, 5, 4})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In2D_BeginMask) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6});
|
|
StridedSliceOpModel<TypeParam> m({2, 3}, {2}, {2}, {2}, input_data, {1, 0},
|
|
{2, 2}, {1, 1}, 1, 0, 0, 0, 0,
|
|
constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 4, 5})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In2D_EndMask) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6});
|
|
StridedSliceOpModel<TypeParam> m({2, 3}, {2}, {2}, {2}, input_data, {1, 0},
|
|
{2, 2}, {1, 1}, 0, 2, 0, 0, 0,
|
|
constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 3}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({4, 5, 6})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In2D_NegStrideBeginMask) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6});
|
|
StridedSliceOpModel<TypeParam> m({2, 3}, {2}, {2}, {2}, input_data, {1, -2},
|
|
{2, -4}, {1, -1}, 2, 0, 0, 0, 0,
|
|
constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 3}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({6, 5, 4})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In2D_NegStrideEndMask) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6});
|
|
StridedSliceOpModel<TypeParam> m({2, 3}, {2}, {2}, {2}, input_data, {1, -2},
|
|
{2, -3}, {1, -1}, 0, 2, 0, 0, 0,
|
|
constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({5, 4})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, In3D_Identity) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {2, 3, 2}, {1, 1, 1}, 0, 0, 0,
|
|
0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2, 3, 2}));
|
|
EXPECT_THAT(m.GetOutput(),
|
|
ElementsAreArray({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In3D_NegStride) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{-1, -1, -1}, {-3, -4, -3}, {-1, -1, -1},
|
|
0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2, 3, 2}));
|
|
EXPECT_THAT(m.GetOutput(),
|
|
ElementsAreArray({12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1}));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In3D_Strided2) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {2, 3, 2}, {2, 2, 2}, 0, 0, 0,
|
|
0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 2, 1}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 5})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In1D_ShrinkAxisMask1) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4});
|
|
StridedSliceOpModel<TypeParam> m({4}, {1}, {1}, {1}, input_data, {1}, {2},
|
|
{1}, 0, 0, 0, 0, 1, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_TRUE(m.GetOutputShape().empty());
|
|
EXPECT_THAT(m.GetOutput(),
|
|
ElementsAreTypedArray<TypeParam>(CastVector<TypeParam>({2})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In1D_ShrinkAxisMask1_NegativeSlice) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
// This is equivalent to tf.range(4)[-1].
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({0, 1, 2, 3});
|
|
StridedSliceOpModel<TypeParam> m({4}, {1}, {1}, {1}, input_data, {-1}, {0},
|
|
{1}, 0, 0, 0, 0, 1, constant_tensors);
|
|
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_TRUE(m.GetOutputShape().empty());
|
|
EXPECT_THAT(m.GetOutput(),
|
|
ElementsAreTypedArray<TypeParam>(CastVector<TypeParam>({3})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In2D_ShrinkAxis3_NegativeSlice) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
// This is equivalent to tf.range(4)[:, tf.newaxis][-2, -1].
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({0, 1, 2, 3});
|
|
StridedSliceOpModel<TypeParam> m({4, 1}, {2}, {2}, {2}, input_data,
|
|
{-2, -1}, {-1, 0}, {1, 1}, 0, 0, 0, 0, 3,
|
|
constant_tensors);
|
|
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_TRUE(m.GetOutputShape().empty());
|
|
EXPECT_THAT(m.GetOutput(),
|
|
ElementsAreTypedArray<TypeParam>(CastVector<TypeParam>({2})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In2D_ShrinkAxis2_BeginEndAxis1_NegativeSlice) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
// This is equivalent to tf.range(4)[:, tf.newaxis][:, -1].
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({0, 1, 2, 3});
|
|
StridedSliceOpModel<TypeParam> m({4, 1}, {2}, {2}, {2}, input_data, {0, -1},
|
|
{0, 0}, {1, 1}, 1, 1, 0, 0, 2,
|
|
constant_tensors);
|
|
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({4}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({0, 1, 2, 3})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In1D_BeginMaskShrinkAxisMask1) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4});
|
|
StridedSliceOpModel<TypeParam> m({4}, {1}, {1}, {1}, input_data, {1}, {1},
|
|
{1}, 1, 0, 0, 0, 1, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_TRUE(m.GetOutputShape().empty());
|
|
EXPECT_THAT(m.GetOutput(),
|
|
ElementsAreTypedArray<TypeParam>(CastVector<TypeParam>({1})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In2D_ShrinkAxisMask1) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6});
|
|
StridedSliceOpModel<TypeParam> m({2, 3}, {2}, {2}, {2}, input_data, {0, 0},
|
|
{1, 3}, {1, 1}, 0, 0, 0, 0, 1,
|
|
constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 3})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In2D_ShrinkAxisMask2) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6});
|
|
StridedSliceOpModel<TypeParam> m({2, 3}, {2}, {2}, {2}, input_data, {0, 0},
|
|
{2, 1}, {1, 1}, 0, 0, 0, 0, 2,
|
|
constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 4})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In2D_ShrinkAxisMask3) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6});
|
|
StridedSliceOpModel<TypeParam> m({2, 3}, {2}, {2}, {2}, input_data, {0, 0},
|
|
{1, 1}, {1, 1}, 0, 0, 0, 0, 3,
|
|
constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_TRUE(m.GetOutputShape().empty());
|
|
EXPECT_THAT(m.GetOutput(),
|
|
ElementsAreTypedArray<TypeParam>(CastVector<TypeParam>({1})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In3D_IdentityShrinkAxis1) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {1, 3, 2}, {1, 1, 1}, 0, 0, 0,
|
|
0, 1, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In3D_IdentityShrinkAxis2) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {2, 1, 2}, {1, 1, 1}, 0, 0, 0,
|
|
0, 2, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 7, 8})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In3D_IdentityShrinkAxis3) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {1, 1, 2}, {1, 1, 1}, 0, 0, 0,
|
|
0, 3, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In3D_IdentityShrinkAxis4) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {2, 3, 1}, {1, 1, 1}, 0, 0, 0,
|
|
0, 4, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2, 3}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 3, 5, 7, 9, 11})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In3D_IdentityShrinkAxis5) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {1, 3, 1}, {1, 1, 1}, 0, 0, 0,
|
|
0, 5, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 3, 5})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In3D_IdentityShrinkAxis6) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {2, 1, 1}, {1, 1, 1}, 0, 0, 0,
|
|
0, 6, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 7})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In3D_IdentityShrinkAxis7) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {1, 1, 1}, {1, 1, 1}, 0, 0, 0,
|
|
0, 7, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_TRUE(m.GetOutputShape().empty());
|
|
EXPECT_THAT(m.GetOutput(),
|
|
ElementsAreTypedArray<TypeParam>(CastVector<TypeParam>({1})));
|
|
}
|
|
|
|
// This tests catches a very subtle bug that was fixed by cl/188403234.
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, RunTwice) {
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6});
|
|
StridedSliceOpModel<TypeParam> m({2, 3}, {2}, {2}, {2}, input_data, {1, 0},
|
|
{2, 2}, {1, 1}, 1, 0, 0, 0, 0, false);
|
|
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 4, 5})));
|
|
|
|
auto setup_inputs = [&m, &input_data]() {
|
|
m.template SetInput<TypeParam>(input_data,
|
|
std::is_same<std::string, TypeParam>());
|
|
m.SetBegin({1, 0});
|
|
m.SetEnd({2, 2});
|
|
m.SetStrides({1, 1});
|
|
};
|
|
|
|
setup_inputs();
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
// Prior to cl/188403234 this was {4, 5}.
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 4, 5})));
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In3D_IdentityShrinkAxis1Uint8) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {1, 3, 2}, {1, 1, 1}, 0, 0, 0,
|
|
0, 1, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In3D_IdentityShrinkAxis1int8) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {1, 3, 2}, {1, 1, 1}, 0, 0, 0,
|
|
0, 1, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In5D_Identity) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data = CastVector<TypeParam>(
|
|
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16});
|
|
StridedSliceOpModel<TypeParam> m(
|
|
{2, 2, 2, 1, 2}, {5}, {5}, {5}, input_data, {0, 0, 0, 0, 0},
|
|
{2, 1, 2, 1, 2}, {1, 1, 1, 1, 1}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2, 1, 2, 1, 2}));
|
|
EXPECT_THAT(m.GetOutput(),
|
|
ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 3, 4, 9, 10, 11, 12})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In5D_IdentityShrinkAxis1) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data = CastVector<TypeParam>(
|
|
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16});
|
|
StridedSliceOpModel<TypeParam> m(
|
|
{2, 2, 2, 1, 2}, {5}, {5}, {5}, input_data, {0, 0, 0, 0, 0},
|
|
{2, 1, 2, 1, 2}, {1, 1, 1, 1, 1}, 0, 0, 0, 0, 1, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 2, 1, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 3, 4})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In3D_SmallBegin) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {1}, {1}, {1}, input_data, {0},
|
|
{1}, {1}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 3, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In3D_SmallBeginWithhrinkAxis1) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {1}, {1}, {1}, input_data, {0},
|
|
{1}, {1}, 0, 0, 0, 0, 1, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In3D_BackwardSmallBeginEndMask) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data = CastVector<TypeParam>({1, 2});
|
|
StridedSliceOpModel<TypeParam> m({1, 1, 2}, {1}, {1}, {1}, input_data, {1},
|
|
{0}, {1}, 0, 1, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({0, 1, 2}));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In3D_BackwardSmallBegin) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data = CastVector<TypeParam>({1, 2});
|
|
StridedSliceOpModel<TypeParam> m({1, 1, 2}, {1}, {1}, {1}, input_data, {1},
|
|
{0}, {1}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({0, 1, 2}));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In3D_Backward) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data = CastVector<TypeParam>({1, 2});
|
|
StridedSliceOpModel<TypeParam> m({1, 1, 2}, {3}, {3}, {3}, input_data,
|
|
{1, 0, 0}, {0, -1, -1}, {1, 1, 1}, 6, 7, 0,
|
|
0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({0, 1, 2}));
|
|
}
|
|
}
|
|
|
|
TEST(StridedSliceOpTest, In1D_String_NegativeBegin) {
|
|
std::vector<std::string> input_data = CastVector<std::string>(
|
|
{1, 2, 3, 4}); // input_data = {"a", "b", "c", "d"}
|
|
StridedSliceOpModel<std::string> m({4}, {1}, {1}, {1}, input_data, {-3}, {3},
|
|
{1}, 0, 0, 0, 0, 0, false);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
std::vector<std::string> output_data =
|
|
CastVector<std::string>({2, 3}); // output_data = {"b", "c"}
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2}));
|
|
EXPECT_THAT(m.GetStringOutput(), ElementsAreArray(output_data));
|
|
}
|
|
|
|
TEST(StridedSliceOpTest, In3D_String_BackwardSmallBegin) {
|
|
std::vector<std::string> input_data =
|
|
CastVector<std::string>({1, 2}); // input_data = {"a", "b"}
|
|
|
|
StridedSliceOpModel<std::string> m({1, 1, 2}, {1}, {1}, {1}, input_data, {1},
|
|
{0}, {1}, 0, 1, 0, 0, 0, false);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({0, 1, 2}));
|
|
}
|
|
|
|
TEST(StridedSliceOpTest, In3D_String_SmallBeginWithhrinkAxis1) {
|
|
std::vector<std::string> input_data =
|
|
CastVector<std::string>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<std::string> m({2, 3, 2}, {1}, {1}, {1}, input_data, {0},
|
|
{1}, {1}, 0, 0, 0, 0, 1, false);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3, 2}));
|
|
EXPECT_THAT(m.GetStringOutput(),
|
|
ElementsAreArray({"1", "2", "3", "4", "5", "6"}));
|
|
}
|
|
|
|
TEST(StridedSliceOpTest, In5D_String_IdentityShrinkAxis1) {
|
|
std::vector<std::string> input_data = CastVector<std::string>(
|
|
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16});
|
|
StridedSliceOpModel<std::string> m({2, 2, 2, 1, 2}, {5}, {5}, {5}, input_data,
|
|
{0, 0, 0, 0, 0}, {2, 1, 2, 1, 2},
|
|
{1, 1, 1, 1, 1}, 0, 0, 0, 0, 1, false);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 2, 1, 2}));
|
|
EXPECT_THAT(m.GetStringOutput(), ElementsAreArray({"1", "2", "3", "4"}));
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, In2D_ShrinkAxis_Endmask_AtSameAxis) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({0, 1, 2, 3});
|
|
StridedSliceOpModel<TypeParam> m({2, 2}, {2}, {2}, {2}, input_data, {0, -1},
|
|
{0, 0}, {1, -1}, 1, 1, 0, 0, 1,
|
|
constant_tensors);
|
|
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1}));
|
|
EXPECT_THAT(m.GetOutput(),
|
|
ElementsAreTypedArray<TypeParam>(CastVector<TypeParam>({1})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, EllipsisMask1_NewAxisMask2) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {1, 2, 1}, {1, 1, 1}, 0, 0, 1,
|
|
2, 0, constant_tensors);
|
|
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2, 3, 1, 1}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 3, 5, 7, 9, 11})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, EllipsisMask2_NewAxisMask1) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {1, 2, 1}, {1, 1, 1}, 0, 0, 2,
|
|
1, 0, constant_tensors);
|
|
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 2, 3, 1}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 3, 5, 7, 9, 11})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, EllipsisMask2_NewAxisMask5) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {1, 2, 1}, {1, 1, 1}, 0, 0, 2,
|
|
5, 0, constant_tensors);
|
|
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 2, 3, 2, 1}));
|
|
EXPECT_THAT(m.GetOutput(),
|
|
ElementsAreArray({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, EllipsisMask2_NewAxisMask2) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {1, 2, 1}, {1, 1, 1}, 0, 0, 2,
|
|
2, 0, constant_tensors);
|
|
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 3, 1}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 3, 5})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, EllipsisMask4_NewAxisMask2) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {1, 2, 1}, {1, 1, 1}, 0, 0, 4,
|
|
2, 0, constant_tensors);
|
|
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 1, 3, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, EllipsisMask2) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {1, 2, 1}, {1, 1, 1}, 0, 0, 2,
|
|
0, 0, constant_tensors);
|
|
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 3, 1}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 3, 5})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, NewAxisMask2) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {1, 3, 1}, {1, 1, 1}, 0, 0, 0,
|
|
2, 0, constant_tensors);
|
|
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 1, 1, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, NewAxisMask1) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
|
|
StridedSliceOpModel<TypeParam> m({2, 3, 2}, {3}, {3}, {3}, input_data,
|
|
{0, 0, 0}, {1, 3, 1}, {1, 1, 1}, 0, 0, 0,
|
|
1, 0, constant_tensors);
|
|
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 2, 1, 2}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({1, 2, 7, 8})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, NoInfiniteLoop) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
StridedSliceOpModel<TypeParam> m(
|
|
{1, 1}, {6}, {6}, {6}, {}, {1, 1, 1, 1, 1, 1}, {3, 3, 3, 3, 3, 3},
|
|
{1, 1, 1, 1, 1, 1}, 1, 2, 1, 6, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, MinusThreeMinusFourMinusOne) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4});
|
|
StridedSliceOpModel<TypeParam> m({4}, {1}, {1}, {1}, input_data, {-3}, {-4},
|
|
{-1}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1}));
|
|
EXPECT_THAT(m.GetOutput(),
|
|
ElementsAreTypedArray<TypeParam>(CastVector<TypeParam>({2})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, MinusFourMinusThreeOne) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4});
|
|
StridedSliceOpModel<TypeParam> m({4}, {1}, {1}, {1}, input_data, {-4}, {-3},
|
|
{1}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1}));
|
|
EXPECT_THAT(m.GetOutput(),
|
|
ElementsAreTypedArray<TypeParam>(CastVector<TypeParam>({1})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, OneOneOne) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data = CastVector<TypeParam>({2});
|
|
StridedSliceOpModel<TypeParam> m({1}, {1}, {1}, {1}, input_data, {1}, {1},
|
|
{1}, 0, 0, 0, 0, 0, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({0}));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, OneOneOneShrinkAxis) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data = CastVector<TypeParam>({1, 2, 3});
|
|
StridedSliceOpModel<TypeParam> m({3}, {1}, {1}, {1}, input_data, {1}, {1},
|
|
{1}, 0, 0, 0, 0, 1, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), IsEmpty());
|
|
EXPECT_THAT(m.GetOutput(),
|
|
ElementsAreTypedArray<TypeParam>(CastVector<TypeParam>({2})));
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, OneOneOneShrinkAxisOOB) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data = CastVector<TypeParam>({2});
|
|
StridedSliceOpModel<TypeParam> m({1}, {1}, {1}, {1}, input_data, {1}, {1},
|
|
{1}, 0, 0, 0, 0, 1, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), IsEmpty());
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, OutOfBounds) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
StridedSliceOpModel<TypeParam> m({1}, {1}, {1}, {1}, {}, {1}, {2}, {1}, 0,
|
|
0, 0, 0, 1, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), IsEmpty());
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, StrideOutOfBounds) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
StridedSliceOpModel<TypeParam> m({1}, {1}, {1}, {1}, {}, {1}, {4}, {7}, 0,
|
|
0, 0, 0, 1, constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), IsEmpty());
|
|
}
|
|
}
|
|
TYPED_TEST(StridedSliceOpTest, NegEndMask) {
|
|
for (bool constant_tensors : {true, false}) {
|
|
if (SingleOpModel::GetForceUseNnapi() && constant_tensors) {
|
|
// NNAPI does not support graphs with all constant inputs.
|
|
continue;
|
|
}
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6});
|
|
StridedSliceOpModel<TypeParam> m({2, 3}, {2}, {2}, {2}, input_data, {0, -1},
|
|
{2, -3}, {1, -1}, 0, 0b10, 0, 0, 0,
|
|
constant_tensors);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2, 3}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({3, 2, 1, 6, 5, 4})));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, StrideOverflowAndEdgeCases) {
|
|
if (SingleOpModel::GetForceUseNnapi()) {
|
|
return;
|
|
}
|
|
{
|
|
const std::vector<TypeParam> input_data = CastVector<TypeParam>({1});
|
|
StridedSliceOpModel<TypeParam> m({1}, {1}, {1}, {1}, input_data, {0},
|
|
{2147483647}, {126322568}, 0, 0, 0, 0, 0,
|
|
/*constant_tensors=*/false,
|
|
/*offset=*/true);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({17}));
|
|
}
|
|
{
|
|
const std::vector<TypeParam> input_data = CastVector<TypeParam>({1});
|
|
StridedSliceOpModel<TypeParam> m({1}, {1}, {1}, {1}, input_data, {0},
|
|
{-2147483648}, {-1000000000}, 0, 0, 0, 0,
|
|
0, /*constant_tensors=*/false,
|
|
/*offset=*/true);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3}));
|
|
}
|
|
}
|
|
|
|
TYPED_TEST(StridedSliceOpTest, NoopOffset) {
|
|
const std::vector<TypeParam> input_data =
|
|
CastVector<TypeParam>({1, 2, 3, 4, 5, 6});
|
|
StridedSliceOpModel<TypeParam> m({2, 3}, {2}, {2}, {2}, input_data, {0, -1},
|
|
{2, -3}, {1, -1}, 0, 0b10, 0, 0, 0);
|
|
ASSERT_EQ(m.Invoke(), kTfLiteOk);
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({2, 3}));
|
|
EXPECT_THAT(m.GetOutput(), ElementsAreTypedArray<TypeParam>(
|
|
CastVector<TypeParam>({3, 2, 1, 6, 5, 4})));
|
|
}
|
|
} // namespace
|
|
} // namespace tflite
|