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Cleanup reshape_test to use test_helpers.h instead of testing/test_utils.h

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PiperOrigin-RevId: 335941197
Change-Id: I50488b7ccb74383545de0dd7220841fa1f4e579d
This commit is contained in:
Nick Kreeger 2020-10-07 13:30:31 -07:00 committed by TensorFlower Gardener
parent 22d148562f
commit 37c2bf5016
1 changed files with 37 additions and 19 deletions
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56
tensorflow/lite/micro/kernels/reshape_test.cc
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@ -23,7 +23,6 @@ limitations under the License.
#include "tensorflow/lite/micro/micro_utils.h" #include "tensorflow/lite/micro/micro_utils.h"
#include "tensorflow/lite/micro/test_helpers.h" #include "tensorflow/lite/micro/test_helpers.h"
#include "tensorflow/lite/micro/testing/micro_test.h" #include "tensorflow/lite/micro/testing/micro_test.h"
#include "tensorflow/lite/micro/testing/test_utils.h"
namespace tflite { namespace tflite {
namespace testing { namespace testing {
@ -113,22 +112,41 @@ void TestReshapeWithoutShape(TfLiteTensor* input_tensor,
expected_dims_len, expect_failure); expected_dims_len, expect_failure);
} }
template <typename T = float, TfLiteType tensor_type = kTfLiteFloat32> void TestReshape(const int* input_dims_data, const float* input_data,
void TestReshape(const int* input_dims_data, const T* input_data,
const int* shape_dims_data, const int32_t* shape_data, const int* shape_dims_data, const int32_t* shape_data,
int* output_dims_data, T* output_data, int* output_dims_data, float* output_data,
const T* expected_output, const size_t expected_output_len, const float* expected_output, const size_t expected_output_len,
const int* expected_dims, const size_t expected_dims_len, const int* expected_dims, const size_t expected_dims_len,
bool expect_failure = false) { bool expect_failure = false) {
TfLiteIntArray* input_dims = IntArrayFromInts(input_dims_data); TfLiteIntArray* input_dims = IntArrayFromInts(input_dims_data);
TfLiteIntArray* shape_dims = IntArrayFromInts(shape_dims_data); TfLiteIntArray* shape_dims = IntArrayFromInts(shape_dims_data);
TfLiteIntArray* output_dims = IntArrayFromInts(output_dims_data); TfLiteIntArray* output_dims = IntArrayFromInts(output_dims_data);
TfLiteTensor input_tensor = TfLiteTensor input_tensor = CreateFloatTensor(input_data, input_dims);
CreateTensor<T, tensor_type>(input_data, input_dims); TfLiteTensor shape_tensor = CreateInt32Tensor(shape_data, shape_dims);
TfLiteTensor shape_tensor = TfLiteTensor output_tensor = CreateFloatTensor(output_data, output_dims);
CreateTensor<int32_t, kTfLiteInt32>(shape_data, shape_dims);
TfLiteTensor output_tensor = TestReshapeWithShape(&input_tensor, &shape_tensor, &output_tensor,
CreateTensor<T, tensor_type>(output_data, output_dims); expected_output, expected_output_len, expected_dims,
expected_dims_len, expect_failure);
}
template <typename T>
void TestReshapeQuantized(const int* input_dims_data, const T* input_data,
const int* shape_dims_data, const int32_t* shape_data,
int* output_dims_data, T* output_data,
const T* expected_output,
const size_t expected_output_len,
const int* expected_dims,
const size_t expected_dims_len,
bool expect_failure = false) {
TfLiteIntArray* input_dims = IntArrayFromInts(input_dims_data);
TfLiteIntArray* shape_dims = IntArrayFromInts(shape_dims_data);
TfLiteIntArray* output_dims = IntArrayFromInts(output_dims_data);
TfLiteTensor input_tensor = CreateQuantizedTensor(
input_data, input_dims, /*scale=*/1.f, /*zero_point=*/0);
TfLiteTensor shape_tensor = CreateInt32Tensor(shape_data, shape_dims);
TfLiteTensor output_tensor = CreateQuantizedTensor(
output_data, output_dims, /*scale=*/1.f, /*zero_point=*/0);
TestReshapeWithShape(&input_tensor, &shape_tensor, &output_tensor, TestReshapeWithShape(&input_tensor, &shape_tensor, &output_tensor,
expected_output, expected_output_len, expected_dims, expected_output, expected_output_len, expected_dims,
@ -233,11 +251,11 @@ TF_LITE_MICRO_TEST(ReshapeWithRegularShapesShouldSucceed) {
output_dims, output_data_float, output_dims, output_data_float,
golden_output_float, golden_output_len, golden_output_float, golden_output_len,
golden_dims, golden_dims_len, false); golden_dims, golden_dims_len, false);
tflite::testing::TestReshape<int8_t, kTfLiteInt8>( tflite::testing::TestReshapeQuantized(
input_dims, input_int8, shape_dims, shape_int32, output_dims, input_dims, input_int8, shape_dims, shape_int32, output_dims,
output_data_int8, golden_output_int8, golden_output_len, golden_dims, output_data_int8, golden_output_int8, golden_output_len, golden_dims,
golden_dims_len, false); golden_dims_len, false);
tflite::testing::TestReshape<uint8_t, kTfLiteUInt8>( tflite::testing::TestReshapeQuantized(
input_dims, input_uint8, shape_dims, shape_int32, output_dims, input_dims, input_uint8, shape_dims, shape_int32, output_dims,
output_data_uint8, golden_output_uint8, golden_output_len, golden_dims, output_data_uint8, golden_output_uint8, golden_output_len, golden_dims,
golden_dims_len, false); golden_dims_len, false);
@ -265,11 +283,11 @@ TF_LITE_MICRO_TEST(ReshapeWithStretchDimensionShouldSucceed) {
output_dims, output_data_float, output_dims, output_data_float,
golden_output_float, golden_output_len, golden_output_float, golden_output_len,
golden_dims, golden_dims_len, false); golden_dims, golden_dims_len, false);
tflite::testing::TestReshape<int8_t, kTfLiteInt8>( tflite::testing::TestReshapeQuantized(
input_dims, input_int8, shape_dims, shape_int32, output_dims, input_dims, input_int8, shape_dims, shape_int32, output_dims,
output_data_int8, golden_output_int8, golden_output_len, golden_dims, output_data_int8, golden_output_int8, golden_output_len, golden_dims,
golden_dims_len, false); golden_dims_len, false);
tflite::testing::TestReshape<uint8_t, kTfLiteUInt8>( tflite::testing::TestReshapeQuantized(
input_dims, input_uint8, shape_dims, shape_int32, output_dims, input_dims, input_uint8, shape_dims, shape_int32, output_dims,
output_data_uint8, golden_output_uint8, golden_output_len, golden_dims, output_data_uint8, golden_output_uint8, golden_output_len, golden_dims,
golden_dims_len, false); golden_dims_len, false);
@ -297,11 +315,11 @@ TF_LITE_MICRO_TEST(ReshapeWithScalarOutputShouldSucceed) {
output_dims, output_data_float, output_dims, output_data_float,
golden_output_float, golden_output_len, golden_output_float, golden_output_len,
golden_dims, golden_dims_len, false); golden_dims, golden_dims_len, false);
tflite::testing::TestReshape<int8_t, kTfLiteInt8>( tflite::testing::TestReshapeQuantized(
input_dims, input_int8, shape_dims, shape_int32, output_dims, input_dims, input_int8, shape_dims, shape_int32, output_dims,
output_data_int8, golden_output_int8, golden_output_len, golden_dims, output_data_int8, golden_output_int8, golden_output_len, golden_dims,
golden_dims_len, false); golden_dims_len, false);
tflite::testing::TestReshape<uint8_t, kTfLiteUInt8>( tflite::testing::TestReshapeQuantized(
input_dims, input_uint8, shape_dims, shape_int32, output_dims, input_dims, input_uint8, shape_dims, shape_int32, output_dims,
output_data_uint8, golden_output_uint8, golden_output_len, golden_dims, output_data_uint8, golden_output_uint8, golden_output_len, golden_dims,
golden_dims_len, false); golden_dims_len, false);
@ -327,8 +345,8 @@ TF_LITE_MICRO_TEST(ReshapeWithLegacyScalarOutputShouldSucceed) {
TfLiteIntArray* shape_dims = IntArrayFromInts(shape_dims_data); TfLiteIntArray* shape_dims = IntArrayFromInts(shape_dims_data);
const int32_t shape_data[] = {0}; const int32_t shape_data[] = {0};
auto shape_tensor = tflite::testing::CreateTensor<int32_t, kTfLiteInt32>( auto shape_tensor =
shape_data, shape_dims); tflite::testing::CreateInt32Tensor(shape_data, shape_dims);
const float expected_output_with_shape[] = {}; const float expected_output_with_shape[] = {};
const int expected_output_with_shape_len = 0; const int expected_output_with_shape_len = 0;
const float expected_output_no_shape[] = {3}; const float expected_output_no_shape[] = {3};