870 lines
30 KiB
C++
870 lines
30 KiB
C++
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include <cstdint>
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#include <functional>
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#include <memory>
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#include <random>
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#include <gtest/gtest.h>
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#include "tensorflow/lite/delegates/xnnpack/binary_elementwise_tester.h"
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#include "tensorflow/lite/delegates/xnnpack/xnnpack_delegate.h"
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namespace tflite {
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namespace xnnpack {
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TEST(Sub, 4DBy4D) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto shape_rng =
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std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
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const auto batch = shape_rng();
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const auto height = shape_rng();
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const auto width = shape_rng();
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const auto channels = shape_rng();
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BinaryElementwiseTester()
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.Input1Shape({batch, height, width, channels})
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.Input2Shape({batch, height, width, channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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}
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TEST(Sub, 4DBy4DBroadcastChannels) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto shape_rng =
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std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
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const auto batch = shape_rng();
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const auto height = shape_rng();
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const auto width = shape_rng();
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const auto channels = shape_rng();
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BinaryElementwiseTester()
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.Input1Shape({1, 1, 1, channels})
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.Input2Shape({batch, height, width, channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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BinaryElementwiseTester()
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.Input1Shape({batch, height, width, channels})
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.Input2Shape({1, 1, 1, channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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}
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TEST(Sub, 4DBy4DBroadcastWidth) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto shape_rng =
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std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
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const auto batch = shape_rng();
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const auto height = shape_rng();
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const auto width = shape_rng();
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const auto channels = shape_rng();
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BinaryElementwiseTester()
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.Input1Shape({1, 1, width, 1})
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.Input2Shape({batch, height, width, channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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BinaryElementwiseTester()
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.Input1Shape({batch, height, width, channels})
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.Input2Shape({1, 1, width, 1})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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}
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TEST(Sub, 4DBy4DBroadcastHeight) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto shape_rng =
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std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
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const auto batch = shape_rng();
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const auto height = shape_rng();
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const auto width = shape_rng();
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const auto channels = shape_rng();
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BinaryElementwiseTester()
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.Input1Shape({1, height, 1, 1})
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.Input2Shape({batch, height, width, channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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BinaryElementwiseTester()
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.Input1Shape({batch, height, width, channels})
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.Input2Shape({1, height, 1, 1})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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}
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TEST(Sub, 4DBy4DBroadcastBatch) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto shape_rng =
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std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
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const auto batch = shape_rng();
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const auto height = shape_rng();
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const auto width = shape_rng();
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const auto channels = shape_rng();
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BinaryElementwiseTester()
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.Input1Shape({batch, 1, 1, 1})
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.Input2Shape({batch, height, width, channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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BinaryElementwiseTester()
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.Input1Shape({batch, height, width, channels})
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.Input2Shape({batch, 1, 1, 1})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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}
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TEST(Sub, 4DBy4DBroadcastHeightWidthChannels) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto shape_rng =
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std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
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const auto batch = shape_rng();
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const auto height = shape_rng();
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const auto width = shape_rng();
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const auto channels = shape_rng();
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BinaryElementwiseTester()
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.Input1Shape({1, height, width, channels})
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.Input2Shape({batch, height, width, channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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BinaryElementwiseTester()
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.Input1Shape({batch, height, width, channels})
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.Input2Shape({1, height, width, channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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}
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TEST(Sub, 4DBy3D) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto shape_rng =
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std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
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const auto batch = shape_rng();
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const auto height = shape_rng();
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const auto width = shape_rng();
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const auto channels = shape_rng();
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BinaryElementwiseTester()
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.Input1Shape({height, width, channels})
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.Input2Shape({batch, height, width, channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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BinaryElementwiseTester()
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.Input1Shape({batch, height, width, channels})
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.Input2Shape({height, width, channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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}
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TEST(Sub, 4DBy2D) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto shape_rng =
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std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
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const auto batch = shape_rng();
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const auto height = shape_rng();
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const auto width = shape_rng();
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const auto channels = shape_rng();
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BinaryElementwiseTester()
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.Input1Shape({width, channels})
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.Input2Shape({batch, height, width, channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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BinaryElementwiseTester()
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.Input1Shape({batch, height, width, channels})
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.Input2Shape({width, channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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}
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TEST(Sub, 4DBy1D) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto shape_rng =
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std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
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const auto batch = shape_rng();
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const auto height = shape_rng();
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const auto width = shape_rng();
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const auto channels = shape_rng();
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BinaryElementwiseTester()
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.Input1Shape({channels})
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.Input2Shape({batch, height, width, channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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BinaryElementwiseTester()
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.Input1Shape({batch, height, width, channels})
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.Input2Shape({channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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}
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TEST(Sub, 4DBy0D) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto shape_rng =
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std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
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const auto batch = shape_rng();
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const auto height = shape_rng();
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const auto width = shape_rng();
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const auto channels = shape_rng();
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BinaryElementwiseTester()
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.Input1Shape({})
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.Input2Shape({batch, height, width, channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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BinaryElementwiseTester()
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.Input1Shape({batch, height, width, channels})
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.Input2Shape({})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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}
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TEST(Sub, 2DBy2D) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto shape_rng =
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std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
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const auto batch = shape_rng();
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const auto channels = shape_rng();
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BinaryElementwiseTester()
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.Input1Shape({batch, channels})
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.Input2Shape({batch, channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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}
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TEST(Sub, 2DBy1D) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto shape_rng =
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std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
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const auto batch = shape_rng();
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const auto channels = shape_rng();
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BinaryElementwiseTester()
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.Input1Shape({channels})
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.Input2Shape({batch, channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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BinaryElementwiseTester()
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.Input1Shape({batch, channels})
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.Input2Shape({channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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}
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TEST(Sub, 2DBy0D) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto shape_rng =
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std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
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const auto batch = shape_rng();
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const auto channels = shape_rng();
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BinaryElementwiseTester()
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.Input1Shape({})
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.Input2Shape({batch, channels})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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BinaryElementwiseTester()
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.Input1Shape({batch, channels})
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.Input2Shape({})
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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}
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TEST(Sub, 4DByStatic4D) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto shape_rng =
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std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
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const auto batch = shape_rng();
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const auto height = shape_rng();
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const auto width = shape_rng();
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const auto channels = shape_rng();
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BinaryElementwiseTester()
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.Input1Shape({batch, height, width, channels})
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.Input2Shape({batch, height, width, channels})
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.Input1Static(true)
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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BinaryElementwiseTester()
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.Input1Shape({batch, height, width, channels})
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.Input2Shape({batch, height, width, channels})
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.Input2Static(true)
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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}
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TEST(Sub, 4DByStatic4DBroadcastChannels) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto shape_rng =
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std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
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const auto batch = shape_rng();
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const auto height = shape_rng();
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const auto width = shape_rng();
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const auto channels = shape_rng();
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BinaryElementwiseTester()
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.Input1Shape({1, 1, 1, channels})
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.Input2Shape({batch, height, width, channels})
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.Input1Static(true)
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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BinaryElementwiseTester()
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.Input1Shape({batch, height, width, channels})
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.Input2Shape({1, 1, 1, channels})
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.Input2Static(true)
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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}
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TEST(Sub, 4DByStatic4DBroadcastWidth) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto shape_rng =
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std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
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const auto batch = shape_rng();
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const auto height = shape_rng();
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const auto width = shape_rng();
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const auto channels = shape_rng();
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BinaryElementwiseTester()
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.Input1Shape({1, 1, width, 1})
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.Input2Shape({batch, height, width, channels})
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.Input1Static(true)
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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BinaryElementwiseTester()
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.Input1Shape({batch, height, width, channels})
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.Input2Shape({1, 1, width, 1})
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.Input2Static(true)
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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}
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TEST(Sub, 4DByStatic4DBroadcastHeight) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto shape_rng =
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std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
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const auto batch = shape_rng();
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const auto height = shape_rng();
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const auto width = shape_rng();
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const auto channels = shape_rng();
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BinaryElementwiseTester()
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.Input1Shape({1, height, 1, 1})
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.Input2Shape({batch, height, width, channels})
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.Input1Static(true)
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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BinaryElementwiseTester()
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.Input1Shape({batch, height, width, channels})
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.Input2Shape({1, height, 1, 1})
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.Input2Static(true)
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.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
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}
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TEST(Sub, 4DByStatic4DBroadcastBatch) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto shape_rng =
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std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
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const auto batch = shape_rng();
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const auto height = shape_rng();
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const auto width = shape_rng();
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const auto channels = shape_rng();
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BinaryElementwiseTester()
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.Input1Shape({batch, 1, 1, 1})
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.Input2Shape({batch, height, width, channels})
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|
.Input1Static(true)
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, height, width, channels})
|
|
.Input2Shape({batch, 1, 1, 1})
|
|
.Input2Static(true)
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
}
|
|
|
|
TEST(Sub, 4DByStatic4DBroadcastHeightWidthChannels) {
|
|
std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
|
|
xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
|
|
TfLiteXNNPackDelegateDelete);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto shape_rng =
|
|
std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
|
|
const auto batch = shape_rng();
|
|
const auto height = shape_rng();
|
|
const auto width = shape_rng();
|
|
const auto channels = shape_rng();
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({1, height, width, channels})
|
|
.Input2Shape({batch, height, width, channels})
|
|
.Input1Static(true)
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, height, width, channels})
|
|
.Input2Shape({1, height, width, channels})
|
|
.Input2Static(true)
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
}
|
|
|
|
TEST(Sub, 4DByStatic3D) {
|
|
std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
|
|
xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
|
|
TfLiteXNNPackDelegateDelete);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto shape_rng =
|
|
std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
|
|
const auto batch = shape_rng();
|
|
const auto height = shape_rng();
|
|
const auto width = shape_rng();
|
|
const auto channels = shape_rng();
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({height, width, channels})
|
|
.Input2Shape({batch, height, width, channels})
|
|
.Input1Static(true)
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, height, width, channels})
|
|
.Input2Shape({height, width, channels})
|
|
.Input2Static(true)
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
}
|
|
|
|
TEST(Sub, 4DByStatic2D) {
|
|
std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
|
|
xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
|
|
TfLiteXNNPackDelegateDelete);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto shape_rng =
|
|
std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
|
|
const auto batch = shape_rng();
|
|
const auto height = shape_rng();
|
|
const auto width = shape_rng();
|
|
const auto channels = shape_rng();
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({width, channels})
|
|
.Input2Shape({batch, height, width, channels})
|
|
.Input1Static(true)
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, height, width, channels})
|
|
.Input2Shape({width, channels})
|
|
.Input2Static(true)
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
}
|
|
|
|
TEST(Sub, 4DByStatic1D) {
|
|
std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
|
|
xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
|
|
TfLiteXNNPackDelegateDelete);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto shape_rng =
|
|
std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
|
|
const auto batch = shape_rng();
|
|
const auto height = shape_rng();
|
|
const auto width = shape_rng();
|
|
const auto channels = shape_rng();
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({channels})
|
|
.Input2Shape({batch, height, width, channels})
|
|
.Input1Static(true)
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, height, width, channels})
|
|
.Input2Shape({channels})
|
|
.Input2Static(true)
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
}
|
|
|
|
TEST(Sub, 4DByStatic0D) {
|
|
std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
|
|
xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
|
|
TfLiteXNNPackDelegateDelete);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto shape_rng =
|
|
std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
|
|
const auto batch = shape_rng();
|
|
const auto height = shape_rng();
|
|
const auto width = shape_rng();
|
|
const auto channels = shape_rng();
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({})
|
|
.Input2Shape({batch, height, width, channels})
|
|
.Input1Static(true)
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, height, width, channels})
|
|
.Input2Shape({})
|
|
.Input2Static(true)
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
}
|
|
|
|
TEST(Sub, 2DByStatic2D) {
|
|
std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
|
|
xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
|
|
TfLiteXNNPackDelegateDelete);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto shape_rng =
|
|
std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
|
|
const auto batch = shape_rng();
|
|
const auto channels = shape_rng();
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, channels})
|
|
.Input2Shape({batch, channels})
|
|
.Input1Static(true)
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, channels})
|
|
.Input2Shape({batch, channels})
|
|
.Input2Static(true)
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
}
|
|
|
|
TEST(Sub, 2DByStatic1D) {
|
|
std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
|
|
xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
|
|
TfLiteXNNPackDelegateDelete);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto shape_rng =
|
|
std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
|
|
const auto batch = shape_rng();
|
|
const auto channels = shape_rng();
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({channels})
|
|
.Input2Shape({batch, channels})
|
|
.Input1Static(true)
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, channels})
|
|
.Input2Shape({channels})
|
|
.Input2Static(true)
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
}
|
|
|
|
TEST(Sub, 2DByStatic0D) {
|
|
std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
|
|
xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
|
|
TfLiteXNNPackDelegateDelete);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto shape_rng =
|
|
std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
|
|
const auto batch = shape_rng();
|
|
const auto channels = shape_rng();
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({})
|
|
.Input2Shape({batch, channels})
|
|
.Input1Static(true)
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, channels})
|
|
.Input2Shape({})
|
|
.Input2Static(true)
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
}
|
|
|
|
TEST(Sub, FP16Weights) {
|
|
std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
|
|
xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
|
|
TfLiteXNNPackDelegateDelete);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto shape_rng =
|
|
std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
|
|
const auto batch = shape_rng();
|
|
const auto height = shape_rng();
|
|
const auto width = shape_rng();
|
|
const auto channels = shape_rng();
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, height, width, channels})
|
|
.Input2Shape({batch, height, width, channels})
|
|
.Input1Static(true)
|
|
.FP16Weights()
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, height, width, channels})
|
|
.Input2Shape({batch, height, width, channels})
|
|
.Input2Static(true)
|
|
.FP16Weights()
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
}
|
|
|
|
TEST(Sub, SparseWeights) {
|
|
std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
|
|
xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
|
|
TfLiteXNNPackDelegateDelete);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto shape_rng =
|
|
std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
|
|
const auto batch = shape_rng();
|
|
const auto height = shape_rng();
|
|
const auto width = shape_rng();
|
|
const auto channels = shape_rng();
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, height, width, channels})
|
|
.Input2Shape({batch, height, width, channels})
|
|
.Input1Static(true)
|
|
.SparseWeights()
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, height, width, channels})
|
|
.Input2Shape({batch, height, width, channels})
|
|
.Input2Static(true)
|
|
.SparseWeights()
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
}
|
|
|
|
TEST(Sub, ReluActivation) {
|
|
std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
|
|
xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
|
|
TfLiteXNNPackDelegateDelete);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto shape_rng =
|
|
std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
|
|
const auto batch = shape_rng();
|
|
const auto height = shape_rng();
|
|
const auto width = shape_rng();
|
|
const auto channels = shape_rng();
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, height, width, channels})
|
|
.Input2Shape({batch, height, width, channels})
|
|
.ReluActivation()
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
}
|
|
|
|
TEST(Sub, Relu6Activation) {
|
|
std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
|
|
xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
|
|
TfLiteXNNPackDelegateDelete);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto shape_rng =
|
|
std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
|
|
const auto batch = shape_rng();
|
|
const auto height = shape_rng();
|
|
const auto width = shape_rng();
|
|
const auto channels = shape_rng();
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, height, width, channels})
|
|
.Input2Shape({batch, height, width, channels})
|
|
.Relu6Activation()
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
}
|
|
|
|
TEST(Sub, ReluMinus1To1Activation) {
|
|
std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
|
|
xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
|
|
TfLiteXNNPackDelegateDelete);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto shape_rng =
|
|
std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
|
|
const auto batch = shape_rng();
|
|
const auto height = shape_rng();
|
|
const auto width = shape_rng();
|
|
const auto channels = shape_rng();
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, height, width, channels})
|
|
.Input2Shape({batch, height, width, channels})
|
|
.ReluMinus1To1Activation()
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
}
|
|
|
|
TEST(Sub, DISABLED_TanhActivation) {
|
|
std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
|
|
xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
|
|
TfLiteXNNPackDelegateDelete);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto shape_rng =
|
|
std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
|
|
const auto batch = shape_rng();
|
|
const auto height = shape_rng();
|
|
const auto width = shape_rng();
|
|
const auto channels = shape_rng();
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, height, width, channels})
|
|
.Input2Shape({batch, height, width, channels})
|
|
.TanhActivation()
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
}
|
|
|
|
TEST(Sub, DISABLED_SignBitActivation) {
|
|
std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
|
|
xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
|
|
TfLiteXNNPackDelegateDelete);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto shape_rng =
|
|
std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
|
|
const auto batch = shape_rng();
|
|
const auto height = shape_rng();
|
|
const auto width = shape_rng();
|
|
const auto channels = shape_rng();
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, height, width, channels})
|
|
.Input2Shape({batch, height, width, channels})
|
|
.SignBitActivation()
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
}
|
|
|
|
TEST(Sub, MultiThreading) {
|
|
TfLiteXNNPackDelegateOptions delegate_options =
|
|
TfLiteXNNPackDelegateOptionsDefault();
|
|
delegate_options.num_threads = 2;
|
|
std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
|
|
xnnpack_delegate(TfLiteXNNPackDelegateCreate(&delegate_options),
|
|
TfLiteXNNPackDelegateDelete);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto shape_rng =
|
|
std::bind(std::uniform_int_distribution<int32_t>(2, 5), std::ref(rng));
|
|
const auto batch = shape_rng();
|
|
const auto height = shape_rng();
|
|
const auto width = shape_rng();
|
|
const auto channels = shape_rng();
|
|
|
|
BinaryElementwiseTester()
|
|
.Input1Shape({batch, height, width, channels})
|
|
.Input2Shape({batch, height, width, channels})
|
|
.Test(BuiltinOperator_SUB, xnnpack_delegate.get());
|
|
}
|
|
|
|
} // namespace xnnpack
|
|
} // namespace tflite
|