chore: import upstream snapshot with attribution

test/cpp/phi/kernels/test_cache.cc

@@ -0,0 +1,68 @@
+// Copyright (c) 2022 PaddlePaddle 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 <gtest/gtest.h>
+
+#include <cmath>
+#include <functional>
+
+#include "paddle/phi/kernels/autotune/cache.h"
+
+#include "glog/logging.h"
+
+enum ConvAlgos { GEMMKernel = 0, CuDNNKernel_1 = 1, CuDNNKernel_2 = 2 };
+
+TEST(AlgosCache, AlgosCache) {
+  auto autotune_cache = phi::autotune::AutoTuneCache::Instance();
+  auto& cache =
+      autotune_cache.GetConv(phi::autotune::AlgorithmType::kConvForward);
+
+  std::vector<int64_t> x_shape = {4, 224, 224, 3};
+  std::vector<int64_t> w_shape = {32, 3, 3, 3};
+  std::vector<int> paddings = {0, 0};
+  std::vector<int> strides = {2, 2};
+  std::vector<int> dilations = {1, 1};
+  phi::DataType dtype = phi::CppTypeToDataType<float>::Type();
+
+  phi::autotune::ConvCacheKey key(
+      x_shape, w_shape, paddings, strides, dilations, dtype, 0, 0);
+  EXPECT_EQ(cache.Find(key), false);
+  phi::autotune::ConvAutoTuneResult node(
+      static_cast<int64_t>(ConvAlgos::GEMMKernel), 0, false);
+  cache.Set(key, node);
+  EXPECT_EQ(cache.Size(), 1);
+  EXPECT_EQ(cache.Find(key), true);
+  auto algo = cache.Get(key);
+  EXPECT_EQ(algo.algo, ConvAlgos::GEMMKernel);
+
+  x_shape = {4, 128, 128, 3};
+  phi::autotune::ConvCacheKey key1(
+      x_shape, w_shape, paddings, strides, dilations, dtype, 0, 1);
+  EXPECT_EQ(cache.Find(key1), false);
+  phi::autotune::ConvAutoTuneResult node1(
+      static_cast<int64_t>(ConvAlgos::CuDNNKernel_1), 0, false);
+  cache.Set(key1, node1);
+  EXPECT_EQ(cache.Size(), 2);
+  EXPECT_EQ(cache.CacheHits(), 1);
+  EXPECT_EQ(cache.CacheMisses(), 2);
+
+  float cache_hit_rate = static_cast<float>(1) / static_cast<float>(3);
+  EXPECT_LT(std::abs(cache_hit_rate - cache.CacheHitRate()), 1e-5);
+
+  autotune_cache.UpdateStatus();
+  EXPECT_EQ(autotune_cache.Size(), 2);
+  EXPECT_EQ(autotune_cache.CacheHits(), 1);
+  EXPECT_EQ(autotune_cache.CacheMisses(), 2);
+  EXPECT_LT(std::abs(cache_hit_rate - autotune_cache.CacheHitRate()), 1e-5);
+}