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      1 /* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
      2 
      3 Licensed under the Apache License, Version 2.0 (the "License");
      4 you may not use this file except in compliance with the License.
      5 You may obtain a copy of the License at
      6 
      7     http://www.apache.org/licenses/LICENSE-2.0
      8 
      9 Unless required by applicable law or agreed to in writing, software
     10 distributed under the License is distributed on an "AS IS" BASIS,
     11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     12 See the License for the specific language governing permissions and
     13 limitations under the License.
     14 ==============================================================================*/
     15 
     16 #include "tensorflow/core/lib/core/arena.h"
     17 
     18 #include "tensorflow/core/platform/macros.h"
     19 #include "tensorflow/core/platform/test.h"
     20 
     21 namespace tensorflow {
     22 namespace core {
     23 namespace {
     24 
     25 // Write random data to allocated memory
     26 static void TestMemory(void* mem, int size) {
     27   // Check that we can memset the entire memory
     28   memset(mem, 0xaa, size);
     29 
     30   // Do some memory allocation to check that the arena doesn't mess up
     31   // the internal memory allocator
     32   char* tmp[100];
     33   for (size_t i = 0; i < TF_ARRAYSIZE(tmp); i++) {
     34     tmp[i] = new char[i * i + 1];
     35   }
     36 
     37   memset(mem, 0xcc, size);
     38 
     39   // Free up the allocated memory;
     40   for (size_t i = 0; i < TF_ARRAYSIZE(tmp); i++) {
     41     delete[] tmp[i];
     42   }
     43 
     44   // Check that we can memset the entire memory
     45   memset(mem, 0xee, size);
     46 }
     47 
     48 TEST(ArenaTest, TestBasicArena) {
     49   Arena a(1024);
     50   char* memory = a.Alloc(100);
     51   ASSERT_NE(memory, nullptr);
     52   TestMemory(memory, 100);
     53 
     54   // Allocate again
     55   memory = a.Alloc(100);
     56   ASSERT_NE(memory, nullptr);
     57   TestMemory(memory, 100);
     58 }
     59 
     60 TEST(ArenaTest, TestAlignment) {
     61   Arena a(1024);
     62   char* byte0 = a.Alloc(1);
     63   char* alloc_aligned8 = a.AllocAligned(17, 8);
     64   EXPECT_EQ(alloc_aligned8 - byte0, 8);
     65   char* alloc_aligned8_b = a.AllocAligned(8, 8);
     66   EXPECT_EQ(alloc_aligned8_b - alloc_aligned8, 24);
     67   char* alloc_aligned8_c = a.AllocAligned(16, 8);
     68   EXPECT_EQ(alloc_aligned8_c - alloc_aligned8_b, 8);
     69   char* alloc_aligned8_d = a.AllocAligned(8, 1);
     70   EXPECT_EQ(alloc_aligned8_d - alloc_aligned8_c, 16);
     71 }
     72 
     73 TEST(ArenaTest, TestVariousArenaSizes) {
     74   {
     75     Arena a(1024);
     76 
     77     // Allocate blocksize
     78     char* memory = a.Alloc(1024);
     79     ASSERT_NE(memory, nullptr);
     80     TestMemory(memory, 1024);
     81 
     82     // Allocate another blocksize
     83     char* memory2 = a.Alloc(1024);
     84     ASSERT_NE(memory2, nullptr);
     85     TestMemory(memory2, 1024);
     86   }
     87 
     88   // Allocate an arena and allocate two blocks
     89   // that together exceed a block size
     90   {
     91     Arena a(1024);
     92 
     93     //
     94     char* memory = a.Alloc(768);
     95     ASSERT_NE(memory, nullptr);
     96     TestMemory(memory, 768);
     97 
     98     // Allocate another blocksize
     99     char* memory2 = a.Alloc(768);
    100     ASSERT_NE(memory2, nullptr);
    101     TestMemory(memory2, 768);
    102   }
    103 
    104   // Allocate larger than a blocksize
    105   {
    106     Arena a(1024);
    107 
    108     char* memory = a.Alloc(10240);
    109     ASSERT_NE(memory, nullptr);
    110     TestMemory(memory, 10240);
    111 
    112     // Allocate another blocksize
    113     char* memory2 = a.Alloc(1234);
    114     ASSERT_NE(memory2, nullptr);
    115     TestMemory(memory2, 1234);
    116   }
    117 }
    118 
    119 }  // namespace
    120 }  // namespace core
    121 }  // namespace tensorflow
    122