TensorFlow: Initial commit of TensorFlow library.

TensorFlow is an open source software library for numerical computation
using data flow graphs.

Base CL: 107276108

1 files changed, 64 insertions, 0 deletions

diff --git a/tensorflow/core/lib/hash/hash_test.cc b/tensorflow/core/lib/hash/hash_test.cc
new file mode 100644
index 0000000000..9d3b970f3b
--- /dev/null
+++ b/tensorflow/core/lib/hash/hash_test.cc
@@ -0,0 +1,64 @@
+#include <vector>
+
+#include "tensorflow/core/lib/hash/hash.h"
+#include "tensorflow/core/platform/logging.h"
+#include "tensorflow/core/platform/test_benchmark.h"
+#include <gtest/gtest.h>
+
+namespace tensorflow {
+
+TEST(Hash, SignedUnsignedIssue) {
+  const unsigned char d1[1] = {0x62};
+  const unsigned char d2[2] = {0xc3, 0x97};
+  const unsigned char d3[3] = {0xe2, 0x99, 0xa5};
+  const unsigned char d4[4] = {0xe1, 0x80, 0xb9, 0x32};
+  const unsigned char d5[48] = {
+      0x01, 0xc0, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+      0x00, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00,
+      0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x18, 0x28, 0x00, 0x00, 0x00,
+      0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  };
+
+  struct Case {
+    uint32 hash32;
+    uint64 hash64;
+    const unsigned char* data;
+    size_t size;
+    uint32 seed;
+  };
+
+  for (Case c : std::vector<Case>{
+           {0x471a8188u, 0x4c61ea3eeda4cb87ull, nullptr, 0, 0xbc9f1d34},
+           {0xd615eba5u, 0x091309f7ef916c8aull, d1, sizeof(d1), 0xbc9f1d34},
+           {0x0c3cccdau, 0xa815bcdf1d1af01cull, d2, sizeof(d2), 0xbc9f1d34},
+           {0x3ba37e0eu, 0x02167564e4d06430ull, d3, sizeof(d3), 0xbc9f1d34},
+           {0x16174eb3u, 0x8f7ed82ffc21071full, d4, sizeof(d4), 0xbc9f1d34},
+           {0x98b1926cu, 0xce196580c97aff1eull, d5, sizeof(d5), 0x12345678},
+       }) {
+    EXPECT_EQ(c.hash32,
+              Hash32(reinterpret_cast<const char*>(c.data), c.size, c.seed));
+    EXPECT_EQ(c.hash64,
+              Hash64(reinterpret_cast<const char*>(c.data), c.size, c.seed));
+
+    // Check hashes with inputs aligned differently.
+    for (int align = 1; align <= 7; align++) {
+      std::string input(align, 'x');
+      input.append(reinterpret_cast<const char*>(c.data), c.size);
+      EXPECT_EQ(c.hash32, Hash32(&input[align], c.size, c.seed));
+      EXPECT_EQ(c.hash64, Hash64(&input[align], c.size, c.seed));
+    }
+  }
+}
+
+static void BM_Hash32(int iters, int len) {
+  std::string input(len, 'x');
+  uint32 h = 0;
+  for (int i = 0; i < iters; i++) {
+    h = Hash32(input.data(), len, 1);
+  }
+  testing::BytesProcessed(static_cast<int64>(iters) * len);
+  VLOG(1) << h;
+}
+BENCHMARK(BM_Hash32)->Range(1, 1024);
+
+}  // namespace tensorflow