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#include "tensorflow/core/util/tensor_slice_reader.h"
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/lib/core/status_test_util.h"
#include "tensorflow/core/lib/core/stringpiece.h"
#include "tensorflow/core/lib/io/path.h"
#include "tensorflow/core/lib/strings/strcat.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/port.h"
#include "tensorflow/core/platform/protobuf.h"
#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/util/saved_tensor_slice_util.h"
#include "tensorflow/core/util/tensor_slice_writer.h"
#include "tensorflow/core/util/tensor_slice_reader_cache.h"
#include <gtest/gtest.h>
namespace tensorflow {
namespace checkpoint {
namespace {
// A simple test where we write a few tensor slices with a number of tensor
// slice writers and then read them back from a tensor slice reader.
//
// We have a 2-d tensor of shape 4 X 5 that looks like this:
//
// 0 1 2 3 4
// 5 6 7 8 9
// 10 11 12 13 14
// 15 16 17 18 19
//
// We assume this is a row-major matrix.
void SimpleFloatHelper(TensorSliceWriter::CreateBuilderFunction create_function,
TensorSliceReader::OpenTableFunction open_function) {
const string fname_base = io::JoinPath(testing::TmpDir(), "float_checkpoint");
TensorShape shape({4, 5});
// File #0 contains a slice that is the top two rows:
//
// 0 1 2 3 4
// 5 6 7 8 9
// . . . . .
// . . . . .
{
const string fname = strings::StrCat(fname_base, "_0");
TensorSliceWriter writer(fname, create_function);
const float data[] = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
TensorSlice slice = TensorSlice::ParseOrDie("0,2:-");
TF_CHECK_OK(writer.Add("test", shape, slice, data));
TF_CHECK_OK(writer.Finish());
}
// File #1 contains two slices:
//
// slice #0 is the bottom left corner
// . . . . .
// . . . . .
// 10 11 12 . .
// 15 16 17 . .
//
// slice #1 is the bottom right corner
// . . . . .
// . . . . .
// . . . . .
// . . . 18 19
{
const string fname = strings::StrCat(fname_base, "_1");
TensorSliceWriter writer(fname, create_function);
// slice #0
{
const float data[] = {10, 11, 12, 15, 16, 17};
TensorSlice slice = TensorSlice::ParseOrDie("2,2:0,3");
TF_CHECK_OK(writer.Add("test", shape, slice, data));
}
// slice #1
{
const float data[] = {18, 19};
TensorSlice slice = TensorSlice::ParseOrDie("3,1:3,2");
TF_CHECK_OK(writer.Add("test", shape, slice, data));
}
TF_CHECK_OK(writer.Finish());
}
// Notice that we leave a hole in the tensor
// . . . . .
// . . . . .
// . . . (13) (14)
// . . . . .
// Now we need to read the tensor slices
const string filepattern = strings::StrCat(fname_base, "_*");
TensorSliceReader reader(filepattern, open_function);
EXPECT_OK(reader.status());
EXPECT_EQ(2, reader.num_files());
// We query some of the tensors
{
TensorShape shape;
DataType type;
EXPECT_TRUE(reader.HasTensor("test", &shape, &type));
EXPECT_EQ(
"dim { size: 4 } "
"dim { size: 5 }",
shape.DebugString());
EXPECT_EQ(DT_FLOAT, type);
EXPECT_FALSE(reader.HasTensor("don't exist", nullptr, nullptr));
}
// Now we query some slices
//
// Slice #1 is an exact match
// 0 1 2 3 4
// 5 6 7 8 9
// . . . . .
// . . . . .
{
TensorSlice s = TensorSlice::ParseOrDie("0,2:-");
float expected[] = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
float results[10];
EXPECT_TRUE(reader.CopySliceData("test", s, results));
for (int i = 0; i < 10; ++i) {
EXPECT_EQ(expected[i], results[i]);
}
}
// Slice #2 is a subset match
// . . . . .
// 5 6 7 8 9
// . . . . .
// . . . . .
{
TensorSlice s = TensorSlice::ParseOrDie("1,1:-");
float expected[] = {5, 6, 7, 8, 9};
float results[5];
EXPECT_TRUE(reader.CopySliceData("test", s, results));
for (int i = 0; i < 5; ++i) {
EXPECT_EQ(expected[i], results[i]);
}
}
// Slice #4 includes the hole and so there is no match
// . . . . .
// . . 7 8 9
// . . 12 13 14
// . . . . .
{
TensorSlice s = TensorSlice::ParseOrDie("1,2:2,3");
float results[6];
EXPECT_FALSE(reader.CopySliceData("test", s, results));
}
}
TEST(TensorSliceReaderTest, SimpleFloat) {
SimpleFloatHelper(CreateTableTensorSliceBuilder, OpenTableTensorSliceReader);
}
template <typename T, typename U>
void SimpleIntXHelper(TensorSliceWriter::CreateBuilderFunction create_function,
TensorSliceReader::OpenTableFunction open_function,
const string& checkpoint_file) {
const string fname_base = io::JoinPath(testing::TmpDir(), checkpoint_file);
TensorShape shape({4, 5});
// File #0 contains a slice that is the top two rows:
//
// 0 1 2 3 4
// 5 6 7 8 9
// . . . . .
// . . . . .
{
const string fname = strings::StrCat(fname_base, "_0");
TensorSliceWriter writer(fname, create_function);
const T data[] = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
TensorSlice slice = TensorSlice::ParseOrDie("0,2:-");
TF_CHECK_OK(writer.Add("test", shape, slice, data));
TF_CHECK_OK(writer.Finish());
}
// File #1 contains two slices:
//
// slice #0 is the bottom left corner
// . . . . .
// . . . . .
// 10 11 12 . .
// 15 16 17 . .
//
// slice #1 is the bottom right corner
// . . . . .
// . . . . .
// . . . . .
// . . . 18 19
{
const string fname = strings::StrCat(fname_base, "_1");
TensorSliceWriter writer(fname, create_function);
// slice #0
{
const T data[] = {10, 11, 12, 15, 16, 17};
TensorSlice slice = TensorSlice::ParseOrDie("2,2:0,3");
TF_CHECK_OK(writer.Add("test", shape, slice, data));
}
// slice #1
{
const T data[] = {18, 19};
TensorSlice slice = TensorSlice::ParseOrDie("3,1:3,2");
TF_CHECK_OK(writer.Add("test", shape, slice, data));
}
TF_CHECK_OK(writer.Finish());
}
// Notice that we leave a hole in the tensor
// . . . . .
// . . . . .
// . . . (13) (14)
// . . . . .
// Now we need to read the tensor slices
const string filepattern = strings::StrCat(fname_base, "_*");
TensorSliceReader reader(filepattern, open_function);
EXPECT_OK(reader.status());
EXPECT_EQ(2, reader.num_files());
// We query some of the tensors
{
TensorShape shape;
DataType type;
EXPECT_TRUE(reader.HasTensor("test", &shape, &type));
EXPECT_EQ(
"dim { size: 4 } "
"dim { size: 5 }",
shape.DebugString());
EXPECT_EQ(DataTypeToEnum<T>::v(), type);
EXPECT_FALSE(reader.HasTensor("don't exist", nullptr, nullptr));
}
// Now we query some slices
//
// Slice #1 is an exact match
// 0 1 2 3 4
// 5 6 7 8 9
// . . . . .
// . . . . .
{
TensorSlice s = TensorSlice::ParseOrDie("0,2:-");
T expected[] = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
U results[10];
EXPECT_TRUE(reader.CopySliceData("test", s, results));
for (int i = 0; i < 10; ++i) {
EXPECT_EQ(expected[i], results[i]);
}
}
// Slice #2 is a subset match
// . . . . .
// 5 6 7 8 9
// . . . . .
// . . . . .
{
TensorSlice s = TensorSlice::ParseOrDie("1,1:-");
T expected[] = {5, 6, 7, 8, 9};
U results[5];
EXPECT_TRUE(reader.CopySliceData("test", s, results));
for (int i = 0; i < 5; ++i) {
EXPECT_EQ(expected[i], results[i]);
}
}
// Slice #4 includes the hole and so there is no match
// . . . . .
// . . 7 8 9
// . . 12 13 14
// . . . . .
{
TensorSlice s = TensorSlice::ParseOrDie("1,2:2,3");
U results[6];
EXPECT_FALSE(reader.CopySliceData("test", s, results));
}
}
#define TEST_SIMPLE_INT(TYPE, SAVED_TYPE) \
TEST(TensorSliceReaderTest, Simple##TYPE) { \
SimpleIntXHelper<TYPE, SAVED_TYPE>(CreateTableTensorSliceBuilder, \
OpenTableTensorSliceReader, \
#TYPE "_checkpoint"); \
}
TEST_SIMPLE_INT(int32, int32)
TEST_SIMPLE_INT(int64, int64)
TEST_SIMPLE_INT(int16, int32)
TEST_SIMPLE_INT(int8, int32)
TEST_SIMPLE_INT(uint8, int32)
void CachedTensorSliceReaderTesterHelper(
TensorSliceWriter::CreateBuilderFunction create_function,
TensorSliceReader::OpenTableFunction open_function) {
const string fname_base = io::JoinPath(testing::TmpDir(), "float_checkpoint");
TensorShape shape({4, 5});
// File #0 contains a slice that is the top two rows:
//
// 0 1 2 3 4
// 5 6 7 8 9
// . . . . .
// . . . . .
{
const string fname = strings::StrCat(fname_base, "_0");
TensorSliceWriter writer(fname, create_function);
const float data[] = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
TensorSlice slice = TensorSlice::ParseOrDie("0,2:-");
TF_CHECK_OK(writer.Add("test", shape, slice, data));
TF_CHECK_OK(writer.Finish());
}
// File #1 contains two slices:
//
// slice #0 is the bottom left corner
// . . . . .
// . . . . .
// 10 11 12 . .
// 15 16 17 . .
//
// slice #1 is the bottom right corner
// . . . . .
// . . . . .
// . . . . .
// . . . 18 19
{
const string fname = strings::StrCat(fname_base, "_1");
TensorSliceWriter writer(fname, create_function);
// slice #0
{
const float data[] = {10, 11, 12, 15, 16, 17};
TensorSlice slice = TensorSlice::ParseOrDie("2,2:0,3");
TF_CHECK_OK(writer.Add("test", shape, slice, data));
}
// slice #1
{
const float data[] = {18, 19};
TensorSlice slice = TensorSlice::ParseOrDie("3,1:3,2");
TF_CHECK_OK(writer.Add("test", shape, slice, data));
}
TF_CHECK_OK(writer.Finish());
}
// Notice that we leave a hole in the tensor
// . . . . .
// . . . . .
// . . . (13) (14)
// . . . . .
// Now we need to read the tensor slices
TensorSliceReaderCache cache;
const string filepattern = strings::StrCat(fname_base, "_*");
const TensorSliceReader* reader = cache.GetReader(
filepattern, open_function, TensorSliceReader::kLoadAllShards);
EXPECT_TRUE(reader != nullptr);
EXPECT_EQ(2, reader->num_files());
// We query some of the tensors
{
TensorShape shape;
DataType type;
EXPECT_TRUE(reader->HasTensor("test", &shape, &type));
EXPECT_EQ(
"dim { size: 4 } "
"dim { size: 5 }",
shape.DebugString());
EXPECT_EQ(DT_FLOAT, type);
EXPECT_FALSE(reader->HasTensor("don't exist", nullptr, nullptr));
}
// Make sure the reader is cached.
const TensorSliceReader* reader2 = cache.GetReader(
filepattern, open_function, TensorSliceReader::kLoadAllShards);
EXPECT_EQ(reader, reader2);
reader = cache.GetReader("file_does_not_exist", open_function,
TensorSliceReader::kLoadAllShards);
EXPECT_TRUE(reader == nullptr);
}
TEST(CachedTensorSliceReaderTest, SimpleFloat) {
CachedTensorSliceReaderTesterHelper(CreateTableTensorSliceBuilder,
OpenTableTensorSliceReader);
}
} // namespace
} // namespace checkpoint
} // namespace tensorflow
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