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#include "tensorflow/core/util/tensor_slice_util.h"
#include <gtest/gtest.h>
namespace tensorflow {
namespace {
// Testing copying data from one tensor slice to another tensor slice
TEST(TensorSliceUtilTest, CopyTensorSliceToTensorSlice) {
// We map out a 2-d tensor of size 4 X 5 and we want the final results look
// 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
//
TensorShape shape({4, 5});
// We will try to do a couple of slice to slice copies.
// Case 1: simple identity copy
// The slice is the "interior" of the matrix
// . . . . .
// . 6 7 8 .
// , 11 12 13 .
// . . . . .
{
TensorSlice slice_s = TensorSlice::ParseOrDie("1,2:1,3");
TensorSlice slice_d = TensorSlice::ParseOrDie("1,2:1,3");
const float ptr_s[] = {6, 7, 8, 11, 12, 13};
float ptr_d[6];
for (int i = 0; i < 6; ++i) {
ptr_d[i] = 0;
}
EXPECT_TRUE(CopyDataFromTensorSliceToTensorSlice(shape, slice_s, slice_d,
ptr_s, ptr_d));
for (int i = 0; i < 6; ++i) {
EXPECT_EQ(ptr_s[i], ptr_d[i]);
}
}
// Case 2: no intersection
{
TensorSlice slice_s = TensorSlice::ParseOrDie("1,2:1,3");
TensorSlice slice_d = TensorSlice::ParseOrDie("3,1:2,3");
const float ptr_s[] = {6, 7, 8, 11, 12, 13};
float ptr_d[6];
EXPECT_FALSE(CopyDataFromTensorSliceToTensorSlice(shape, slice_s, slice_d,
ptr_s, ptr_d));
}
// Case 3: a trickier case
// The source slice is on the upper left corner:
// 0 1 2 . .
// 5 6 7 . .
// 10 11 12 . .
// . . . . .
//
// The destination slice is the right part of the middle stripe:
// . . . . .
// . X X X X
// . X X X X
// . . . . .
//
// So we expect to copy over the 2X2 block:
// . . . . .
// . 6 7 . .
// . 11 12 . .
// . . . . .
{
TensorSlice slice_s = TensorSlice::ParseOrDie("0,3:0,3");
TensorSlice slice_d = TensorSlice::ParseOrDie("1,2:1,4");
const float ptr_s[] = {0, 1, 2, 5, 6, 7, 10, 11, 12};
float ptr_d[8];
for (int i = 0; i < 8; ++i) {
ptr_d[i] = 0;
}
EXPECT_TRUE(CopyDataFromTensorSliceToTensorSlice(shape, slice_s, slice_d,
ptr_s, ptr_d));
const float expected[] = {6, 7, 0, 0, 11, 12, 0, 0};
for (int i = 0; i < 8; ++i) {
EXPECT_EQ(expected[i], ptr_d[i]);
}
}
}
} // namespace
} // namespace tensorflow
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