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-rw-r--r--third_party/jpeg-xl/lib/jxl/convolve-inl.h20
1 files changed, 11 insertions, 9 deletions
diff --git a/third_party/jpeg-xl/lib/jxl/convolve-inl.h b/third_party/jpeg-xl/lib/jxl/convolve-inl.h
index cd79153a3a..949fd8ad67 100644
--- a/third_party/jpeg-xl/lib/jxl/convolve-inl.h
+++ b/third_party/jpeg-xl/lib/jxl/convolve-inl.h
@@ -118,7 +118,7 @@ class Neighbors {
// Returns indices for SetTableIndices such that TableLookupLanes on the
// rightmost unaligned vector (rightmost sample in its most-significant lane)
// returns the mirrored values, with the mirror outside the last valid sample.
-static inline const int32_t* MirrorLanes(const size_t mod) {
+inline const int32_t* MirrorLanes(const size_t mod) {
const HWY_CAPPED(float, 16) d;
constexpr size_t kN = MaxLanes(d);
@@ -181,7 +181,7 @@ class ConvolveT {
JXL_CHECK(SameSize(rect, *out));
JXL_CHECK(rect.xsize() >= MinWidth());
- static_assert(int64_t(kRadius) <= 3,
+ static_assert(static_cast<int64_t>(kRadius) <= 3,
"Must handle [0, kRadius) and >= kRadius");
switch (rect.xsize() % Lanes(Simd())) {
case 0:
@@ -273,15 +273,17 @@ class ConvolveT {
const Weights& weights, ThreadPool* pool,
Image* out) {
const int64_t ysize = rect.ysize();
- RunBorderRows<kSizeModN>(in, rect, 0, std::min(int64_t(kRadius), ysize),
+ RunBorderRows<kSizeModN>(in, rect, 0,
+ std::min(static_cast<int64_t>(kRadius), ysize),
weights, out);
- if (ysize > 2 * int64_t(kRadius)) {
- RunInteriorRows<kSizeModN>(in, rect, int64_t(kRadius),
- ysize - int64_t(kRadius), weights, pool, out);
+ if (ysize > 2 * static_cast<int64_t>(kRadius)) {
+ RunInteriorRows<kSizeModN>(in, rect, static_cast<int64_t>(kRadius),
+ ysize - static_cast<int64_t>(kRadius), weights,
+ pool, out);
}
- if (ysize > int64_t(kRadius)) {
- RunBorderRows<kSizeModN>(in, rect, ysize - int64_t(kRadius), ysize,
- weights, out);
+ if (ysize > static_cast<int64_t>(kRadius)) {
+ RunBorderRows<kSizeModN>(in, rect, ysize - static_cast<int64_t>(kRadius),
+ ysize, weights, out);
}
}
};