diff options
Diffstat (limited to 'tensorflow/compiler/xla/service/cpu/cpu_transfer_manager.cc')
-rw-r--r-- | tensorflow/compiler/xla/service/cpu/cpu_transfer_manager.cc | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/tensorflow/compiler/xla/service/cpu/cpu_transfer_manager.cc b/tensorflow/compiler/xla/service/cpu/cpu_transfer_manager.cc index b07cd675ff..0df2abf001 100644 --- a/tensorflow/compiler/xla/service/cpu/cpu_transfer_manager.cc +++ b/tensorflow/compiler/xla/service/cpu/cpu_transfer_manager.cc @@ -104,7 +104,7 @@ Status CpuTransferManager::TransferLiteralToInfeed( if (ShapeUtil::IsNestedTuple(shape)) { return Unimplemented( "Infeed with a nested tuple shape is not supported: %s", - ShapeUtil::HumanString(literal.shape()).c_str()); + ShapeUtil::HumanString(literal.shape())); } // For a tuple, we transfer each of its elements to the device and @@ -152,11 +152,11 @@ CpuTransferManager::TransferBufferToInfeedInternal(se::StreamExecutor* executor, int64 size, const void* source) { if (size > std::numeric_limits<int32>::max()) { - return InvalidArgument("Infeed shape is too large: needs %lld bytes", size); + return InvalidArgument("Infeed shape is too large: needs %d bytes", size); } if (size <= 0) { - return InvalidArgument("Infeed shape must have positive size; got %lld", + return InvalidArgument("Infeed shape must have positive size; got %d", size); } @@ -244,12 +244,12 @@ StatusOr<Shape> CpuTransferManager::TransferBuffersFromOutfeedInternal( for (auto b : buffer_data) { int64 size = b.second; if (size > std::numeric_limits<int32>::max()) { - return InvalidArgument("Outfeed shape is too large: needs %lld bytes", + return InvalidArgument("Outfeed shape is too large: needs %d bytes", size); } if (size <= 0) { - return InvalidArgument("Outfeed shape must have positive size; got %lld", + return InvalidArgument("Outfeed shape must have positive size; got %d", size); } |