diff options
Diffstat (limited to 'tensorflow/contrib/lite/kernels/internal/types.h')
| -rw-r--r-- | tensorflow/contrib/lite/kernels/internal/types.h | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/contrib/lite/kernels/internal/types.h b/tensorflow/contrib/lite/kernels/internal/types.h index b39347758a..c6bc6074d4 100644 --- a/tensorflow/contrib/lite/kernels/internal/types.h +++ b/tensorflow/contrib/lite/kernels/internal/types.h @@ -18,7 +18,6 @@ limitations under the License. #include <algorithm> #include <cstring> -#include "absl/base/macros.h" #include "tensorflow/contrib/lite/kernels/internal/compatibility.h" namespace tflite { @@ -269,8 +268,9 @@ class RuntimeShape { // This creates a shape padded to the desired size with the specified value. RuntimeShape(int new_shape_size, const RuntimeShape& shape, int pad_value) : size_(0) { + // If the following check fails, it is likely because a 4D-only kernel is + // being used with an array of larger dimension count. TFLITE_CHECK_GE(new_shape_size, shape.DimensionsCount()); - TFLITE_CHECK_LE(new_shape_size, kMaxSmallSize); Resize(new_shape_size); const int size_increase = new_shape_size - shape.DimensionsCount(); for (int i = 0; i < size_increase; ++i) { @@ -441,7 +441,7 @@ inline int FlatSize(const Dims<N>& dims) { return flat_size; } -ABSL_DEPRECATED("Prefer FlatSize.") +TFLITE_DEPRECATED("Prefer FlatSize.") inline int RequiredBufferSizeForDims(const Dims<4>& dims) { return FlatSize(dims); } |