diff options
| -rw-r--r-- | tensorflow/compiler/xla/service/gpu/ir_emitter_unnested.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/compiler/xla/service/gpu/ir_emitter_unnested.h b/tensorflow/compiler/xla/service/gpu/ir_emitter_unnested.h index a1cc38401c..59547c16d7 100644 --- a/tensorflow/compiler/xla/service/gpu/ir_emitter_unnested.h +++ b/tensorflow/compiler/xla/service/gpu/ir_emitter_unnested.h @@ -118,7 +118,7 @@ class IrEmitterUnnested : public IrEmitter { // Emits code that reduces a matrix of shape [height x width] to a vector of // [width]. Other parameters have the same meaning as those of // `EmitReductionToVector`. Note that input shape might not be - // [height x width], but can be bitcast to [height x weight] with "height" + // [height x width], but can be bitcast to [height x width] with "height" // being the major dimension. Status EmitColumnReduction( int64 height, int64 width, HloInstruction* reduce, @@ -134,7 +134,7 @@ class IrEmitterUnnested : public IrEmitter { // Emits code that reduces a 3D tensor of shape [depth x height x width] to a // vector of shape [height]. Other parameters have the same meaning as those // of `EmitReductionToVector`. Note that input shape might not be - // [depth x height x width], but can be bitcast to [depth x height x weight] + // [depth x height x width], but can be bitcast to [depth x height x width] // with "depth" being the most major dimension. Status EmitRowReduction( int64 depth, int64 height, int64 width, HloInstruction* reduce, |