From 5039c3afb81e7d3166f53e71de73650575745971 Mon Sep 17 00:00:00 2001 From: "A. Unique TensorFlower" Date: Thu, 22 Feb 2024 02:14:03 -0800 Subject: [PATCH] Automated Code Change PiperOrigin-RevId: 609295564 --- tensorflow/core/kernels/uniform_quant_ops/math_utils.cc | 2 +- tensorflow/core/kernels/uniform_quant_ops/math_utils.h | 8 ++++---- tensorflow/core/kernels/uniform_quant_ops/tensor_utils.cc | 2 +- .../kernels/uniform_quant_ops/uniform_quantized_add_op.cc | 2 +- .../uniform_quantized_convolution_ops.cc | 8 ++++---- .../uniform_quant_ops/uniform_quantized_dot_ops.cc | 8 ++++---- 6 files changed, 15 insertions(+), 15 deletions(-) diff --git a/tensorflow/core/kernels/uniform_quant_ops/math_utils.cc b/tensorflow/core/kernels/uniform_quant_ops/math_utils.cc index 8fc4510608f7f0..413882ca810835 100644 --- a/tensorflow/core/kernels/uniform_quant_ops/math_utils.cc +++ b/tensorflow/core/kernels/uniform_quant_ops/math_utils.cc @@ -48,7 +48,7 @@ Status QuantizeMultiplier(double double_multiplier, q_fixed = (1LL << 31) - 1; } quantized_multiplier = static_cast(q_fixed); - return OkStatus(); + return absl::OkStatus(); } } // namespace tensorflow diff --git a/tensorflow/core/kernels/uniform_quant_ops/math_utils.h b/tensorflow/core/kernels/uniform_quant_ops/math_utils.h index 8b342b4295121e..8d471f9d21139d 100644 --- a/tensorflow/core/kernels/uniform_quant_ops/math_utils.h +++ b/tensorflow/core/kernels/uniform_quant_ops/math_utils.h @@ -137,7 +137,7 @@ Status AsymmetricQuantize(const ConstTensorTin& input_tensor, quantized_tensor.setZero(); scale = 1.0; zero_point = 0; - return OkStatus(); + return absl::OkStatus(); } // Using the scale calculated from the quantization range and data range, @@ -166,7 +166,7 @@ Status AsymmetricQuantize(const ConstTensorTin& input_tensor, AffineQuantize(input_tensor, inv_scale, zero_point, quantization_min_val, quantization_max_val, quantized_tensor); - return OkStatus(); + return absl::OkStatus(); } // Given double_multiplier, quantize it where it is represented by two int32_t, @@ -227,7 +227,7 @@ Status PerTensorToPerTensorRequantize( input_zero_point, output_zero_point, quantization_min_val, quantization_max_val); }); - return OkStatus(); + return absl::OkStatus(); } // Requantize where the input or output contains any per-axis quantized cases. @@ -298,7 +298,7 @@ Status PerAxisRequantize(OpKernelContext* context, const Tensor& input, quantization_min_val, quantization_max_val); }); } - return OkStatus(); + return absl::OkStatus(); } } // namespace internal diff --git a/tensorflow/core/kernels/uniform_quant_ops/tensor_utils.cc b/tensorflow/core/kernels/uniform_quant_ops/tensor_utils.cc index 7843162ddf9e79..d75659ad5161f6 100644 --- a/tensorflow/core/kernels/uniform_quant_ops/tensor_utils.cc +++ b/tensorflow/core/kernels/uniform_quant_ops/tensor_utils.cc @@ -53,7 +53,7 @@ Status QuantizationAxisAndShapeValid(const TensorShape& data_shape, " and zero_points shape ", zero_points_shape.DebugString()); } } - return OkStatus(); + return absl::OkStatus(); } TensorShape TransposedShape(const TensorShape& in_shape, diff --git a/tensorflow/core/kernels/uniform_quant_ops/uniform_quantized_add_op.cc b/tensorflow/core/kernels/uniform_quant_ops/uniform_quantized_add_op.cc index 1a3291dfa54df3..821ccd6e6bd1c1 100644 --- a/tensorflow/core/kernels/uniform_quant_ops/uniform_quantized_add_op.cc +++ b/tensorflow/core/kernels/uniform_quant_ops/uniform_quantized_add_op.cc @@ -158,7 +158,7 @@ Status EvalQuantizedAdd(OpKernelContext* context, const Tensor& lhs, lhs_quantization_axis, rhs_quantization_axis, output_quantization_axis, output); - return OkStatus(); + return absl::OkStatus(); } } // namespace diff --git a/tensorflow/core/kernels/uniform_quant_ops/uniform_quantized_convolution_ops.cc b/tensorflow/core/kernels/uniform_quant_ops/uniform_quantized_convolution_ops.cc index 3381dbc3c99622..1fa972a8c9801e 100644 --- a/tensorflow/core/kernels/uniform_quant_ops/uniform_quantized_convolution_ops.cc +++ b/tensorflow/core/kernels/uniform_quant_ops/uniform_quantized_convolution_ops.cc @@ -302,7 +302,7 @@ Status EvalLhsPerTensorAndRhsPerTensorQuantizedConv( /*input_zero_point=*/0, output_zero_point, output_quantization_min_val, output_quantization_max_val); }); - return OkStatus(); + return absl::OkStatus(); } // Quantized Conv on per-tensor quantized padded and dilated transposed lhs and @@ -383,7 +383,7 @@ Status EvalLhsPerTensorAndRhsPerChannelQuantizedConv( : out_feature_idx], output_quantization_min_val, output_quantization_max_val); }); - return OkStatus(); + return absl::OkStatus(); } // Quantized Conv on per-batch quantized padded and dilated transposed lhs and @@ -509,7 +509,7 @@ Status EvalQuantizedConv( // Transpose transposed_out back to out. const auto& out_perm_back = OutBackTransposePerm(out_perm); Transpose(out_transposed, out_perm_back, out); - return OkStatus(); + return absl::OkStatus(); } // Given float `lhs` and quantized `rhs`, performs per-batch dynamic range @@ -593,7 +593,7 @@ Status EvalHybridConv( // Transpose transposed_out back to out. const auto& out_perm_back = OutBackTransposePerm(out_perm); Transpose(out_transposed, out_perm_back, out); - return OkStatus(); + return absl::OkStatus(); } } // namespace diff --git a/tensorflow/core/kernels/uniform_quant_ops/uniform_quantized_dot_ops.cc b/tensorflow/core/kernels/uniform_quant_ops/uniform_quantized_dot_ops.cc index bd37ad7fbcc6a2..f2d51987c6f40c 100644 --- a/tensorflow/core/kernels/uniform_quant_ops/uniform_quantized_dot_ops.cc +++ b/tensorflow/core/kernels/uniform_quant_ops/uniform_quantized_dot_ops.cc @@ -39,7 +39,7 @@ Status DotInputShapeValid(const TensorShape& lhs_shape, "shape ", lhs_shape.DebugString(), " and rhs shape ", rhs_shape.DebugString()); } - return OkStatus(); + return absl::OkStatus(); } // Performs dot(lhs, rhs) and writes output to output. Assumes that output is @@ -109,7 +109,7 @@ Status EvalLhsPerTensorAndRhsPerTensorQuantizedDot( /*input_zero_point=*/0, output_zero_point, output_quantization_min_val, output_quantization_max_val); }); - return OkStatus(); + return absl::OkStatus(); } // Performs dot on per-tensor quantized lhs and per-channel (dimension 1) @@ -178,7 +178,7 @@ Status EvalLhsPerTensorAndRhsPerChannelQuantizedDot( output_zero_points_data[is_output_scales_scalar ? 0 : out_c], output_quantization_min_val, output_quantization_max_val); }); - return OkStatus(); + return absl::OkStatus(); } // Performs dot on per-batch (dimension 0) quantized lhs and per-tensor @@ -300,7 +300,7 @@ Status EvalHybridDot(OpKernelContext* context, const Tensor& lhs, rhs_scales.scalar()(), rhs_zero_points.scalar()(), output); } - return OkStatus(); + return absl::OkStatus(); } } // namespace