Automated Code Change

PiperOrigin-RevId: 609295564
tensorflow · Feb 22, 2024 · 5039c3a · 5039c3a
1 parent 9e40776
commit 5039c3a
Show file tree

Hide file tree

Showing 6 changed files with 15 additions and 15 deletions.
diff --git 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<int32_t>(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
@@ -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
@@ -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
@@ -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
@@ -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<Tout>(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<float>(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
@@ -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<float>()(), rhs_zero_points.scalar<int32_t>()(),
         output);
   }
-  return OkStatus();
+  return absl::OkStatus();
 }
 
 }  // namespace