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diff --git a/‎paddle/fluid/operators/dequantize_abs_max_op.cc
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-117Lines changed: 0 additions & 117 deletions b/‎paddle/fluid/operators/dequantize_abs_max_op.cc
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diff --git a/‎paddle/fluid/operators/dequantize_abs_max_op.cu
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-62Lines changed: 0 additions & 62 deletions b/‎paddle/fluid/operators/dequantize_abs_max_op.cu
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diff --git a/‎paddle/fluid/operators/dequantize_abs_max_op.h
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-58Lines changed: 0 additions & 58 deletions b/‎paddle/fluid/operators/dequantize_abs_max_op.h
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diff --git a/‎paddle/fluid/operators/unity_build_rule.cmake
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+1-3Lines changed: 1 addition & 3 deletions b/‎paddle/fluid/operators/unity_build_rule.cmake
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+1-3Lines changed: 1 addition & 3 deletions
diff --git a/‎paddle/phi/api/yaml/op_compat.yaml
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+6Lines changed: 6 additions & 0 deletions b/‎paddle/phi/api/yaml/op_compat.yaml
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+6Lines changed: 6 additions & 0 deletions
diff --git a/‎paddle/phi/api/yaml/ops.yaml
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+9Lines changed: 9 additions & 0 deletions b/‎paddle/phi/api/yaml/ops.yaml
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diff --git a/‎paddle/phi/infermeta/binary.cc
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+9Lines changed: 9 additions & 0 deletions b/‎paddle/phi/infermeta/binary.cc
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diff --git a/‎paddle/phi/infermeta/binary.h
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+5Lines changed: 5 additions & 0 deletions b/‎paddle/phi/infermeta/binary.h
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diff --git a/‎paddle/phi/kernels/cpu/dequantize_abs_max_kernel.cc
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+43Lines changed: 43 additions & 0 deletions b/‎paddle/phi/kernels/cpu/dequantize_abs_max_kernel.cc
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+43Lines changed: 43 additions & 0 deletions
diff --git a/‎paddle/phi/kernels/dequantize_abs_max_kernel.h
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+29Lines changed: 29 additions & 0 deletions b/‎paddle/phi/kernels/dequantize_abs_max_kernel.h
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+29Lines changed: 29 additions & 0 deletions
@@ -67,7 +67,6 @@ register_unity_group(
   deformable_conv_v1_op.cc
   deformable_psroi_pooling_op.cc
   delete_var_op.cc
-  dequantize_abs_max_op.cc
   dequantize_op.cc
   onednn/dequantize_onednn_op.cc)
 register_unity_group(
@@ -362,8 +361,7 @@ register_unity_group(
   unzip_op.cu
   data_norm_op.cu
   deformable_conv_op.cu
-  deformable_conv_v1_op.cu
-  dequantize_abs_max_op.cu)
+  deformable_conv_v1_op.cu)
 register_unity_group(
   cu
   dgc_clip_by_norm_op.cu
 
@@ -809,6 +809,12 @@
   attrs :
     {scale : Scale, shift : Shift}
 
+- op : dequantize_abs_max
+  inputs :
+    {x : X, scale : Scale}
+  outputs :
+    out : Out
+
 - op : dequantize_linear
   inputs :
     {x : X, scale : Scale, zero_point : ZeroPoint, in_accum : InAccum, in_state : InState}
 
@@ -776,6 +776,15 @@
     data_type : input
   backward : depthwise_conv2d_grad
 
+- op : dequantize_abs_max
+  args : (Tensor x, Tensor scale, float max_range)
+  output : Tensor(out)
+  infer_meta :
+    func : DequantizeAbsMaxInferMeta
+  kernel :
+    func : dequantize_abs_max
+    data_type : x
+
 - op : det
   args : (Tensor x)
   output : Tensor
 
@@ -1085,6 +1085,15 @@ void DepthwiseConvInferMeta(const MetaTensor& input,
                 config);
 }
 
+void DequantizeAbsMaxInferMeta(const MetaTensor& x,
+                               const MetaTensor& scale,
+                               float max_range,
+                               MetaTensor* out) {
+  out->set_dtype(x.dtype());
+  out->share_dims(x);
+  out->share_lod(x);
+}
+
 void DequantizeLogInferMeta(const MetaTensor& x,
                             const MetaTensor& dict,
                             MetaTensor* out) {
 
@@ -182,6 +182,11 @@ void DepthwiseConvInferMeta(const MetaTensor& input,
                             MetaTensor* out,
                             MetaConfig config = MetaConfig());
 
+void DequantizeAbsMaxInferMeta(const MetaTensor& x,
+                               const MetaTensor& scale,
+                               float max_range,
+                               MetaTensor* out);
+
 void DequantizeLogInferMeta(const MetaTensor& x,
                             const MetaTensor& dict,
                             MetaTensor* out);
 
@@ -0,0 +1,43 @@
+// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     https://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "paddle/phi/kernels/dequantize_abs_max_kernel.h"
+
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void DequantizeAbsMaxKernel(const Context& dev_ctx,
+                            const DenseTensor& x,
+                            const DenseTensor& scale,
+                            float max_range,
+                            DenseTensor* out) {
+  const float* scale_factor = scale.data<float>();
+  const T* input_data = x.data<T>();
+  float* output_data = dev_ctx.template Alloc<float>(out);
+  int ind = static_cast<int>(x.numel());
+  for (size_t i = 0; i < (unsigned)ind; i++) {
+    output_data[i] = scale_factor[0] * input_data[i] / max_range;
+  }
+}
+}  // namespace phi
+
+PD_REGISTER_KERNEL(dequantize_abs_max,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::DequantizeAbsMaxKernel,
+                   int8_t,
+                   int16_t) {}
@@ -0,0 +1,29 @@
+// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     https://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#pragma once
+
+#include "paddle/phi/backends/all_context.h"
+#include "paddle/phi/core/dense_tensor.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void DequantizeAbsMaxKernel(const Context& dev_ctx,
+                            const DenseTensor& x,
+                            const DenseTensor& scale,
+                            float max_range,
+                            DenseTensor* out);
+
+}  // namespace phi