[OneDNN] Conv op refactor. (#36252)

* Remove unused header.

* Use ConvMKLDNNHandlerT for conv2d INT8.

* Use absolute module path to import.

paddle/fluid/operators/mkldnn/axpy_handler.cc

@@ -23,7 +23,6 @@ limitations under the License. */
 #include "paddle/fluid/platform/device_context.h"
 #include "paddle/fluid/platform/mkldnn_helper.h"
 #include "paddle/fluid/platform/place.h"
-#include "paddle/fluid/platform/profiler.h"
 
 namespace paddle {
 namespace operators {

paddle/fluid/platform/mkldnn_helper.h

@@ -531,7 +531,13 @@ inline bool HasOpBFLOAT16DataType(const paddle::framework::OpDesc* op) {
 inline bool HasOpFLOAT32DataType(const paddle::framework::OpDesc* op) {
   return op->GetAttrIfExists<std::string>("mkldnn_data_type") == "float32";
 }
+
 enum class RNNReorderType { PP_NTC, PP_TNC, NTC_PP, TNC_PP };
 
+template <typename T>
+bool constexpr is_int8() {
+  return std::is_same<T, int8_t>::value || std::is_same<T, uint8_t>::value;
+}
+
 }  // namespace platform
 }  // namespace paddle

python/paddle/fluid/tests/unittests/test_conv2d_op.py

@@ -20,7 +20,8 @@ import numpy as np
 import paddle
 import paddle.fluid.core as core
 import paddle.fluid as fluid
-from op_test import OpTest, convert_float_to_uint16, get_numeric_gradient
+from paddle.fluid.tests.unittests.op_test import (
+    OpTest, convert_float_to_uint16, get_numeric_gradient)
 from paddle.fluid.tests.unittests.testsuite import create_op
 from paddle.fluid import Program, program_guard
 

python/paddle/fluid/tests/unittests/test_conv2d_transpose_op.py

@@ -22,7 +22,7 @@ import paddle.nn as nn
 paddle.enable_static()
 import paddle.fluid.core as core
 import paddle.fluid as fluid
-from op_test import OpTest
+from paddle.fluid.tests.unittests.op_test import OpTest
 
 
 def conv2dtranspose_forward_naive(input_, filter_, attrs):