remove unused TransposeINT8Op for higher UT coverage (#18791)

test=develop

paddle/fluid/operators/mkldnn/transpose_mkldnn_op.cc

@@ -68,29 +68,6 @@ class TransposeMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
   }
 };
 
-template <typename T>
-class TransposeINT8MKLDNNOpKernel : public paddle::framework::OpKernel<T> {
- public:
-  void Compute(const paddle::framework::ExecutionContext& ctx) const override {
-    std::vector<int> axis = ctx.Attr<std::vector<int>>("axis");
-    std::vector<int> axis_int8 = {0, 2, 3, 1};
-    if (axis.size() != 1) {
-      PADDLE_ENFORCE_EQ(axis.size(), axis_int8.size());
-      for (size_t i = 0; i < axis.size(); i++) {
-        PADDLE_ENFORCE_EQ(axis[i], axis_int8[i],
-                          "Current INT8 MKLDNN Transpose kernel only surpport "
-                          "axis with [0, 2, 3, 1] due to MKL-DNN kernel "
-                          "implementation.");
-      }
-    }
-    auto* input = ctx.Input<Tensor>("X");
-    auto* output = ctx.Output<Tensor>("Out");
-    output->ShareDataWith(*input);
-    output->set_layout(DataLayout::kMKLDNN);
-    output->set_format(input->format());
-  }
-};
-
 template <typename T>
 class TransposeMKLDNNGradOpKernel : public paddle::framework::OpKernel<T> {
  public:
@@ -148,9 +125,7 @@ class TransposeMKLDNNGradOpKernel : public paddle::framework::OpKernel<T> {
 namespace ops = paddle::operators;
 
 REGISTER_OP_KERNEL(transpose2, MKLDNN, ::paddle::platform::CPUPlace,
-                   ops::TransposeMKLDNNOpKernel<float>,
-                   ops::TransposeINT8MKLDNNOpKernel<uint8_t>,
-                   ops::TransposeINT8MKLDNNOpKernel<int8_t>);
+                   ops::TransposeMKLDNNOpKernel<float>);
 
 REGISTER_OP_KERNEL(transpose, MKLDNN, ::paddle::platform::CPUPlace,
                    ops::TransposeMKLDNNOpKernel<float>);