add int quantization for xpu (#54802)

paddle/phi/kernels/xpu/conv_transpose_grad_kernel.cc

@@ -17,6 +17,7 @@
 #include "paddle/phi/backends/xpu/enforce_xpu.h"
 #include "paddle/phi/core/kernel_registry.h"
 #include "paddle/phi/kernels/cpu/conv_util.h"
+#include "paddle/phi/kernels/xpu/xpu_api_wrapper.h"
 
 namespace phi {
 template <typename T, typename Context>
@@ -68,7 +69,37 @@ void Conv2dTransposeGradKernel(const Context& ctx,
   if (dfilter) {
     ctx.template Alloc<T>(dfilter);
   }
-
+  int fccal_type = FCCalcType<T>();
+  if (fccal_type == XPUFCCalcType::FC_INT32 ||
+      fccal_type == XPUFCCalcType::FC_INT32_WITH_LL) {
+    // xpu api do not support int31 quantization now.
+    int r = xpu::conv2d_transpose_grad<float, float, float, int_with_ll_t>(
+        ctx.x_context(),
+        x.data<T>(),
+        filter_.data<T>(),
+        dout.data<T>(),
+        dx ? dx->data<T>() : nullptr,
+        dfilter ? dfilter->data<T>() : nullptr,
+        batch_size,
+        img_yc,
+        img_yh,
+        img_yw,
+        img_xc,
+        img_xh,
+        img_xw,
+        ksize,
+        strides,
+        paddings_,
+        dilations_,
+        groups,
+        nullptr,
+        nullptr,
+        nullptr,
+        nullptr,
+        nullptr,
+        true);
+    PADDLE_ENFORCE_XDNN_SUCCESS(r, "conv2d_transpose_grad");
+  } else {
     int r = xpu::conv2d_transpose_grad<float, float, float, int16_t>(
         ctx.x_context(),
         x.data<T>(),
@@ -95,6 +126,7 @@ void Conv2dTransposeGradKernel(const Context& ctx,
         nullptr,
         true);
     PADDLE_ENFORCE_XDNN_SUCCESS(r, "conv2d_transpose_grad");
+  }
 }
 
 template <typename T, typename Context>