fix compile error in win gpu (#23196)

* fix compile error in win gpu test=develop

* fix compile error in win gpu test=develop

* fix compile error in win gpu test=develop

paddle/fluid/operators/dequantize_log_op.cc

@@ -31,9 +31,9 @@ struct DequantizeFunctor<platform::CPUDeviceContext, T> {
     int ind = in->numel();
     for (size_t i = 0; i < (unsigned)ind; i++) {
       if (input_data[i] < 0) {
-        output_data[i] = -pow(2, dict_data[input_data[i] + 128]);
+        output_data[i] = -std::pow(2.0, dict_data[input_data[i] + 128]);
       } else {
-        output_data[i] = pow(2, dict_data[input_data[i]]);
+        output_data[i] = std::pow(2.0, dict_data[input_data[i]]);
       }
     }
   }

paddle/fluid/operators/dequantize_log_op.cu

@@ -13,6 +13,9 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include "paddle/fluid/operators/dequantize_log_op.h"
+#include "paddle/fluid/operators/math.h"
+#include "paddle/fluid/platform/cuda_primitives.h"
+#include "paddle/fluid/platform/hostdevice.h"
 
 namespace paddle {
 namespace operators {
@@ -23,9 +26,9 @@ __global__ void KeDequantize(const T* in, const float* dict, int num,
   const int idx = threadIdx.x + blockIdx.x * blockDim.x;
   if (idx < num) {
     if (in[idx] < 0) {
-      out[idx] = -pow(2, dict[in[idx] + 128]);
+      out[idx] = -std::pow(static_cast<float>(2.0), dict[in[idx] + 128]);
     } else {
-      out[idx] = pow(2, dict[in[idx]]);
+      out[idx] = std::pow(static_cast<float>(2.0), dict[in[idx]]);
     }
   }
 }