make full_like support double_max in dygraph (#45385)

* make full_like support double_max in dygraph

* fix bug

paddle/fluid/pybind/eager_utils.cc

@@ -1289,7 +1289,7 @@ paddle::experimental::Scalar CastPyArg2Scalar(PyObject* obj,
     int64_t value = CastPyArg2Long(obj, op_type, arg_pos);
     return paddle::experimental::Scalar(value);
   } else if (PyFloat_Check(obj)) {
-    float value = CastPyArg2Float(obj, op_type, arg_pos);
+    double value = CastPyArg2Double(obj, op_type, arg_pos);
     return paddle::experimental::Scalar(value);
   } else if (IsEagerTensor(obj)) {
     paddle::experimental::Tensor& value = GetTensorFromPyObject(

paddle/phi/kernels/cpu/full_kernel.cc

@@ -44,7 +44,7 @@ void FullLikeKernel(const Context& dev_ctx,
                     const Scalar& val,
                     DataType dtype,
                     DenseTensor* out) {
-  auto value = val.to<float>();
+  auto value = val.to<double>();
   using CommonType = typename std::common_type<
       float,
       typename std::conditional<std::is_same<T, phi::dtype::float16>::value,

paddle/phi/kernels/gpu/full_kernel.cu

@@ -60,7 +60,7 @@ void FullLikeKernel(const Context& dev_ctx,
                     const Scalar& val,
                     DataType dtype,
                     DenseTensor* out) {
-  auto value = val.to<float>();
+  auto value = val.to<double>();
   using CommonType = typename std::common_type<
       float,
       typename std::conditional<

paddle/phi/kernels/xpu/full_kernel.cc

@@ -70,7 +70,7 @@ void FullLikeKernel(const Context& dev_ctx,
                     DataType dtype,
                     DenseTensor* out) {
   dev_ctx.template Alloc<T>(out);
-  auto value = val.to<float>();
+  auto value = val.to<double>();
   using XPUInTDType = typename XPUTypeTrait<T>::Type;
   using CommonType = typename std::common_type<
       float,