reorder_prior_box (#52749)

* reorder_prior_box

* fix

paddle/phi/api/yaml/legacy_ops.yaml

@@ -969,7 +969,7 @@
   backward : pool3d_grad
 
 - op : prior_box
-  args : (Tensor input, Tensor image, float[] min_sizes, float[] aspect_ratios, float[] variances, float[] max_sizes = {}, bool flip=true, bool clip=true, float step_w=0.0, float step_h=0.0, float offset=0.5, bool min_max_aspect_ratios_order=false)
+  args : (Tensor input, Tensor image, float[] min_sizes, float[] max_sizes = {}, float[] aspect_ratios = {}, float[] variances = {}, bool flip=true, bool clip=true, float step_w=0.0, float step_h=0.0, float offset=0.5, bool min_max_aspect_ratios_order=false)
   output : Tensor(out), Tensor(var)
   infer_meta :
     func : PriorBoxInferMeta

paddle/phi/infermeta/binary.cc

@@ -2406,9 +2406,9 @@ inline void ExpandAspectRatios(const std::vector<float>& input_aspect_ratior,
 void PriorBoxInferMeta(const MetaTensor& input,
                        const MetaTensor& image,
                        const std::vector<float>& min_sizes,
+                       const std::vector<float>& max_sizes,
                        const std::vector<float>& aspect_ratios,
                        const std::vector<float>& variances,
-                       const std::vector<float>& max_sizes,
                        bool flip,
                        bool clip,
                        float step_w,

paddle/phi/infermeta/binary.h

@@ -381,9 +381,9 @@ void RepeatInterleaveWithTensorIndexInferMeta(const MetaTensor& x,
 void PriorBoxInferMeta(const MetaTensor& input,
                        const MetaTensor& image,
                        const std::vector<float>& min_sizes,
+                       const std::vector<float>& max_sizes,
                        const std::vector<float>& aspect_ratios,
                        const std::vector<float>& variances,
-                       const std::vector<float>& max_sizes,
                        bool flip,
                        bool clip,
                        float step_w,

paddle/phi/kernels/cpu/prior_box_kernel.cc

@@ -24,9 +24,9 @@ void PriorBoxKernel(const Context& ctx,
                     const DenseTensor& input,
                     const DenseTensor& image,
                     const std::vector<float>& min_sizes,
+                    const std::vector<float>& max_sizes,
                     const std::vector<float>& aspect_ratios,
                     const std::vector<float>& variances,
-                    const std::vector<float>& max_sizes,
                     bool flip,
                     bool clip,
                     float step_w,

paddle/phi/kernels/gpu/prior_box_kernel.cu

@@ -111,9 +111,9 @@ void PriorBoxKernel(const Context& ctx,
                     const DenseTensor& input,
                     const DenseTensor& image,
                     const std::vector<float>& min_sizes,
+                    const std::vector<float>& max_sizes,
                     const std::vector<float>& aspect_ratios,
                     const std::vector<float>& variances,
-                    const std::vector<float>& max_sizes,
                     bool flip,
                     bool clip,
                     float step_w,

paddle/phi/kernels/prior_box_kernel.h

@@ -23,9 +23,9 @@ void PriorBoxKernel(const Context& ctx,
                     const DenseTensor& input,
                     const DenseTensor& image,
                     const std::vector<float>& min_sizes,
+                    const std::vector<float>& max_sizes,
                     const std::vector<float>& aspect_ratios,
                     const std::vector<float>& variances,
-                    const std::vector<float>& max_sizes,
                     bool flip,
                     bool clip,
                     float step_w,

paddle/phi/kernels/xpu/prior_box_kernel.cc

@@ -25,9 +25,9 @@ void PriorBoxKernel(const Context& ctx,
                     const DenseTensor& input,
                     const DenseTensor& image,
                     const std::vector<float>& min_sizes,
+                    const std::vector<float>& max_sizes,
                     const std::vector<float>& aspect_ratios,
                     const std::vector<float>& variances,
-                    const std::vector<float>& max_sizes,
                     bool flip,
                     bool clip,
                     float step_w,

paddle/phi/ops/compat/prior_box_sig.cc

@@ -20,9 +20,9 @@ KernelSignature PriorBoxOpArgumentMapping(const ArgumentMappingContext& ctx) {
   return KernelSignature("prior_box",
                          {"Input", "Image"},
                          {"min_sizes",
+                          "max_sizes",
                           "aspect_ratios",
                           "variances",
-                          "max_sizes",
                           "flip",
                           "clip",
                           "step_w",

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

@@ -25,9 +25,9 @@ def python_prior_box(
     input,
     image,
     min_sizes,
+    max_sizes=None,
     aspect_ratios=[1.0],
     variances=[0.1, 0.1, 0.2, 0.2],
-    max_sizes=None,
     flip=False,
     clip=False,
     step_w=0,

python/paddle/vision/ops.py

@@ -524,9 +524,9 @@ def prior_box(
             input,
             image,
             min_sizes,
+            max_sizes,
             aspect_ratios,
             variance,
-            max_sizes,
             flip,
             clip,
             step_w,