!13906 【MD】【BUG】Conventional judgment on the parameter h w not less than zero

From: @xulei2020
Reviewed-by: 
Signed-off-by:

mindspore/ccsrc/minddata/dataset/kernels/image/lite_cv/warp_affine.cc

@@ -355,6 +355,10 @@ static void Remap(const LiteMat &src, LiteMat &dst, LiteMat &map1, const LiteMat
 
 bool WarpAffineBilinear(const LiteMat &src, LiteMat &dst, const LiteMat &M, int dst_w, int dst_h,  // NOLINT
                         PaddBorderType borderType, std::vector<uint8_t> &borderValue) {            // NOLINT
+  if (dst_w <= 0 || dst_h <= 0) {
+    return false;
+  }
+
   if (!(M.height_ == 2 && M.width_ == 3)) {
     return false;
   }
@@ -471,6 +475,9 @@ static void PerspectiveInvert(double *src, double *dst) {
 
 bool WarpPerspectiveBilinear(const LiteMat &src, LiteMat &dst, const LiteMat &M, int dst_w, int dst_h,  // NOLINT
                              PaddBorderType borderType, std::vector<uint8_t> &borderValue) {            // NOLINT
+  if (dst_w <= 0 || dst_h <= 0) {
+    return false;
+  }
   if (!(M.height_ == 3 && M.width_ == 3)) {
     return false;
   }

mindspore/dataset/transforms/validators.py

@@ -60,7 +60,7 @@ def check_one_hot_op(method):
     @wraps(method)
     def new_method(self, *args, **kwargs):
         [num_classes, smoothing_rate], _ = parse_user_args(method, *args, **kwargs)
-
+        type_check(smoothing_rate, (int, float), "smoothing_rate")
         type_check(num_classes, (int,), "num_classes")
         check_positive(num_classes)
 

mindspore/dataset/vision/validators.py

@@ -44,6 +44,8 @@ def check_cut_mix_batch_c(method):
     def new_method(self, *args, **kwargs):
         [image_batch_format, alpha, prob], _ = parse_user_args(method, *args, **kwargs)
         type_check(image_batch_format, (ImageBatchFormat,), "image_batch_format")
+        type_check(alpha, (int, float), "alpha")
+        type_check(prob, (int, float), "prob")
         check_pos_float32(alpha)
         check_positive(alpha, "alpha")
         check_value(prob, [0, 1], "prob")
@@ -70,6 +72,7 @@ def check_mix_up_batch_c(method):
     @wraps(method)
     def new_method(self, *args, **kwargs):
         [alpha], _ = parse_user_args(method, *args, **kwargs)
+        type_check(alpha, (int, float), "alpha")
         check_positive(alpha, "alpha")
         check_pos_float32(alpha)
 
@@ -463,11 +466,11 @@ def check_mix_up(method):
     @wraps(method)
     def new_method(self, *args, **kwargs):
         [batch_size, alpha, is_single], _ = parse_user_args(method, *args, **kwargs)
-
+        type_check(is_single, (bool,), "is_single")
+        type_check(batch_size, (int,), "batch_size")
+        type_check(alpha, (int, float), "alpha")
         check_value(batch_size, (1, FLOAT_MAX_INTEGER))
         check_positive(alpha, "alpha")
-        type_check(is_single, (bool,), "is_single")
-
         return method(self, *args, **kwargs)
 
     return new_method

tests/ut/cpp/dataset/README.md

@@ -1,3 +1,4 @@
 
 ### Introduce of data
+
 All of data used in this folder created by Huawei Technologies Co.

tests/ut/python/dataset/README.md

@@ -1,7 +1,9 @@
 ## DE Dataset Ops Test (Python)  
 
-#### Environment
+### Environment
+
 Python3.7 (PyCharm IDE is recommended)  
 
 ### Introduce of data
+
 All of data used in this folder created by Huawei Technologies Co.