!14540 memcpy_s function reports errors when tensor is greater than 2147483647 bit.

From: @wangyanling10
Reviewed-by: @wuxuejian,@liangchenghui
Signed-off-by: @wuxuejian

mindspore/ccsrc/backend/kernel_compiler/cpu/slice_cpu_kernel.cc

@@ -191,8 +191,12 @@ void SliceCPUKernel::CopyDataToOutput(const std::vector<kernel::AddressPtr> &inp
     MS_LOG(EXCEPTION) << id << " output memory out of bounds.";
   }
 
-  auto ret = memcpy_s(output_addr + out_offset, out_buff_size - out_offset * sizeof(T), input_addr + in_offset,
-                      copy_num * sizeof(T));
+  size_t buff_size = out_buff_size - out_offset * sizeof(T);
+  size_t copy_size = copy_num * sizeof(T);
+  if (buff_size < copy_size) {
+    MS_LOG(EXCEPTION) << "output buffer is not enough. memcpy failed!";
+  }
+  auto ret = memcpy_s(output_addr + out_offset, copy_size, input_addr + in_offset, copy_size);
   if (ret != EOK) {
     MS_LOG(EXCEPTION) << "memcpy failed. ret:" << ret;
   }

mindspore/nn/loss/loss.py

@@ -814,7 +814,7 @@ class BCELoss(_Loss):
         ValueError: If shape of `inputs` is not the same as `labels` or `weight` (if given).
 
     Supported Platforms:
-        ``Ascend`` ``GPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> weight = Tensor(np.array([[1.0, 2.0, 3.0], [4.0, 3.3, 2.2]]), mindspore.float32)