!8766 fix bugs when shape is empty or equal to zero

From: @huaweib
Reviewed-by: @kisnwang,@liangchenghui,@jjfeing
Signed-off-by: @jjfeing

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

@@ -40,6 +40,9 @@ void ReduceCPUKernel::InitKernel(const CNodePtr &kernel_node) {
   }
   shape_ = AnfAlgo::GetInputDeviceShape(kernel_node, 0);
   CheckAxis(kernel_node);
+  if (shape_.empty()) {
+    shape_.push_back(1);
+  }
   for (size_t i = 0; i < shape_.size(); ++i) {
     if (shape_[i] <= 0) {
       MS_LOG(EXCEPTION) << "shape value is invalid.";

mindspore/ccsrc/backend/kernel_compiler/gpu/nn/binary_cross_entropy_gpu_kernel.h

@@ -40,8 +40,10 @@ class BinaryCrossEntropyGpuKernel : public GpuKernel {
     T *weight = GetDeviceAddress<T>(inputs, 2);
     T *loss = GetDeviceAddress<T>(outputs, 0);
     T *tmp_loss = GetDeviceAddress<T>(workspace, 0);
-    BinaryCrossEntropyLoss(input_size_, reduction_, input_x, input_y, weight, loss, tmp_loss,
-                           reinterpret_cast<cudaStream_t>(stream_ptr));
+    if (input_size_ > 0) {
+      BinaryCrossEntropyLoss(input_size_, reduction_, input_x, input_y, weight, loss, tmp_loss,
+                             reinterpret_cast<cudaStream_t>(stream_ptr));
+    }
     return true;
   }
 

mindspore/ccsrc/backend/kernel_compiler/gpu/nn/binary_cross_entropy_grad_kernel.h

@@ -42,8 +42,10 @@ class BinaryCrossEntropyGradGpuKernel : public GpuKernel {
     T *dloss = GetDeviceAddress<T>(inputs, 2);
     T *weight = GetDeviceAddress<T>(inputs, 3);
     T *dx = GetDeviceAddress<T>(outputs, 0);
-    BinaryCrossEntropyLossGrad(input_size_, reduction_, input_x, input_y, weight, dloss, dx,
-                               reinterpret_cast<cudaStream_t>(stream_ptr));
+    if (input_size_ > 0) {
+      BinaryCrossEntropyLossGrad(input_size_, reduction_, input_x, input_y, weight, dloss, dx,
+                                 reinterpret_cast<cudaStream_t>(stream_ptr));
+    }
     return true;
   }
 
@@ -52,7 +54,6 @@ class BinaryCrossEntropyGradGpuKernel : public GpuKernel {
     for (size_t i = 0; i < input_shape.size(); i++) {
       input_size_ *= input_shape[i];
     }
-
     string reduction = GetAttr<string>(kernel_node, "reduction");
     if (reduction == "none") {
       reduction_ = 0;