fix cpu op Equal bug when dtype is int8/unit8 etc.

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

@@ -76,15 +76,16 @@ void ArithmeticCPUKernel::RealDiv(const T *input1, const T *input2, T *out, size
       GenIndex(i, &idx);
       auto dividend = input1[idx[0]];
       auto divisor = input2[idx[1]];
-      if (divisor == 0) {
-        if (dividend == 0) {
+      auto zero = (T)0;
+      if (divisor == zero) {
+        if (dividend == zero) {
           out[i] = std::numeric_limits<T>::quiet_NaN();
           continue;
         }
         if (std::numeric_limits<T>::has_infinity) {
-          out[i] = dividend > 0 ? std::numeric_limits<T>::infinity() : -std::numeric_limits<T>::infinity();
+          out[i] = dividend > zero ? std::numeric_limits<T>::infinity() : -std::numeric_limits<T>::infinity();
         } else {
-          out[i] = dividend > 0 ? std::numeric_limits<T>::max() : std::numeric_limits<T>::min();
+          out[i] = dividend > zero ? std::numeric_limits<T>::max() : std::numeric_limits<T>::min();
         }
         continue;
       }
@@ -102,15 +103,16 @@ void ArithmeticCPUKernel::Div(const T *input1, const T *input2, T *out, size_t s
       GenIndex(i, &idx);
       auto dividend = input1[idx[0]];
       auto divisor = input2[idx[1]];
-      if (divisor == 0) {
-        if (dividend == 0) {
+      auto zero = (T)0;
+      if (divisor == zero) {
+        if (dividend == zero) {
           out[i] = std::numeric_limits<T>::quiet_NaN();
           continue;
         }
         if (std::numeric_limits<T>::has_infinity) {
-          out[i] = dividend > 0 ? std::numeric_limits<T>::infinity() : -std::numeric_limits<T>::infinity();
+          out[i] = dividend > zero ? std::numeric_limits<T>::infinity() : -std::numeric_limits<T>::infinity();
         } else {
-          out[i] = dividend > 0 ? std::numeric_limits<T>::max() : std::numeric_limits<T>::min();
+          out[i] = dividend > zero ? std::numeric_limits<T>::max() : std::numeric_limits<T>::min();
         }
         continue;
       }
@@ -128,19 +130,20 @@ void ArithmeticCPUKernel::FloorDiv(const T *input1, const T *input2, T *out, siz
       GenIndex(i, &idx);
       auto dividend = input1[idx[0]];
       auto divisor = input2[idx[1]];
-      if (divisor == 0) {
-        if (dividend == 0) {
+      auto zero = (T)0;
+      if (divisor == zero) {
+        if (dividend == zero) {
           out[i] = std::numeric_limits<T>::quiet_NaN();
           continue;
         }
         if (std::numeric_limits<T>::has_infinity) {
-          out[i] = dividend > 0 ? std::numeric_limits<T>::infinity() : -std::numeric_limits<T>::infinity();
+          out[i] = dividend > zero ? std::numeric_limits<T>::infinity() : -std::numeric_limits<T>::infinity();
         } else {
-          out[i] = dividend > 0 ? std::numeric_limits<T>::max() : std::numeric_limits<T>::min();
+          out[i] = dividend > zero ? std::numeric_limits<T>::max() : std::numeric_limits<T>::min();
         }
         continue;
       }
-      out[i] = floor(dividend / divisor);
+      out[i] = (T)floor(static_cast<double>(dividend) / static_cast<double>(divisor));
     }
   };
   CPUKernelUtils::ParallelFor(task, size);
@@ -295,7 +298,7 @@ void ArithmeticCPUKernel::Atan2(const T *input1, const T *input2, T *out, size_t
     for (size_t i = start; i < end; i++) {
       std::vector<size_t> idx;
       GenIndex(i, &idx);
-      out[i] = atan2(input1[idx[0]], input2[idx[1]]);
+      out[i] = (T)atan2(static_cast<double>(input1[idx[0]]), static_cast<double>(input2[idx[1]]));
     }
   };
   CPUKernelUtils::ParallelFor(task, size);
@@ -348,8 +351,8 @@ void ArithmeticCPUKernel::InitKernel(const CNodePtr &kernel_node) {
   CPUKernelUtils::GetElementNumEveryDim(input_shape0_, &input_element_num0_);
   CPUKernelUtils::GetElementNumEveryDim(input_shape1_, &input_element_num1_);
   CPUKernelUtils::GetElementNumEveryDim(output_shape_, &output_element_num_);
-  dtype_ = AnfAlgo::GetPrevNodeOutputInferDataType(kernel_node, 0);
-  if (dtype_ != AnfAlgo::GetPrevNodeOutputInferDataType(kernel_node, 1)) {
+  dtype_ = AnfAlgo::GetInputDeviceDataType(kernel_node, 0);
+  if (dtype_ != AnfAlgo::GetInputDeviceDataType(kernel_node, 1)) {
     MS_LOG(EXCEPTION) << "Input0 and input1 must has the same data type";
   }
   target_dtype_ = AnfAlgo::GetOutputInferDataType(kernel_node, 0);
@@ -358,14 +361,26 @@ void ArithmeticCPUKernel::InitKernel(const CNodePtr &kernel_node) {
 bool ArithmeticCPUKernel::Launch(const std::vector<kernel::AddressPtr> &inputs,
                                  const std::vector<kernel::AddressPtr> & /*workspace*/,
                                  const std::vector<kernel::AddressPtr> &outputs) {
-  if (dtype_ == kNumberTypeInt32 || dtype_ == kNumberTypeInt16 || dtype_ == kNumberTypeInt8) {
+  if (dtype_ == kNumberTypeInt32) {
     LaunchKernel<int>(inputs, outputs);
-  } else if (dtype_ == kNumberTypeFloat32 || dtype_ == kNumberTypeFloat16 || dtype_ == kNumberTypeFloat64) {
+  } else if (dtype_ == kNumberTypeFloat32) {
     LaunchKernel<float>(inputs, outputs);
   } else if (dtype_ == kNumberTypeInt64) {
     LaunchKernel<int64_t>(inputs, outputs);
   } else if (dtype_ == kNumberTypeBool) {
     LaunchKernelLogic<bool>(inputs, outputs);
+  } else if (dtype_ == kNumberTypeInt8) {
+    LaunchKernel<int8_t>(inputs, outputs);
+  } else if (dtype_ == kNumberTypeInt16) {
+    LaunchKernel<int16_t>(inputs, outputs);
+  } else if (dtype_ == kNumberTypeFloat16) {
+    LaunchKernel<float16>(inputs, outputs);
+  } else if (dtype_ == kNumberTypeFloat64) {
+    LaunchKernel<double>(inputs, outputs);
+  } else if (dtype_ == kNumberTypeUInt8) {
+    LaunchKernel<uint8_t>(inputs, outputs);
+  } else if (dtype_ == kNumberTypeUInt32) {
+    LaunchKernel<uint32_t>(inputs, outputs);
   } else {
     MS_LOG(EXCEPTION) << "Data type " << TypeIdLabel(dtype_) << "is not support.";
   }