!7552 onehot support 3 inputs

Merge pull request !7552 from zhaozhenlong/lite/issue/onehot_adapt_onnx_3_input

mindspore/lite/src/runtime/kernel/arm/fp32/one_hot.cc

@@ -31,14 +31,15 @@ using mindspore::schema::PrimitiveType_OneHot;
 namespace mindspore::kernel {
 namespace {
 constexpr size_t kInputNum = 4;
+constexpr size_t kInputNumOpt = 3;
 constexpr size_t kOutputNum = 1;
 }  // namespace
 
 int OneHotCPUKernel::Init() {
   // indices depth on_value off_value
-  if (in_tensors_.size() != kInputNum || out_tensors_.size() != kOutputNum) {
-    MS_LOG(ERROR) << "OneHot input size should be " << kInputNum << ", got " << in_tensors_.size()
-                  << ", output size should be" << kOutputNum << ", got " << out_tensors_.size();
+  if ((in_tensors_.size() != kInputNum && in_tensors_.size() != kInputNumOpt) || out_tensors_.size() != kOutputNum) {
+    MS_LOG(ERROR) << "OneHot input size should be " << kInputNum << " or " << kInputNumOpt << ", got "
+                  << in_tensors_.size() << ", output size should be" << kOutputNum << ", got " << out_tensors_.size();
     return RET_ERROR;
   }
   if (context_ == nullptr) {
@@ -132,27 +133,42 @@ int OneHotCPUKernel::GetParams() {
   }
   one_hot_param->depth_ = *depth;
 
-  auto on_value_tensor = in_tensors_.at(2);
-  if (on_value_tensor == nullptr) {
-    MS_LOG(ERROR) << "OneHot inputs[2] on_value nullptr";
-    return RET_NULL_PTR;
-  }
-  const float *on_value = static_cast<float *>(on_value_tensor->MutableData());
-  if (on_value == nullptr) {
-    return RET_NULL_PTR;
-  }
-  one_hot_param->on_value_ = *on_value;
-
-  auto off_value_tensor = in_tensors_.at(3);
-  if (off_value_tensor == nullptr) {
-    MS_LOG(ERROR) << "OneHot inputs[3] off_value nullptr";
-    return RET_NULL_PTR;
-  }
-  const float *off_value = static_cast<float *>(off_value_tensor->MutableData());
-  if (off_value == nullptr) {
-    return RET_NULL_PTR;
+  if (in_tensors_.size() == kInputNum) {
+    auto on_value_tensor = in_tensors_.at(2);
+    if (on_value_tensor == nullptr) {
+      MS_LOG(ERROR) << "OneHot inputs[2] on_value nullptr";
+      return RET_NULL_PTR;
+    }
+    const float *on_value = static_cast<float *>(on_value_tensor->MutableData());
+    if (on_value == nullptr) {
+      return RET_NULL_PTR;
+    }
+    one_hot_param->on_value_ = *on_value;
+
+    auto off_value_tensor = in_tensors_.at(3);
+    if (off_value_tensor == nullptr) {
+      MS_LOG(ERROR) << "OneHot inputs[3] off_value nullptr";
+      return RET_NULL_PTR;
+    }
+    const float *off_value = static_cast<float *>(off_value_tensor->MutableData());
+    if (off_value == nullptr) {
+      return RET_NULL_PTR;
+    }
+    one_hot_param->off_value_ = *off_value;
+  } else {
+    auto off_on_tensor = in_tensors_.at(2);
+    if (off_on_tensor == nullptr) {
+      MS_LOG(ERROR) << "OneHot inputs[2] on_value nullptr";
+      return RET_NULL_PTR;
+    }
+    const int64_t *off_on_values = static_cast<int64_t *>(off_on_tensor->MutableData());
+    if (off_on_values == nullptr) {
+      MS_LOG(ERROR) << "OneHot input[2] data is nullptr";
+      return RET_NULL_PTR;
+    }
+    one_hot_param->off_value_ = static_cast<float>(off_on_values[0]);
+    one_hot_param->on_value_ = static_cast<float>(off_on_values[1]);
   }
-  one_hot_param->off_value_ = *off_value;
 
   one_hot_param->outer_size_ = outer_size_;
   one_hot_param->inner_size_ = inner_size_;