haojin2 commented on a change in pull request #17254: [numpy] change unary 
infer type
URL: https://github.com/apache/incubator-mxnet/pull/17254#discussion_r365556939
 
 

 ##########
 File path: src/operator/tensor/elemwise_binary_op.h
 ##########
 @@ -525,6 +525,68 @@ class ElemwiseBinaryOp : public OpBase {
     });
   }
 
+  template<typename xpu, typename OP>
+  static void ComputeMixedTypeIn(const nnvm::NodeAttrs &attrs,
+                      const OpContext &ctx,
+                      const std::vector<TBlob> &inputs,
+                      const std::vector<OpReqType> &req,
+                      const std::vector<TBlob> &outputs) {
+    using namespace mxnet_op;
+    if (req[0] == kNullOp) return;
+    Stream<xpu> *s = ctx.get_stream<xpu>();
+    CHECK_EQ(inputs.size(), 2U);
+    CHECK_EQ(outputs.size(), 1U);
+    if (!mxnet::common::is_float(inputs[1].type_flag_)) {
+      LOG(FATAL) << "Operator " << attrs.op->name <<
+                    " does not support type " << inputs[1].type_flag_;
+    }
+    if (outputs[0].type_flag_ == mshadow::kBool) {
+      LOG(FATAL) << "Operator " << attrs.op->name << " does not support 
boolean type";
+    }
+    MXNET_ASSIGN_REQ_SWITCH(req[0], Req, {
+      MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, DType, {
+        const size_t size = (minthree(outputs[0].Size(), inputs[0].Size(), 
inputs[1].Size())
+        + DataType<DType>::kLanes - 1) / DataType<DType>::kLanes;
+        if (size != 0) {
+          Kernel<mxnet_op::op_with_req<OP, Req>, xpu>::Launch(s, size,
+          outputs[0].dptr<DType>(),
+          inputs[0].dptr<DType>(), inputs[1].dptr<DType>());
+        }
+      });
+    });
+  }
+
+  template<typename xpu, typename OP>
+  static void ComputeMixedTypeInOut(const nnvm::NodeAttrs &attrs,
 
 Review comment:
   `MixedUnaryBackwardUseInOutCompute`

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