haojin2 commented on a change in pull request #17254: [numpy] change unary
infer type
URL: https://github.com/apache/incubator-mxnet/pull/17254#discussion_r366778630
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File path: src/operator/tensor/elemwise_binary_op.h
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@@ -525,6 +525,67 @@ class ElemwiseBinaryOp : public OpBase {
});
}
+ template<typename xpu, typename OP>
+ static void MixedUnaryBackwardUseInCompute(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";
Review comment:
Same for the error message here since `outputs[0].type_flag_` is technically
same as `inputs[1].type_flag_`
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