junrushao commented on code in PR #15680:
URL: https://github.com/apache/tvm/pull/15680#discussion_r1319180740
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src/relax/op/ccl/ccl.cc:
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@@ -70,5 +70,55 @@ TVM_REGISTER_OP("relax.ccl.broadcast_from_worker0")
.set_attr<FRelaxInferLayout>("FRelaxInferLayout", InferLayoutUnaryEwise)
.set_attr<Bool>("FPurity", Bool(true));
+/* relax.ccl.scatter_from_worker0 */
+TVM_REGISTER_NODE_TYPE(ScatterFromWorker0Attrs);
+
+Expr scatter_from_worker0(Expr data, int num_workers) {
+ ObjectPtr<ScatterFromWorker0Attrs> attrs =
make_object<ScatterFromWorker0Attrs>();
+ attrs->num_workers = std::move(num_workers);
+ static const Op& op = Op::Get("relax.ccl.scatter_from_worker0");
+
+ return Call(op, {std::move(data)}, Attrs{attrs}, {});
+}
+
+TVM_REGISTER_GLOBAL("relax.op.ccl.scatter_from_worker0").set_body_typed(scatter_from_worker0);
+
+StructInfo InferStructInfoScatterFromWorker0(const Call& call, const
BlockBuilder& ctx) {
+ TensorStructInfo input_sinfo = GetUnaryInputTensorStructInfo(call, ctx);
+ DataType output_dtype = input_sinfo->dtype;
+
+ const auto* attrs = call->attrs.as<ScatterFromWorker0Attrs>();
+ int num_workers = attrs->num_workers;
+
+ arith::Analyzer* analyzer = ctx->GetAnalyzer();
+ const auto* input_shape = input_sinfo->shape.as<ShapeExprNode>();
+ input_sinfo->shape.as<VarNode>();
+ CHECK(input_shape != nullptr)
+ << "input tensor of scatter_from_worker0 should have defined ShapeExpr
as shape";
Review Comment:
Use `TensorStructInfoNode::GetShape`
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