perf(imperative): improve shape inference

GitOrigin-RevId: 98b4d7e9aff5a992306ed6d581390718a0a24caa

imperative/src/impl/interpreter/interpreter_impl.cpp

@@ -178,7 +178,11 @@ TensorInfo* ChannelImpl::put_impl(
     auto _ = StackManager::Guard{"Put", &state.stack_manager};
     auto info = alloc();
     MGB_RECORD_EVENT(TensorCommandEvent, info->id, TensorCommandKind::Put);
+    constexpr int size_threshold = TensorShape::MAX_NDIM;
     init(info, {data.layout(), data.comp_node()});
+    if ((!hvalue.empty()) && info->desc.layout.total_nr_elems() <= size_threshold) {
+        info->desc.value = hvalue.proxy_to_default_cpu();
+    }
     info->ptr = Tensor::make(data, hvalue);
     MGB_RECORD_EVENT(
             TensorProduceEvent, info->id, info->desc.layout, info->desc.comp_node,

imperative/src/impl/ops/reduce.cpp

@@ -58,10 +58,24 @@ SmallVector<TensorPtr> apply_on_physical_tensor(
     return proxy_graph_detail::apply_on_physical_tensor(def, inputs);
 }
 
+std::tuple<SmallVector<LogicalTensorDesc>, bool> infer_output_attrs_fallible(
+        const OpDef& def, const SmallVector<LogicalTensorDesc>& inputs) {
+    auto [output_descs, validated] =
+            proxy_graph_detail::infer_output_attrs_fallible(def, inputs);
+    if (inputs.size() == 2 && !output_descs[0].layout.ndim) {
+        if (!inputs[1].value.empty()) {
+            cg::copy_tensor_value_to_shape(output_descs[0].layout, inputs[1].value);
+            output_descs[0].layout.init_contiguous_stride();
+        }
+    }
+    return {output_descs, validated};
+}
+
 OP_TRAIT_REG(Reduce, Reduce, opr::Reduce)
         .make_from_op_node(make_from_op_node)
         .apply_on_var_node(apply_on_var_node)
         .apply_on_physical_tensor(apply_on_physical_tensor)
+        .infer_output_attrs_fallible(infer_output_attrs_fallible)
         .fallback();
 }  // namespace reduce
 }  // namespace