ZhennanQin commented on a change in pull request #12530: Implement mkldnn
convolution fusion and quantization.
URL: https://github.com/apache/incubator-mxnet/pull/12530#discussion_r221407486
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File path: src/operator/quantization/quantize_graph_pass.cc
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@@ -89,17 +89,41 @@ std::vector<NodeEntry>
OfflineParams(std::vector<NodeEntry>&& outputs,
return outputs;
}
-inline bool NeedQuantize(NodePtr node, const std::unordered_set<NodePtr>
excluded_nodes) {
+inline bool NeedQuantize(NodePtr node, const std::unordered_set<std::string>&
excluded_nodes) {
static auto& quantized_op_map =
Op::GetAttr<mxnet::FQuantizedOp>("FQuantizedOp");
- return quantized_op_map.count(node->op()) && !excluded_nodes.count(node);
+ if (quantized_op_map.count(node->op())) {
+ bool excluded = false;
+ if (node->attrs.subgraphs.size()) {
+ // This is a subgraph node, try to match subgraph name first,
+ // and then try to match inner node.
+ if (excluded_nodes.count(node->attrs.name)) {
+ excluded = true;
+ } else {
+ auto subgraph_sym = node->attrs.subgraphs[0];
Review comment:
@zheng-da For a single node, is it possible that it contains both control
flow subgraph and common subgraph? Another question, how to identify if a
subgraph node is control flow operator? We should have a method to distinguish
them.
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