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[QNN EP] Support quantized BatchNorm with per-channel DQ params on QNN HTP #26959

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[QNN EP] Support quantized BatchNorm with per-channel DQ params on QNN HTP #26959

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9 changes: 8 additions & 1 deletion onnxruntime/core/optimizer/qdq_transformer/selectors_actions/qdq_selectors.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -723,7 +723,14 @@ bool BatchNormalizationNodeGroupSelector::Check(const GraphViewer& graph_viewer,
const Node* redundant_clip_node,
const std::vector<const Node*>& dq_nodes,
const std::vector<const Node*>& q_nodes) const {
if (!CheckQDQNodes(graph_viewer, node, redundant_clip_node, dq_nodes, q_nodes, 3)) {
// BatchNormalization has 5 inputs: x, scale, bias, mean, var.
// Require DQ on x and scale (indices 0,1). mean, var may optionally have DQ.
const int num_dq_nodes = gsl::narrow_cast<int>(dq_nodes.size());
if (num_dq_nodes < 3 || num_dq_nodes > 5) {
return false;
}

if (!CheckQDQNodes(graph_viewer, node, redundant_clip_node, dq_nodes, q_nodes, num_dq_nodes)) {
return false;
}

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