mkolod commented on a change in pull request #11325: [MXNET-703] TensorRT
runtime integration
URL: https://github.com/apache/incubator-mxnet/pull/11325#discussion_r205894970
##########
File path: src/executor/graph_executor.cc
##########
@@ -1018,20 +1156,49 @@ void GraphExecutor::Init(nnvm::Symbol symbol,
g.GetAttr<StorageTypeVector>("storage_type"));
}
+ if (use_tensorrt_) {
+ #if MXNET_USE_TENSORRT
+ // check that this graph is inference-only
+ if (std::any_of(grad_req_types->begin(), grad_req_types->end(),
+ [](const OpReqType& op){return op != kNullOp;})) {
+ LOG(FATAL) << "MXNET_USE_TENSORRT set but graph is not
inference-only. "
+ << "If it is an inference graph, set grad_req to null during
simple_bind call. "
+ << "If it is a training graph, unset the MXNET_USE_TENSORRT env
variable";
+ }
+ if (shared_buffer->empty()) {
+ LOG(FATAL) << "MXNET_USE_TENSORRT = 1 but shared_buffer is empty."
+ << "Please provide weights and other parameters, such as "
+ << "BatchNorm moments, via the shared_buffer, during simple bind
call.";
+ }
+ auto trt_groups = GetTrtCompatibleSubsets(g, shared_buffer);
+ for (auto trt_group : trt_groups) {
+ if (trt_group.size() > 1) {
+ g = ReplaceSubgraph(std::move(g), trt_group, shared_buffer);
+ g = ReinitGraph(std::move(g), default_ctx, ctx_map,
in_arg_ctxes, arg_grad_ctxes,
+ aux_state_ctxes, grad_req_types, arg_shape_map,
arg_dtype_map,
+ arg_stype_map, shared_buffer);
Review comment:
@Caenorst could you reply to @zheng-da's question above? Thanks!
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