"gather_generation_logits": false, "strongly_typed": false, "builder_opt": null, "profiling_verbosity": "layer_names_only", "enable_debug_output": false, "max_draft_len": 0, "speculative_decoding_mode": 1, "use_
trtexec --builderOptimizationLevel=4 --stronglyTyped --onnx=onnx.onnx --saveEngine=model.plan --fp16 --minShapes=input_x:1x3x224x224,input_y:3x1x224x224,extra_input:1x3x224x224 --optShapes=input_x:3x3x224x224,input_y:3x3x224x224,extra_input:3x3x224x224 --maxShapes=input_x:6x...
For example, to enable explicit batch mode, pass a value of 1 << int(NetworkDefinitionCreationFlag.STRONGLY_TYPED) to create_network() Members: EXPLICIT_BATCH : [DEPRECATED] Ignored because networks are always “explicit batch” in TensorRT 10.0. STRONGLY_TYPED : Specify that every tensor in ...
As types are not autotuned, an engine built from a strongly typed network can be slower than one where TensorRT chooses tensor types. On the other hand, the build time may improve as fewer kernel alternatives are evaluated.Strongly typed networks are not supported with DLA....
Added support for parsing mixed-precisionBatchNormalizationnodes in strongly-typed mode. Addressed Issues Fixed4113. Assets2 🚀3zhyncs, poweiw, and tp-nan reacted with rocket emoji👀1WANASX reacted with eyes emoji 🚀 👀 4 people reacted ...
strongly_typed: if self.strongly_typed: return Network()._init( self.trt_builder.create_network( explicit_batch_flag Expand Down Expand Up @@ -145,35 +144,15 @@ def create_builder_config(self, @param int8: whether to build with int8 enabled or not. Can't be used together with ...
device memory at engine load time. This enables models with weights larger than free GPU memory to run, but potentially with significantly increased latency. Weight streaming is an opt-in feature at both build time and runtime. Note that this feature is only supported with strongly typed ...
max_batch_size 14 --max_input_len 2048 --max_output_len 128 --enable_fp8 --fp8_kv_cache --strongly_typed --n_head 64 --n_kv_head 8 --n_embd 8192 --inter_size 28672 --vocab_size 32000 --n_positions 4096 --hidden_act silu --ffn_dim_multiplier 1....
strongly_typed = True num_kv_heads = build_config['num_heads'] \ if build_config['num_kv_heads'] is None else build_config['num_kv_heads'] apply_query_key_layer_scaling = False max_batch_size = build_config['max_batch_size'] \ if args.max_batch_size is None else args...
TensorRT-LLM / docs / source / performance.md performance.md32.78 KB 一键复制编辑原始数据按行查看历史 Kaiyu Xie提交于1年前.Update TensorRT-LLM (#1274) This document summarizes performance measurements of TensorRT-LLM on H100 (Hopper), L40S (Ada) and A100 (Ampere) GPUs for a few key models...