profile.set_shape(inputTensor.name, [1, 1, 1], [3, 4, 5], [6, 8, 10]) # 指定输入张量 Dynamic Shape 范围 config.add_optimization_profile(profile) identityLayer = network.add_identity(inputTensor) # 恒等变换 network.mark_output(identityLayer.get_output(0)) # 标记输出张量 engineString...
profile = builder.create_optimization_profile() # 动态输入时候需要 分别为最小输入、常规输入、最大输入 # 有几个输入就要写几个profile.set_shape 名字和转onnx的时候要对应 # tensorrt6以后的版本是支持动态输入的,需要给每个动态输入绑定一个profile,用于指定最小值,常规值和最大值,如果超出这个范围会报异常。
profile.set_shape("input_1", (1,3,512,512), (1,3,1600,1600), (1,3,1024,1024)) config.add_optimization_profile(profile) #加上一个sigmoid层 previous_output = network.get_output(0) network.unmark_output(previous_output) sigmoid_layer=network.add_activation(previous_output,trt.ActivationTyp...
profile.set_shape("INPUT0", [1,2], [1,2], [max_batch,2]) profile.set_shape("INPUT1", [1,2], [1,2], [max_batch,2]) config=builder.create_builder_config() config.add_optimization_profile(profile) # tensorrt8.x # config.set_memory_pool_limit(trt.MemoryPoolType.WORKSPACE,1<<2...
profile.set_shape("inputs", (1, 1, 224, 224),(1,1,224,224),(1,1,224,224)) config.add_optimization_profile(profile) config.max_workspace_size = 1<<30 # 预先分配的工作空间大小,即ICudaEngine执行时GPU最大需要的空间 builder.max_batch_size = max_batch_size # 执行时最大可以使用的bat...
profile.set_shape('input', [1,3,224,224], [1,3,224,224], [1,3,224,224])config.add_optimization_profile(profile)# create enginewith torch.cuda.device(device):engine = builder.build_engine(network, config) with open('model.engine', ...
profile.set_shape("input_1", (1,3,512,512), (1,3,1024,1024), (1,3,1600,1600)) config.add_optimization_profile(profile) #加上一个sigmoid层 previous_output = network.get_output(0) network.unmark_output(previous_output) sigmoid_layer=network.add_activation(previous_output,trt.ActivationTyp...
[-1, -1, -1])profile.set_shape(inputTensor.name, [1, 1, 1], [3, 4, 5], [6, 7, 8])config.add_optimization_profile(profile)identityLayer = network.add_identity(inputTensor)network.mark_output(identityLayer.get_output(0))engineString = builder.build_serialized_network(network, config...
If the values have not been set yet, an empty list is returned.set_shape(self: tensorrt.tensorrt.IOptimizationProfile, input: str, min: tensorrt.tensorrt.Dims, opt: tensorrt.tensorrt.Dims, max: tensorrt.tensorrt.Dims) → None Set the minimum/optimum/maximum dimensions for a dynamic input ...
These correspond to the values set using IOptimizationProfile::setShapeValues when the engine was built. Parameters tensorName The name of an input tensor. profileIndex The profile index, which must be between 0 and getNbOptimizationProfiles()-1. select Whether to query the minimum, optimum, ...