vai_p_tensorflow Usage - 2.5 English

Vitis AI Optimizer User Guide (UG1333)

Document ID: UG1333
Release Date: 2022-06-15
Version: 2.5 English

The following arguments are available when running vai_p_tensorflow:

Table 1. vai_p_tensorflow Arguments
Argument	Type	Action	Default	Description
action	string	-	""	Which action to run. Valid actions include ‘ana', 'prune', 'transform', and 'flops'.
workspace	string	[‘ana’, ‘prune’]	""	Directory for saving output files.
input_graph	string	[‘ana’, ‘prune’, ‘flops’]	""	Path of a GraphDef protobuf file that defines the network’s architecture.
input_ckpt	string	[‘ana’, ‘prune’, ‘transform’]	""	Path of a checkpoint file. It is the prefix of filenames created for the checkpoint.
eval_fn_path	string	[‘ana’]	""	A Python file path used for model evaluation.
target	string	[‘ana’]	""	The output node name that indicates the performance of the model.
max_num_batches	int	[‘ana’]	None	Maximum number of batches to evaluate. By default, use all.
output_graph	string	[‘prune’]	""	Path of a GraphDef protobuf file for saving the pruned network.
output_ckpt	string	[‘prune’, ‘transform’’]	""	Path of a checkpoint file for saving weights.
gpu	string	[‘ana’]	""	GPU device IDs to use separated by ‘,’.
sparsity	float	[‘prune’]	None	The desired sparsity of network after pruning.
exclude	repeated	[‘ana’, ‘prune’]	None	Convolution nodes excluded from pruning.
input_nodes	repeated	[‘flops’]	None	Input nodes of the inference graph.
input_node_shapes	repeated	[‘flops’]	None	Shape of input nodes.
output_nodes	repeated	[‘ana’, ‘prune’, ‘flops’]	None	Output nodes of the inference graph.
channel_batch	int	[‘prune’]	2	The number of output channels is a multiple of this value after pruning.