无法使用quantize_nodes

时间:2017-12-16 12:22:35

标签: python tensorflow

bazel-bin / tensorflow / tools / graph_transforms / transform_graph \

- in_graph =" /家庭/.../ mobilenet_v2.pb" \

- out_graph =" /家庭/.../ mobilenet_v2_clean.pb" \

- 输入= image_tensor \

- 输出=" detection_boxes,detection_scores,detection_classes,num_detections" \

- 变换=' add_default_attributes

strip_unused_nodes

remove_nodes(op = Identity,op = CheckNumerics)

fold_constants(ignore_errors =真)

fold_batch_norms

fold_old_batch_norms

quantize_weights

quantize_nodes

strip_unused_nodes

sort_by_execution_order'

我尝试从tensorflow object_detection api量化默认的ssd移动模型。 如上所述执行转换后,我无法导入图形:

..... .....

ValueError:指定在导入期间不存在的操作的共置:SecondStagePostprocessor中的SecondStagePostprocessor / BatchMultiClassNonMaxSuppression / map / while / strided_slice / BatchMultiClassNonMaxSuppression / map / while / TensorArrayWrite_4 / TensorArrayWriteV3 / Enter

0 个答案:

没有答案