[Other] Refactor js submodule (#415)

* Refactor js submodule

* Remove change-log

* Update ocr module

* Update ocr-detection module

* Update ocr-detection module

* Remove change-log

examples/application/js/converter/pruningModel.py

@@ -0,0 +1,64 @@
+#!/usr/bin/env python
+# -*- coding: UTF-8 -*-
+
+
+# pruning op tensor and relatad op with no sense, like ShapeTensor and OutSize
+def pruningNoSenseTensor(model):
+   global ops
+   ops = model["ops"]
+   global vars
+   vars = model["vars"]
+   for op in ops[:]:
+      shapeTensor = op["inputs"].get("ShapeTensor")
+      outSizeTensor = op["inputs"].get("OutSize")
+
+      noSenseTensor = shapeTensor or outSizeTensor
+      if not noSenseTensor:
+         continue
+      
+      print(noSenseTensor)
+      if shapeTensor:
+         del op["inputs"]["ShapeTensor"]
+      if outSizeTensor:
+         del op["inputs"]["OutSize"]
+
+      for tensorId in noSenseTensor:
+         delLeafOpWithoutChildren(tensorId)
+
+
+# delete leaf op which has no child
+def delLeafOpWithoutChildren(tensorId):
+   # judge if there is an op which used the tensor
+   for op in ops[:]:
+      inputsTensor = op["inputs"]
+      input = inputsTensor.get("Input") or inputsTensor.get("X")
+      
+      if input and (tensorId in input):
+         return
+
+   op = getOpByOutputTensor(tensorId)
+   if not op:
+      return
+
+   # del op
+   ops.remove(op)
+   # del vars
+   del vars[tensorId]
+
+   # upward recursion
+   delOpinputsTensor = op["inputs"]
+   input = delOpinputsTensor.get("Input") or delOpinputsTensor.get("X")
+   if not input:
+      return
+   for inputTensorId in input:
+      delLeafOpWithoutChildren(inputTensorId)
+   
+   
+         
+# find op by output tensor id
+def getOpByOutputTensor(tensorId):
+   for op in ops[:]:
+      outputTensor = op["outputs"]
+      out = outputTensor.get("Out") or outputTensor.get("Output") or outputTensor.get("Y")
+      if out[0] == tensorId:
+         return op