def pushSomething(lua, something):
if isinstance(something, int):
lua.pushNumber(something)
return
if isinstance(something, float):
lua.pushNumber(something)
return
if isinstance(something, str):
lua.pushString(something)
return
if isinstance(something, dict):
pushTable(lua, something)
return
if isinstance(something, list):
pushArray(lua, something)
return
for pythonClass in pushFunctionByPythonClass:
if isinstance(something, pythonClass):
pushFunctionByPythonClass[pythonClass](something)
return
if type(something) in luaClassesReverse:
pushObject(lua, something)
return
typestring = str(type(something))
if typestring in ["<class 'numpy.ndarray'>", "<type 'numpy.ndarray'>"]:
dtypestr = str(something.dtype)
if dtypestr == 'float32':
pushSomething(lua, PyTorch._asFloatTensor(something))
return
if dtypestr == 'float64':
pushSomething(lua, PyTorch._asDoubleTensor(something))
return
if dtypestr == 'uint8':
pushSomething(lua, PyTorch._asByteTensor(something))
return
raise Exception('pushing numpy array with elements of type ' + dtypestr + ' it not currently implemented')
raise Exception('pushing type ' + str(type(something)) + ' not implemented, value ', something)
def pushSomething(lua, something):
if isinstance(something, int):
lua.pushNumber(something)
return
if isinstance(something, float):
lua.pushNumber(something)
return
if isinstance(something, str):
lua.pushString(something)
return
if isinstance(something, dict):
pushTable(lua, something)
return
if isinstance(something, (list, tuple)):
pushTable(lua, OrderedDict(zip(range(1,
len(something) + 1), something)))
return
for pythonClass in pushFunctionByPythonClass:
if isinstance(something, pythonClass):
pushFunctionByPythonClass[pythonClass](something)
return
if type(something) in luaClassesReverse:
pushObject(lua, something)
return
typestring = str(type(something))
if typestring in ["<class 'numpy.ndarray'>", "<type 'numpy.ndarray'>"]:
dtypestr = str(something.dtype)
if dtypestr == 'float32':
pushSomething(lua, PyTorch._asFloatTensor(something))
return
if dtypestr == 'float64':
pushSomething(lua, PyTorch._asDoubleTensor(something))
return
if dtypestr == 'uint8':
pushSomething(lua, PyTorch._asByteTensor(something))
return
raise Exception('pushing numpy array with elements of type ' +
dtypestr + ' it not currently implemented')
raise Exception(
'pushing type ' + str(type(something)) + ' not implemented, value ',
something)
def asByteTensor(myarray):
f1 = PyTorch._asByteTensor(myarray)
# print('type(f1)', type(f1))
return ByteTensor(f1)
def asByteTensor(myarray):
f1 = PyTorch._asByteTensor(myarray)
# print('type(f1)', type(f1))
return ByteTensor(f1)
