コード例 #1
1
ファイル: PyTorchAug.py プロジェクト: benglard/pytorch
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)
コード例 #2
0
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)
コード例 #3
0
ファイル: floattensor.py プロジェクト: devcode1981/pytorch-3
def asByteTensor(myarray):
    f1 = PyTorch._asByteTensor(myarray)
    #    print('type(f1)', type(f1))
    return ByteTensor(f1)
コード例 #4
0
ファイル: floattensor.py プロジェクト: amoliu/pytorch
def asByteTensor(myarray):
    f1 = PyTorch._asByteTensor(myarray)
#    print('type(f1)', type(f1))
    return ByteTensor(f1)