예제 #1
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def scalar(value):
    if type(value) == type(1):
        res = _F.const([value], [], _F.NCHW, _F.int)
        return res
    elif type(value) == type(1.):
        res = _F.const([value], [], _F.NCHW, _F.float)
        return res
    else:
        raise NotImplementedError("not supported data type for creating scalar variable")
예제 #2
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def moments(x, axes=[2, 3], shift=None, keep_dims=True):
    x = _to_var(x)
    if not isinstance(x, Var):
        raise RuntimeError("parameter x is not valid")
    if len(x.shape) != 4 or x.data_format != _F.NC4HW4:
        raise RuntimeError("parameter x must be 4-D w/ NC4HW4 format")
    if axes != [2, 3] and axes != (2, 3):
        raise RuntimeError("parameter axes must be [2, 3] in current implementation")
    shift = _F.const([0.], [1]) #though it's not used, it's preserved
    return _F.moments(x, axes, shift, True)
예제 #3
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def _to_var(x, to_float=True):
    if _numpy_supported:
        if isinstance(x, np.ndarray):  # convert numpy ndarray to MNN var
            if to_float:
                if x.dtype != np.float32:
                    x = x.astype(np.float32)
                return _F.const(x, x.shape)
            if not to_float:
                if x.dtype != np.int32:
                    x = x.astype(np.int32)
                return _F.const(x, x.shape, dtype=_F.int)
        elif isinstance(
                x, (list, tuple)) and x:  # convert list and tuple to MNN Var
            x = np.array(x)
            if to_float:
                if x.dtype != np.float32:
                    x = x.astype(np.float32)
                return _F.const(x, x.shape)
            if not to_float:
                if x.dtype != np.int32:
                    x = x.astype(np.int32)
                return _F.const(x, x.shape, dtype=_F.int)
    else:  # No numpy support
        if isinstance(x, _Int):
            return _F.const(x, [], dtype=_F.int)
        elif isinstance(x, _Float):
            return _F.const(x, [], dtype=_F.float)
    return x
예제 #4
0
파일: __init__.py 프로젝트: godka/MNN-RL
def _to_var(x, to_float=True):
    if isinstance(x, np.ndarray):
        if to_float:
            if x.dtype != np.float32:
                x = x.astype(np.float32)
            return _F.const(x, x.shape)
        if not to_float:
            if x.dtype != np.int32:
                x = x.astype(np.int32)
            return _F.const(x, x.shape, dtype=_F.int)
    elif isinstance(x, (list, tuple)) and x:
        x = np.array(x)
        if to_float:
            if x.dtype != np.float32:
                x = x.astype(np.float32)
            return _F.const(x, x.shape)
        if not to_float:
            if x.dtype != np.int32:
                x = x.astype(np.int32)
            return _F.const(x, x.shape, dtype=_F.int)
    elif isinstance(x, _Int):
        return _F.const(x, [], dtype=_F.int)
    elif isinstance(x, _Float):
        return _F.const(x, [], dtype=_F.float)
    return x