def max_transform(cls, nts):
if nts.dtype not in cls.allowedTypes:
return None
s = Shape()
result = TypeShape(nts.dtype, s)
for _dim in nts.shape.dim:
if _dim.name == DimNames.BATCH:
s.dim.append(Shape.Dim(_dim.name, _dim.size))
elif _dim.name == DimNames.UNITS:
s.dim.append(Shape.Dim(_dim.name, int(math.ceil(_dim.size * cls.__max_f))))
else:
return None
return result
def min_transform(cls, nts: TypeShape):
if nts.dtype not in cls.allowedTypes:
return None
s = Shape((DimNames.UNITS, 1))
result = TypeShape(nts.dtype, s)
idx = [
i for i, d in enumerate(nts.shape.dim) if d.name == DimNames.BATCH
]
if len(idx) > 0:
idx = idx[0]
b = nts.shape.dim[idx].size
if idx + 1 < len(nts.shape.dim) // 2:
s.dim.insert(0, Shape.Dim(DimNames.BATCH, b))
else:
s.dim.append((Shape.Dim(DimNames.BATCH, b)))
return result
def min_transform(cls, nts):
if nts.dtype not in cls.allowedTypes:
return None
s = Shape()
result = TypeShape(nts.dtype, s)
for _dim in nts.shape.dim:
if _dim.name == DimNames.BATCH:
s.dim.append(Shape.Dim(_dim.name, _dim.size))
elif _dim.name == DimNames.CHANNEL:
s.dim.append(
Shape.Dim(_dim.name,
int(math.floor(_dim.size * cls.__min_f_c))))
elif _dim.name == DimNames.WIDTH or \
_dim.name == DimNames.HEIGHT:
s.dim.append(
Shape.Dim(_dim.name,
int(math.floor(_dim.size * cls.__min_f_hw))))
else:
return None
return result