):
out_c, out_h, out_w = _outsize(outsize)
if out_c is not None and \
not (np.issubdtype(type(out_c), np.integer) and out_c > 0):
raise TypeError(
"outsize[0] must be positive integer: {}, {}"
.format(type(out_c), out_c))
if not (np.issubdtype(type(out_h), np.integer) and out_h > 0):
raise TypeError(
"outsize[1] must be positive integer: {}, {}"
.format(type(out_h), out_h))
if not (np.issubdtype(type(out_w), np.integer) and out_w > 0):
raise TypeError(
"outsize[2] must be positive integer: {}, {}"
.format(type(out_w), out_w))
if np.issubdtype(type(spatial_scale), np.integer):
spatial_scale = float(spatial_scale)
if not (np.issubdtype(type(spatial_scale), np.floating)
and spatial_scale > 0):
raise TypeError(
"spatial_scale must be a positive float number: {}, {}"
.format(type(spatial_scale), spatial_scale))
if not (np.issubdtype(type(group_size), np.integer)
and group_size > 0):
raise TypeError(
"group_size must be positive integer: {}, {}"
.format(type(group_size), group_size))
sampling_ratio = _pair(sampling_ratio)
if not all((np.issubdtype(type(s), np.integer) and s >= 1) or s is None
for s in sampling_ratio):
raise TypeError(
"sampling_ratio must be integer >= 1 or a pair of it: {}"
After Change
):
out_c, out_h, out_w = _outsize(outsize)
if out_c is not None and \
not (isinstance(out_c, numbers.Integral) and out_c > 0):
raise TypeError(
"outsize[0] must be positive integer: {}, {}"
.format(type(out_c), out_c))
if not (isinstance(out_h, numbers.Integral) and out_h > 0):
raise TypeError(
"outsize[1] must be positive integer: {}, {}"
.format(type(out_h), out_h))
if not (isinstance(out_w, numbers.Integral) and out_w > 0):
raise TypeError(
"outsize[2] must be positive integer: {}, {}"
.format(type(out_w), out_w))
if isinstance(spatial_scale, numbers.Integral):
spatial_scale = float(spatial_scale)
if not (isinstance(spatial_scale, numbers.Real)
and spatial_scale > 0):
raise TypeError(
"spatial_scale must be a positive float number: {}, {}"
.format(type(spatial_scale), spatial_scale))
if not (isinstance(group_size, numbers.Integral)
and group_size > 0):
raise TypeError(
"group_size must be positive integer: {}, {}"
.format(type(group_size), group_size))
sampling_ratio = _pair(sampling_ratio)
if not all((isinstance(s, numbers.Integral) and s >= 1) or s is None
for s in sampling_ratio):
raise TypeError(
"sampling_ratio must be integer >= 1 or a pair of it: {}"
