import math
import torch
from functools import reduce
from ._utils import _range
from sys import float_info
class __PrinterOptions(object):
precision = 4
threshold = 1000
edgeitems = 3
linewidth = 80
PRINT_OPTS = __PrinterOptions()
SCALE_FORMAT = '{:.5e} *\n'
# We could use **kwargs, but this will give better docs
[docs]def set_printoptions(
precision=None,
threshold=None,
edgeitems=None,
linewidth=None,
profile=None,
):
"""Set options for printing. Items shamelessly taken from Numpy
Args:
precision: Number of digits of precision for floating point output
(default 8).
threshold: Total number of array elements which trigger summarization
rather than full repr (default 1000).
edgeitems: Number of array items in summary at beginning and end of
each dimension (default 3).
linewidth: The number of characters per line for the purpose of
inserting line breaks (default 80). Thresholded matricies will
ignore this parameter.
profile: Sane defaults for pretty printing. Can override with any of
the above options. (default, short, full)
"""
if profile is not None:
if profile == "default":
PRINT_OPTS.precision = 4
PRINT_OPTS.threshold = 1000
PRINT_OPTS.edgeitems = 3
PRINT_OPTS.linewidth = 80
elif profile == "short":
PRINT_OPTS.precision = 2
PRINT_OPTS.threshold = 1000
PRINT_OPTS.edgeitems = 2
PRINT_OPTS.linewidth = 80
elif profile == "full":
PRINT_OPTS.precision = 4
PRINT_OPTS.threshold = float('inf')
PRINT_OPTS.edgeitems = 3
PRINT_OPTS.linewidth = 80
if precision is not None:
PRINT_OPTS.precision = precision
if threshold is not None:
PRINT_OPTS.threshold = threshold
if edgeitems is not None:
PRINT_OPTS.edgeitems = edgeitems
if linewidth is not None:
PRINT_OPTS.linewidth = linewidth
def _get_min_log_scale():
min_positive = float_info.min * float_info.epsilon # get smallest denormal
if min_positive == 0: # use smallest normal if DAZ/FTZ is set
min_positive = float_info.min
return math.ceil(math.log(min_positive, 10))
def _number_format(tensor, min_sz=-1):
_min_log_scale = _get_min_log_scale()
min_sz = max(min_sz, 2)
tensor = torch.DoubleTensor(tensor.size()).copy_(tensor).abs_().view(tensor.nelement())
pos_inf_mask = tensor.eq(float('inf'))
neg_inf_mask = tensor.eq(float('-inf'))
nan_mask = tensor.ne(tensor)
invalid_value_mask = pos_inf_mask + neg_inf_mask + nan_mask
if invalid_value_mask.all():
example_value = 0
else:
example_value = tensor[invalid_value_mask.eq(0)][0]
tensor[invalid_value_mask] = example_value
if invalid_value_mask.any():
min_sz = max(min_sz, 3)
int_mode = True
# TODO: use fmod?
for value in tensor:
if value != math.ceil(value):
int_mode = False
break
exp_min = tensor.min()
if exp_min != 0:
exp_min = math.floor(math.log10(exp_min)) + 1
else:
exp_min = 1
exp_max = tensor.max()
if exp_max != 0:
exp_max = math.floor(math.log10(exp_max)) + 1
else:
exp_max = 1
scale = 1
exp_max = int(exp_max)
prec = PRINT_OPTS.precision
if int_mode:
if exp_max > prec + 1:
format = '{{:11.{}e}}'.format(prec)
sz = max(min_sz, 7 + prec)
else:
sz = max(min_sz, exp_max + 1)
format = '{:' + str(sz) + '.0f}'
else:
if exp_max - exp_min > prec:
sz = 7 + prec
if abs(exp_max) > 99 or abs(exp_min) > 99:
sz = sz + 1
sz = max(min_sz, sz)
format = '{{:{}.{}e}}'.format(sz, prec)
else:
if exp_max > prec + 1 or exp_max < 0:
sz = max(min_sz, 7)
scale = math.pow(10, max(exp_max - 1, _min_log_scale))
else:
if exp_max == 0:
sz = 7
else:
sz = exp_max + 6
sz = max(min_sz, sz)
format = '{{:{}.{}f}}'.format(sz, prec)
return format, scale, sz
def _tensor_str(self):
n = PRINT_OPTS.edgeitems
has_hdots = self.size()[-1] > 2 * n
has_vdots = self.size()[-2] > 2 * n
print_full_mat = not has_hdots and not has_vdots
formatter = _number_format(self, min_sz=3 if not print_full_mat else 0)
print_dots = self.numel() >= PRINT_OPTS.threshold
dim_sz = max(2, max(len(str(x)) for x in self.size()))
dim_fmt = "{:^" + str(dim_sz) + "}"
dot_fmt = u"{:^" + str(dim_sz + 1) + "}"
counter_dim = self.ndimension() - 2
counter = torch.LongStorage(counter_dim).fill_(0)
counter[counter.size() - 1] = -1
finished = False
strt = ''
while True:
nrestarted = [False for i in counter]
nskipped = [False for i in counter]
for i in _range(counter_dim - 1, -1, -1):
counter[i] += 1
if print_dots and counter[i] == n and self.size(i) > 2 * n:
counter[i] = self.size(i) - n
nskipped[i] = True
if counter[i] == self.size(i):
if i == 0:
finished = True
counter[i] = 0
nrestarted[i] = True
else:
break
if finished:
break
elif print_dots:
if any(nskipped):
for hdot in nskipped:
strt += dot_fmt.format('...') if hdot \
else dot_fmt.format('')
strt += '\n'
if any(nrestarted):
strt += ' '
for vdot in nrestarted:
strt += dot_fmt.format(u'\u22EE' if vdot else '')
strt += '\n'
if strt != '':
strt += '\n'
strt += '({},.,.) = \n'.format(
','.join(dim_fmt.format(i) for i in counter))
submatrix = reduce(lambda t, i: t.select(0, i), counter, self)
strt += _matrix_str(submatrix, ' ', formatter, print_dots)
return strt
def __repr_row(row, indent, fmt, scale, sz, truncate=None):
if truncate is not None:
dotfmt = " {:^5} "
return (indent +
' '.join(fmt.format(val / scale) for val in row[:truncate]) +
dotfmt.format('...') +
' '.join(fmt.format(val / scale) for val in row[-truncate:]) +
'\n')
else:
return indent + ' '.join(fmt.format(val / scale) for val in row) + '\n'
def _matrix_str(self, indent='', formatter=None, force_truncate=False):
n = PRINT_OPTS.edgeitems
has_hdots = self.size(1) > 2 * n
has_vdots = self.size(0) > 2 * n
print_full_mat = not has_hdots and not has_vdots
if formatter is None:
fmt, scale, sz = _number_format(self,
min_sz=5 if not print_full_mat else 0)
else:
fmt, scale, sz = formatter
nColumnPerLine = int(math.floor((PRINT_OPTS.linewidth - len(indent)) / (sz + 1)))
strt = ''
firstColumn = 0
if not force_truncate and \
(self.numel() < PRINT_OPTS.threshold or print_full_mat):
while firstColumn < self.size(1):
lastColumn = min(firstColumn + nColumnPerLine - 1, self.size(1) - 1)
if nColumnPerLine < self.size(1):
strt += '\n' if firstColumn != 1 else ''
strt += 'Columns {} to {} \n{}'.format(
firstColumn, lastColumn, indent)
if scale != 1:
strt += SCALE_FORMAT.format(scale)
for l in _range(self.size(0)):
strt += indent + (' ' if scale != 1 else '')
row_slice = self[l, firstColumn:lastColumn + 1]
strt += ' '.join(fmt.format(val / scale) for val in row_slice)
strt += '\n'
firstColumn = lastColumn + 1
else:
if scale != 1:
strt += SCALE_FORMAT.format(scale)
if has_vdots and has_hdots:
vdotfmt = "{:^" + str((sz + 1) * n - 1) + "}"
ddotfmt = u"{:^5}"
for row in self[:n]:
strt += __repr_row(row, indent, fmt, scale, sz, n)
strt += indent + ' '.join([vdotfmt.format('...'),
ddotfmt.format(u'\u22F1'),
vdotfmt.format('...')]) + "\n"
for row in self[-n:]:
strt += __repr_row(row, indent, fmt, scale, sz, n)
elif not has_vdots and has_hdots:
for row in self:
strt += __repr_row(row, indent, fmt, scale, sz, n)
elif has_vdots and not has_hdots:
vdotfmt = u"{:^" + \
str(len(__repr_row(self[0], '', fmt, scale, sz))) + \
"}\n"
for row in self[:n]:
strt += __repr_row(row, indent, fmt, scale, sz)
strt += vdotfmt.format(u'\u22EE')
for row in self[-n:]:
strt += __repr_row(row, indent, fmt, scale, sz)
else:
for row in self:
strt += __repr_row(row, indent, fmt, scale, sz)
return strt
def _vector_str(self):
fmt, scale, sz = _number_format(self)
strt = ''
ident = ''
n = PRINT_OPTS.edgeitems
dotfmt = u"{:^" + str(sz) + "}\n"
if scale != 1:
strt += SCALE_FORMAT.format(scale)
ident = ' '
if self.numel() < PRINT_OPTS.threshold:
return (strt +
'\n'.join(ident + fmt.format(val / scale) for val in self) +
'\n')
else:
return (strt +
'\n'.join(ident + fmt.format(val / scale) for val in self[:n]) +
'\n' + (ident + dotfmt.format(u"\u22EE")) +
'\n'.join(ident + fmt.format(val / scale) for val in self[-n:]) +
'\n')
def _str(self):
if self.ndimension() == 0:
return '[{} with no dimension]\n'.format(torch.typename(self))
elif self.ndimension() == 1:
strt = _vector_str(self)
elif self.ndimension() == 2:
strt = _matrix_str(self)
else:
strt = _tensor_str(self)
size_str = 'x'.join(str(size) for size in self.size())
device_str = '' if not self.is_cuda else \
' (GPU {})'.format(self.get_device())
strt += '[{} of size {}{}]\n'.format(torch.typename(self),
size_str, device_str)
return '\n' + strt