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提交 5dd4c64a authored 作者: Razvan Pascanu's avatar Razvan Pascanu
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Merge pull request #164 from nouiz/pep8

Pep8 I've looked over it and everything seems fine.
上级 2a97ffff 660251a9
隐藏空白字符变更
内嵌 并排
正在显示 包含 328 行增加 和 265 行删除
theano/printing.py
浏览文件 @ 5dd4c64a
"""Pretty-printing (pprint()), the 'Print' Op, debugprint() and pydotprint().
They all allow different way to print a graph or the result of an Op in a graph(Print Op)
They all allow different way to print a graph or the result of an Op
in a graph(Print Op)
"""
from copy import copy
import logging
import sys, os, StringIO
import os
import StringIO
import sys
import numpy
try:
import pydot as pd
pydot_imported = True
except ImportError:
pydot_imported = False
import theano
import gof
from theano import config
......@@ -15,7 +25,8 @@ from theano.gof.python25 import any
from theano.compile import Function, debugmode
from theano.compile.profilemode import ProfileMode
_logger=logging.getLogger("theano.printing")
_logger = logging.getLogger("theano.printing")
def debugprint(obj, depth=-1, print_type=False, file=None):
"""Print a computation graph to file
......@@ -32,17 +43,19 @@ def debugprint(obj, depth=-1, print_type=False, file=None):
:returns: string if `file` == 'str', else file arg
Each line printed represents a Variable in the graph.
The indentation of each line corresponds to its depth in the symbolic graph.
The first part of the text identifies whether it is an input (if a name or type is printed)
or the output of some Apply (in which case the Op is printed).
The indentation of lines corresponds to its depth in the symbolic graph.
The first part of the text identifies whether it is an input
(if a name or type is printed) or the output of some Apply (in which case
the Op is printed).
The second part of the text is the memory location of the Variable.
If print_type is True, there is a third part, containing the type of the Variable
If print_type is True, we add a part containing the type of the Variable
If a Variable is encountered multiple times in the depth-first search, it is only printed
recursively the first time. Later, just the Variable and its memory location are printed.
If a Variable is encountered multiple times in the depth-first search,
it is only printed recursively the first time. Later, just the Variable
and its memory location are printed.
If an Apply has multiple outputs, then a '.N' suffix will be appended to the Apply's
identifier, to indicate which output a line corresponds to.
If an Apply has multiple outputs, then a '.N' suffix will be appended
to the Apply's identifier, to indicate which output a line corresponds to.
"""
if file == 'str':
......@@ -73,7 +86,7 @@ def debugprint(obj, depth=-1, print_type=False, file=None):
file=_file, order=order)
if file is _file:
return file
elif file=='str':
elif file == 'str':
return _file.getvalue()
else:
_file.flush()
......@@ -86,42 +99,50 @@ def _print_fn(op, xin):
pmsg = temp()
else:
pmsg = temp
print op.message, attr,'=', pmsg
print op.message, attr, '=', pmsg
class Print(Op):
"""This identity-like Op has the side effect of printing a message followed by its inputs
when it runs. Default behaviour is to print the __str__ representation. Optionally, one
can pass a list of the input member functions to execute, or attributes to print.
""" This identity-like Op print as a side effect.
This identity-like Op has the side effect of printing a message
followed by its inputs when it runs. Default behaviour is to print
the __str__ representation. Optionally, one can pass a list of the
input member functions to execute, or attributes to print.
@type message: String
@param message: string to prepend to the output
@type attrs: list of Strings
@param attrs: list of input node attributes or member functions to print. Functions are
identified through callable(), executed and their return value printed.
@param attrs: list of input node attributes or member functions to print.
Functions are identified through callable(), executed and
their return value printed.
:note: WARNING. This can disable some optimization(speed and stabilization)!
:note: WARNING. This can disable some optimizations!
(speed and/pr stabilization)
"""
view_map={0:[0]}
def __init__(self,message="", attrs=("__str__",), global_fn=_print_fn):
self.message=message
self.attrs=tuple(attrs) # attrs should be a hashable iterable
self.global_fn=global_fn
view_map = {0: [0]}
def make_node(self,xin):
def __init__(self, message="", attrs=("__str__",), global_fn=_print_fn):
self.message = message
self.attrs = tuple(attrs) # attrs should be a hashable iterable
self.global_fn = global_fn
def make_node(self, xin):
xout = xin.type.make_variable()
return Apply(op = self, inputs = [xin], outputs=[xout])
return Apply(op=self, inputs=[xin], outputs=[xout])
def perform(self,node,inputs,output_storage):
def perform(self, node, inputs, output_storage):
xin, = inputs
xout, = output_storage
xout[0] = xin
self.global_fn(self, xin)
def grad(self,input,output_gradients):
def grad(self, input, output_gradients):
return output_gradients
def __eq__(self, other):
return type(self)==type(other) and self.message==other.message and self.attrs==other.attrs
return (type(self) == type(other) and self.message == other.message
and self.attrs == other.attrs)
def __hash__(self):
return hash(self.message) ^ hash(self.attrs)
......@@ -133,22 +154,23 @@ class Print(Op):
def c_code_cache_version(self):
return (1,)
class PrinterState(gof.utils.scratchpad):
def __init__(self, props = {}, **more_props):
def __init__(self, props={}, **more_props):
if isinstance(props, gof.utils.scratchpad):
self.__update__(props)
else:
self.__dict__.update(props)
self.__dict__.update(more_props)
def clone(self, props = {}, **more_props):
def clone(self, props={}, **more_props):
return PrinterState(self, **dict(props, **more_props))
class OperatorPrinter:
def __init__(self, operator, precedence, assoc = 'left'):
def __init__(self, operator, precedence, assoc='left'):
self.operator = operator
self.precedence = precedence
self.assoc = assoc
......@@ -157,7 +179,8 @@ class OperatorPrinter:
pprinter = pstate.pprinter
node = output.owner
if node is None:
raise TypeError("operator %s cannot represent a variable that is not the result of an operation" % self.operator)
raise TypeError("operator %s cannot represent a variable that is "
"not the result of an operation" % self.operator)
## Precedence seems to be buggy, see #249
## So, in doubt, we parenthesize everything.
......@@ -172,17 +195,22 @@ class OperatorPrinter:
input_strings = []
max_i = len(node.inputs) - 1
for i, input in enumerate(node.inputs):
if self.assoc == 'left' and i != 0 or self.assoc == 'right' and i != max_i:
s = pprinter.process(input, pstate.clone(precedence = self.precedence + 1e-6))
if (self.assoc == 'left' and i != 0 or self.assoc == 'right'
and i != max_i):
s = pprinter.process(input, pstate.clone(
precedence=self.precedence + 1e-6))
else:
s = pprinter.process(input, pstate.clone(precedence = self.precedence))
s = pprinter.process(input, pstate.clone(
precedence=self.precedence))
input_strings.append(s)
if len(input_strings) == 1:
s = self.operator + input_strings[0]
else:
s = (" %s " % self.operator).join(input_strings)
if parenthesize: return "(%s)" % s
else: return s
if parenthesize:
return "(%s)" % s
else:
return s
class PatternPrinter:
......@@ -199,13 +227,19 @@ class PatternPrinter:
pprinter = pstate.pprinter
node = output.owner
if node is None:
raise TypeError("Patterns %s cannot represent a variable that is not the result of an operation" % self.patterns)
raise TypeError("Patterns %s cannot represent a variable that is "
"not the result of an operation" % self.patterns)
idx = node.outputs.index(output)
pattern, precedences = self.patterns[idx]
precedences += (1000,) * len(node.inputs)
return pattern % dict((str(i), x)
for i, x in enumerate(pprinter.process(input, pstate.clone(precedence = precedence))
for input, precedence in zip(node.inputs, precedences)))
pp_process = lambda input, precedence: pprinter.process(
input, pstate.clone(precedence=precedence))
d = dict((str(i), x)
for i, x in enumerate(pp_process(input, precedence)
for input, precedence in
zip(node.inputs, precedences)))
return pattern % d
class FunctionPrinter:
......@@ -217,11 +251,14 @@ class FunctionPrinter:
pprinter = pstate.pprinter
node = output.owner
if node is None:
raise TypeError("function %s cannot represent a variable that is not the result of an operation" % self.names)
raise TypeError("function %s cannot represent a variable that is "
"not the result of an operation" % self.names)
idx = node.outputs.index(output)
name = self.names[idx]
return "%s(%s)" % (name, ", ".join([pprinter.process(input, pstate.clone(precedence = -1000))
for input in node.inputs]))
return "%s(%s)" % (name, ", ".join(
[pprinter.process(input, pstate.clone(precedence=-1000))
for input in node.inputs]))
class MemberPrinter:
......@@ -232,12 +269,15 @@ class MemberPrinter:
pprinter = pstate.pprinter
node = output.owner
if node is None:
raise TypeError("function %s cannot represent a variable that is not the result of an operation" % self.function)
raise TypeError("function %s cannot represent a variable that is"
" not the result of an operation" % self.function)
names = self.names
idx = node.outputs.index(output)
name = self.names[idx]
input = node.inputs[0]
return "%s.%s" % (pprinter.process(input, pstate.clone(precedence = 1000)), name)
return "%s.%s" % (pprinter.process(input,
pstate.clone(precedence=1000)),
name)
class IgnorePrinter:
......@@ -246,7 +286,8 @@ class IgnorePrinter:
pprinter = pstate.pprinter
node = output.owner
if node is None:
raise TypeError("function %s cannot represent a variable that is not the result of an operation" % self.function)
raise TypeError("function %s cannot represent a variable that is"
" not the result of an operation" % self.function)
input = node.inputs[0]
return "%s" % pprinter.process(input, pstate)
......@@ -261,8 +302,10 @@ class DefaultPrinter:
node = r.owner
if node is None:
return LeafPrinter().process(r, pstate)
return "%s(%s)" % (str(node.op), ", ".join([pprinter.process(input, pstate.clone(precedence = -1000))
for input in node.inputs]))
return "%s(%s)" % (str(node.op), ", ".join(
[pprinter.process(input, pstate.clone(precedence=-1000))
for input in node.inputs]))
class LeafPrinter:
def process(self, r, pstate):
......@@ -280,14 +323,15 @@ class PPrinter:
def assign(self, condition, printer):
if isinstance(condition, gof.Op):
op = condition
condition = lambda pstate, r: r.owner is not None and r.owner.op == op
condition = (lambda pstate, r: r.owner is not None
and r.owner.op == op)
self.printers.insert(0, (condition, printer))
def process(self, r, pstate = None):
def process(self, r, pstate=None):
if pstate is None:
pstate = PrinterState(pprinter = self)
pstate = PrinterState(pprinter=self)
elif isinstance(pstate, dict):
pstate = PrinterState(pprinter = self, **pstate)
pstate = PrinterState(pprinter=self, **pstate)
for condition, printer in self.printers:
if condition(pstate, r):
return printer.process(r, pstate)
......@@ -302,15 +346,20 @@ class PPrinter:
cp.assign(condition, printer)
return cp
def process_graph(self, inputs, outputs, updates = {}, display_inputs = False):
if not isinstance(inputs, (list, tuple)): inputs = [inputs]
if not isinstance(outputs, (list, tuple)): outputs = [outputs]
def process_graph(self, inputs, outputs, updates={},
display_inputs=False):
if not isinstance(inputs, (list, tuple)):
inputs = [inputs]
if not isinstance(outputs, (list, tuple)):
outputs = [outputs]
current = None
if display_inputs:
strings = [(0, "inputs: " + ", ".join(map(str, list(inputs) + updates.keys())))]
strings = [(0, "inputs: " + ", ".join(
map(str, list(inputs) + updates.keys())))]
else:
strings = []
pprinter = self.clone_assign(lambda pstate, r: r.name is not None and r is not current,
pprinter = self.clone_assign(lambda pstate, r: r.name is not None
and r is not current,
LeafPrinter())
inv_updates = dict((b, a) for (a, b) in updates.iteritems())
i = 1
......@@ -319,7 +368,8 @@ class PPrinter:
for output in node.outputs:
if output in inv_updates:
name = str(inv_updates[output])
strings.append((i + 1000, "%s <- %s" % (name, pprinter.process(output))))
strings.append((i + 1000, "%s <- %s" % (
name, pprinter.process(output))))
i += 1
if output.name is not None or output in outputs:
if output.name is None:
......@@ -327,16 +377,19 @@ class PPrinter:
else:
name = output.name
#backport
#name = 'out[%i]' % outputs.index(output) if output.name is None else output.name
#name = 'out[%i]' % outputs.index(output) if output.name
# is None else output.name
current = output
try:
idx = 2000 + outputs.index(output)
except ValueError:
idx = i
if len(outputs) == 1 and outputs[0] is output:
strings.append((idx, "return %s" % pprinter.process(output)))
strings.append((idx, "return %s" %
pprinter.process(output)))
else:
strings.append((idx, "%s = %s" % (name, pprinter.process(output))))
strings.append((idx, "%s = %s" %
(name, pprinter.process(output))))
i += 1
strings.sort()
return "\n".join(s[1] for s in strings)
......@@ -354,29 +407,30 @@ class PPrinter:
use_ascii = True
if use_ascii:
special = dict(middle_dot = "\\dot",
big_sigma = "\\Sigma")
greek = dict(alpha = "\\alpha",
beta = "\\beta",
gamma = "\\gamma",
delta = "\\delta",
epsilon = "\\epsilon")
special = dict(middle_dot="\\dot",
big_sigma="\\Sigma")
greek = dict(alpha="\\alpha",
beta="\\beta",
gamma="\\gamma",
delta="\\delta",
epsilon="\\epsilon")
else:
special = dict(middle_dot = u"\u00B7",
big_sigma = u"\u03A3")
special = dict(middle_dot=u"\u00B7",
big_sigma=u"\u03A3")
greek = dict(alpha = u"\u03B1",
beta = u"\u03B2",
gamma = u"\u03B3",
delta = u"\u03B4",
epsilon = u"\u03B5")
greek = dict(alpha=u"\u03B1",
beta=u"\u03B2",
gamma=u"\u03B3",
delta=u"\u03B4",
epsilon=u"\u03B5")
pprint = PPrinter()
pprint.assign(lambda pstate, r: True, DefaultPrinter())
pprint.assign(lambda pstate, r: hasattr(pstate, 'target') and pstate.target is not r and r.name is not None,
pprint.assign(lambda pstate, r: hasattr(pstate, 'target')
and pstate.target is not r and r.name is not None,
LeafPrinter())
pp = pprint
......@@ -384,14 +438,15 @@ pp = pprint
# colors not used: orange, amber#FFBF00, purple, pink,
# used by default: green, blue, grey, red
default_colorCodes = {'GpuFromHost' : 'red',
'HostFromGpu' : 'red',
'Scan' : 'yellow',
'Shape' : 'cyan',
'IfElse' : 'magenta',
default_colorCodes = {'GpuFromHost': 'red',
'HostFromGpu': 'red',
'Scan': 'yellow',
'Shape': 'cyan',
'IfElse': 'magenta',
'Elemwise': '#FFAABB',
'Subtensor': '#FFAAFF'}
def pydotprint(fct, outfile=None,
compact=True, format='png', with_ids=False,
high_contrast=True, cond_highlight=None, colorCodes=None,
......@@ -423,7 +478,7 @@ def pydotprint(fct, outfile=None,
in files with the same name as the name given for the main
file to which the name of the scan op is concatenated and
the index in the toposort of the scan.
This index can be printed in the graph with the option with_ids.
This index can be printed with the option with_ids.
:param var_with_name_simple: If true and a variable have a name,
we will print only the variable name.
Otherwise, we concatenate the type to the var name.
......@@ -439,23 +494,25 @@ def pydotprint(fct, outfile=None,
label each edge between an input and the Apply node with the
input's index.
green boxes are inputs to the graph
blue boxes are outputs of the graph
grey boxes are vars generated by the graph that are not outputs and are not used
red ellipses are transfers from/to the gpu (ops with names GpuFromHost, HostFromGpu)
green boxes are inputs variables to the graph
blue boxes are outputs variables of the graph
grey boxes are variables that are not outputs and are not used
red ellipses are transfers from/to the gpu (ops with names GpuFromHost,
HostFromGpu)
"""
if colorCodes is None:
colorCodes = default_colorCodes
if outfile is None:
outfile = os.path.join(config.compiledir,'theano.pydotprint.' +
outfile = os.path.join(config.compiledir, 'theano.pydotprint.' +
config.device + '.' + format)
if isinstance(fct, Function):
mode = fct.maker.mode
fct_env = fct.maker.env
if not isinstance(mode,ProfileMode) or not mode.profile_stats.has_key(fct):
mode=None
fct_env = fct.maker.env
if (not isinstance(mode, ProfileMode)
or not fct in mode.profile_stats):
mode = None
elif isinstance(fct, gof.Env):
mode = None
fct_env = fct
......@@ -463,28 +520,28 @@ def pydotprint(fct, outfile=None,
raise ValueError(('pydotprint expects as input a theano.function or '
'the env of a function!'), fct)
try:
import pydot as pd
except ImportError:
print ("Failed to import pydot. You must install pydot for "
"`pydotprint` to work.")
if not pydot_imported:
raise RuntimeError("Failed to import pydot. You must install pydot"
" for `pydotprint` to work.")
return
g=pd.Dot()
g = pd.Dot()
if cond_highlight is not None:
c1 = pd.Cluster('Left')
c2 = pd.Cluster('Right')
c3 = pd.Cluster('Middle')
cond = None
for node in fct_env.toposort():
if node.op.__class__.__name__=='IfElse' and node.op.name == cond_highlight:
if (node.op.__class__.__name__ == 'IfElse'
and node.op.name == cond_highlight):
cond = node
if cond is None:
_logger.warn("pydotprint: cond_highlight is set but there is no IfElse node in the graph")
_logger.warn("pydotprint: cond_highlight is set but there is no"
" IfElse node in the graph")
cond_highlight = None
if cond_highlight is not None:
def recursive_pass(x,ls):
def recursive_pass(x, ls):
if not x.owner:
return ls
else:
......@@ -493,19 +550,18 @@ def pydotprint(fct, outfile=None,
ls += recursive_pass(inp, ls)
return ls
left = set(recursive_pass(cond.inputs[1],[]))
right =set(recursive_pass(cond.inputs[2],[]))
left = set(recursive_pass(cond.inputs[1], []))
right = set(recursive_pass(cond.inputs[2], []))
middle = left.intersection(right)
left = left.difference(middle)
right = right.difference(middle)
left = left.difference(middle)
right = right.difference(middle)
middle = list(middle)
left = list(left)
right = list(right)
left = list(left)
right = list(right)
var_str={}
var_str = {}
all_strings = set()
def var_name(var):
if var in var_str:
return var_str[var]
......@@ -514,75 +570,82 @@ def pydotprint(fct, outfile=None,
if var_with_name_simple:
varstr = var.name
else:
varstr = 'name='+var.name+" "+str(var.type)
elif isinstance(var,gof.Constant):
dstr = 'val='+str(numpy.asarray(var.data))
varstr = 'name=' + var.name + " " + str(var.type)
elif isinstance(var, gof.Constant):
dstr = 'val=' + str(numpy.asarray(var.data))
if '\n' in dstr:
dstr = dstr[:dstr.index('\n')]
varstr = '%s %s'% (dstr, str(var.type))
elif var in input_update and input_update[var].variable.name is not None:
varstr = '%s %s' % (dstr, str(var.type))
elif (var in input_update
and input_update[var].variable.name is not None):
if var_with_name_simple:
varstr = input_update[var].variable.name+" UPDATE"
varstr = input_update[var].variable.name + " UPDATE"
else:
varstr = input_update[var].variable.name+" UPDATE "+str(var.type)
varstr = (input_update[var].variable.name + " UPDATE "
+ str(var.type))
else:
#a var id is needed as otherwise var with the same type will be merged in the graph.
#a var id is needed as otherwise var with the same type will be
#merged in the graph.
varstr = str(var.type)
if (varstr in all_strings) or with_ids:
idx = ' id=' + str(len(var_str))
if len(varstr)+len(idx) > max_label_size:
varstr = varstr[:max_label_size-3-len(idx)]+idx+'...'
if len(varstr) + len(idx) > max_label_size:
varstr = varstr[:max_label_size - 3 - len(idx)] + idx + '...'
else:
varstr = varstr + idx
elif len(varstr) > max_label_size:
varstr = varstr[:max_label_size-3]+'...'
var_str[var]=varstr
varstr = varstr[:max_label_size - 3] + '...'
var_str[var] = varstr
all_strings.add(varstr)
return varstr
topo = fct_env.toposort()
apply_name_cache = {}
def apply_name(node):
if node in apply_name_cache:
return apply_name_cache[node]
prof_str=''
prof_str = ''
if mode:
time = mode.profile_stats[fct].apply_time.get(node,0)
time = mode.profile_stats[fct].apply_time.get(node, 0)
#second, % total time in profiler, %fct time in profiler
if mode.local_time==0:
pt=0
else: pt=time*100/mode.local_time
if mode.profile_stats[fct].fct_callcount==0:
pf=0
else: pf = time*100/mode.profile_stats[fct].fct_call_time
prof_str=' (%.3fs,%.3f%%,%.3f%%)'%(time,pt,pf)
applystr = str(node.op).replace(':','_')
if mode.local_time == 0:
pt = 0
else:
pt = time * 100 / mode.local_time
if mode.profile_stats[fct].fct_callcount == 0:
pf = 0
else:
pf = time * 100 / mode.profile_stats[fct].fct_call_time
prof_str = ' (%.3fs,%.3f%%,%.3f%%)' % (time, pt, pf)
applystr = str(node.op).replace(':', '_')
applystr += prof_str
if (applystr in all_strings) or with_ids:
idx = ' id='+str(topo.index(node))
if len(applystr)+len(idx) > max_label_size:
applystr = applystr[:max_label_size-3-len(idx)]+idx+'...'
idx = ' id=' + str(topo.index(node))
if len(applystr) + len(idx) > max_label_size:
applystr = (applystr[:max_label_size - 3 - len(idx)] + idx
+ '...')
else:
applystr = applystr + idx
elif len(applystr) > max_label_size:
applystr = applystr[:max_label_size-3]+'...'
applystr = applystr[:max_label_size - 3] + '...'
all_strings.add(applystr)
apply_name_cache[node] = applystr
return applystr
# Update the inputs that have an update function
input_update={}
input_update = {}
outputs = list(fct_env.outputs)
if isinstance(fct, Function):
for i in reversed(fct.maker.expanded_inputs):
if i.update is not None:
input_update[outputs.pop()] = i
apply_shape='ellipse'
var_shape='box'
for node_idx,node in enumerate(topo):
astr=apply_name(node)
apply_shape = 'ellipse'
var_shape = 'box'
for node_idx, node in enumerate(topo):
astr = apply_name(node)
use_color = None
for opName, color in colorCodes.items():
......@@ -593,9 +656,9 @@ def pydotprint(fct, outfile=None,
nw_node = pd.Node(astr, shape=apply_shape)
elif high_contrast:
nw_node = pd.Node(astr, style='filled', fillcolor=use_color,
shape = apply_shape)
shape=apply_shape)
else:
nw_node = pd.Node(astr,color=use_color, shape = apply_shape)
nw_node = pd.Node(astr, color=use_color, shape=apply_shape)
g.add_node(nw_node)
if cond_highlight:
if node in middle:
......@@ -605,51 +668,50 @@ def pydotprint(fct, outfile=None,
elif node in right:
c2.add_node(nw_node)
for id,var in enumerate(node.inputs):
varstr=var_name(var)
label=str(var.type)
if len(label)>max_label_size:
label = label[:max_label_size-3]+'...'
if len(node.inputs)>1:
label=str(id)+' '+label
for id, var in enumerate(node.inputs):
varstr = var_name(var)
label = str(var.type)
if len(label) > max_label_size:
label = label[:max_label_size - 3] + '...'
if len(node.inputs) > 1:
label = str(id) + ' ' + label
if var.owner is None:
if high_contrast:
g.add_node(pd.Node(varstr
,style = 'filled'
, fillcolor='green',shape=var_shape))
g.add_node(pd.Node(varstr,
style='filled',
fillcolor='green',
shape=var_shape))
else:
g.add_node(pd.Node(varstr,color='green',shape=var_shape))
g.add_edge(pd.Edge(varstr,astr, label=label))
g.add_node(pd.Node(varstr, color='green', shape=var_shape))
g.add_edge(pd.Edge(varstr, astr, label=label))
elif var.name or not compact:
g.add_edge(pd.Edge(varstr,astr, label=label))
g.add_edge(pd.Edge(varstr, astr, label=label))
else:
#no name, so we don't make a var ellipse
g.add_edge(pd.Edge(apply_name(var.owner),astr, label=label))
for id,var in enumerate(node.outputs):
varstr=var_name(var)
out = any([x[0]=='output' for x in var.clients])
label=str(var.type)
if len(node.outputs)>1:
label=str(id)+' '+label
if len(label)>max_label_size:
label = label[:max_label_size-3]+'...'
g.add_edge(pd.Edge(apply_name(var.owner), astr, label=label))
for id, var in enumerate(node.outputs):
varstr = var_name(var)
out = any([x[0] == 'output' for x in var.clients])
label = str(var.type)
if len(node.outputs) > 1:
label = str(id) + ' ' + label
if len(label) > max_label_size:
label = label[:max_label_size - 3] + '...'
if out:
g.add_edge(pd.Edge(astr, varstr, label=label))
if high_contrast:
g.add_node(pd.Node(varstr,style='filled'
,fillcolor='blue',shape=var_shape))
g.add_node(pd.Node(varstr, style='filled',
fillcolor='blue', shape=var_shape))
else:
g.add_node(pd.Node(varstr,color='blue',shape=var_shape))
elif len(var.clients)==0:
g.add_node(pd.Node(varstr, color='blue', shape=var_shape))
elif len(var.clients) == 0:
g.add_edge(pd.Edge(astr, varstr, label=label))
if high_contrast:
g.add_node(pd.Node(varstr,style='filled',
fillcolor='grey',shape=var_shape))
g.add_node(pd.Node(varstr, style='filled',
fillcolor='grey', shape=var_shape))
else:
g.add_node(pd.Node(varstr,color='grey',shape=var_shape))
g.add_node(pd.Node(varstr, color='grey', shape=var_shape))
elif var.name or not compact:
g.add_edge(pd.Edge(astr, varstr, label=label))
# else:
......@@ -660,37 +722,32 @@ def pydotprint(fct, outfile=None,
g.add_subgraph(c2)
g.add_subgraph(c3)
if not outfile.endswith('.'+format):
outfile+='.'+format
if not outfile.endswith('.' + format):
outfile += '.' + format
g.write(outfile, prog='dot', format=format)
if print_output_file:
print 'The output file is available at',outfile
print 'The output file is available at', outfile
if scan_graphs:
scan_ops = [(idx, x) for idx,x in enumerate(fct_env.toposort()) if isinstance(x.op, theano.scan_module.scan_op.Scan)]
scan_ops = [(idx, x) for idx, x in enumerate(fct_env.toposort())
if isinstance(x.op, theano.scan_module.scan_op.Scan)]
path, fn = os.path.split(outfile)
basename = '.'.join(fn.split('.')[:-1])
# Safe way of doing things .. a file name may contain multiple .
ext = fn[len(basename):]
ext = fn[len(basename):]
for idx, scan_op in scan_ops:
# is there a chance that name is not defined?
if hasattr(scan_op.op,'name'):
new_name = basename+'_'+scan_op.op.name+'_'+str(idx)
if hasattr(scan_op.op, 'name'):
new_name = basename + '_' + scan_op.op.name + '_' + str(idx)
else:
new_name = basename+'_'+str(idx)
new_name = os.path.join(path, new_name+ext)
new_name = basename + '_' + str(idx)
new_name = os.path.join(path, new_name + ext)
pydotprint(scan_op.op.fn, new_name, compact, format, with_ids,
high_contrast, cond_highlight, colorCodes,
max_label_size, scan_graphs)
def pydotprint_variables(vars,
outfile=None,
format='png',
......@@ -704,7 +761,7 @@ def pydotprint_variables(vars,
if colorCodes is None:
colorCodes = default_colorCodes
if outfile is None:
outfile = os.path.join(config.compiledir,'theano.pydotprint.' +
outfile = os.path.join(config.compiledir, 'theano.pydotprint.' +
config.device + '.' + format)
try:
import pydot as pd
......@@ -712,12 +769,13 @@ def pydotprint_variables(vars,
print ("Failed to import pydot. You must install pydot for "
"`pydotprint_variables` to work.")
return
g=pd.Dot()
g = pd.Dot()
my_list = {}
orphanes = []
if type(vars) not in (list,tuple):
if type(vars) not in (list, tuple):
vars = [vars]
var_str = {}
def var_name(var):
if var in var_str:
return var_str[var]
......@@ -726,26 +784,27 @@ def pydotprint_variables(vars,
if var_with_name_simple:
varstr = var.name
else:
varstr = 'name='+var.name+" "+str(var.type)
elif isinstance(var,gof.Constant):
dstr = 'val='+str(var.data)
varstr = 'name=' + var.name + " " + str(var.type)
elif isinstance(var, gof.Constant):
dstr = 'val=' + str(var.data)
if '\n' in dstr:
dstr = dstr[:dstr.index('\n')]
varstr = '%s %s'% (dstr, str(var.type))
varstr = '%s %s' % (dstr, str(var.type))
else:
#a var id is needed as otherwise var with the same type will be merged in the graph.
#a var id is needed as otherwise var with the same type will be
#merged in the graph.
varstr = str(var.type)
varstr += ' ' + str(len(var_str))
if len(varstr) > max_label_size:
varstr = varstr[:max_label_size-3]+'...'
var_str[var]=varstr
varstr = varstr[:max_label_size - 3] + '...'
var_str[var] = varstr
return varstr
def apply_name(node):
name = str(node.op).replace(':','_')
name = str(node.op).replace(':', '_')
if len(name) > max_label_size:
name = name[:max_label_size-3]+'...'
name = name[:max_label_size - 3] + '...'
return name
def plot_apply(app, d):
......@@ -755,53 +814,52 @@ def pydotprint_variables(vars,
return
astr = apply_name(app) + '_' + str(len(my_list.keys()))
if len(astr) > max_label_size:
astr = astr[:max_label_size-3]+'...'
astr = astr[:max_label_size - 3] + '...'
my_list[app] = astr
use_color = None
for opName, color in colorCodes.items():
if opName in app.op.__class__.__name__ :
if opName in app.op.__class__.__name__:
use_color = color
if use_color is None:
g.add_node(pd.Node(astr, shape='box'))
elif high_contrast:
g.add_node(pd.Node(astr, style='filled', fillcolor=use_color,
shape = 'box'))
shape='box'))
else:
g.add_node(pd.Nonde(astr,color=use_color, shape = 'box'))
g.add_node(pd.Nonde(astr, color=use_color, shape='box'))
for i,nd in enumerate(app.inputs):
for i, nd in enumerate(app.inputs):
if nd not in my_list:
varastr = var_name(nd) + '_' + str(len(my_list.keys()))
if len(varastr) > max_label_size:
varastr = varastr[:max_label_size-3]+'...'
varastr = varastr[:max_label_size - 3] + '...'
my_list[nd] = varastr
if nd.owner is not None:
g.add_node(pd.Node(varastr))
elif high_contrast:
g.add_node(pd.Node(varastr, style ='filled',
g.add_node(pd.Node(varastr, style='filled',
fillcolor='green'))
else:
g.add_node(pd.Node(varastr, color='green'))
else:
varastr = my_list[nd]
label = ''
if len(app.inputs)>1:
if len(app.inputs) > 1:
label = str(i)
g.add_edge(pd.Edge(varastr, astr, label = label))
g.add_edge(pd.Edge(varastr, astr, label=label))
for i,nd in enumerate(app.outputs):
for i, nd in enumerate(app.outputs):
if nd not in my_list:
varastr = var_name(nd) + '_' + str(len(my_list.keys()))
if len(varastr) > max_label_size:
varastr = varastr[:max_label_size-3]+'...'
varastr = varastr[:max_label_size - 3] + '...'
my_list[nd] = varastr
color = None
if nd in vars:
color = 'blue'
elif nd in orphanes :
elif nd in orphanes:
color = 'gray'
if color is None:
g.add_node(pd.Node(varastr))
......@@ -809,17 +867,16 @@ def pydotprint_variables(vars,
g.add_node(pd.Node(varastr, style='filled',
fillcolor=color))
else:
g.add_node(pd.Node(varastr, color = color))
g.add_node(pd.Node(varastr, color=color))
else:
varastr = my_list[nd]
label = ''
if len(app.outputs) > 1:
label = str(i)
g.add_edge(pd.Edge(astr, varastr,label = label))
g.add_edge(pd.Edge(astr, varastr, label=label))
for nd in app.inputs:
if nd.owner:
plot_apply(nd.owner, d-1)
plot_apply(nd.owner, d - 1)
for nd in vars:
if nd.owner:
......@@ -833,8 +890,7 @@ def pydotprint_variables(vars,
g.write_png(outfile, prog='dot')
print 'The output file is available at',outfile
print 'The output file is available at', outfile
class _TagGenerator:
......@@ -864,13 +920,15 @@ class _TagGenerator:
while number != 0:
remainder = number % base
new_char = chr(ord('A')+remainder)
new_char = chr(ord('A') + remainder)
rval = new_char + rval
number /= base
return rval
def min_informative_str(obj, indent_level = 0, _prev_obs = None, _tag_generator = None):
def min_informative_str(obj, indent_level=0,
_prev_obs=None, _tag_generator=None):
"""
Returns a string specifying to the user what obj is
The string will print out as much of the graph as is needed
......@@ -890,15 +948,18 @@ def min_informative_str(obj, indent_level = 0, _prev_obs = None, _tag_generator
Basic design philosophy
-----------------------
The idea behind this function is that it can be used as parts of command line tools
for debugging or for error messages. The information displayed is intended to be
concise and easily read by a human. In particular, it is intended to be informative
when working with large graphs composed of subgraphs from several different people's
code, as in pylearn2.
Stopping expanding subtrees when named variables are encountered makes it easier to
understand what is happening when a graph formed by composing several different graphs
made by code written by different authors has a bug.
The idea behind this function is that it can be used as parts of
command line tools for debugging or for error messages. The
information displayed is intended to be concise and easily read by
a human. In particular, it is intended to be informative when
working with large graphs composed of subgraphs from several
different people's code, as in pylearn2.
Stopping expanding subtrees when named variables are encountered
makes it easier to understand what is happening when a graph
formed by composing several different graphs made by code written
by different authors has a bug.
An example output is:
......@@ -907,17 +968,22 @@ def min_informative_str(obj, indent_level = 0, _prev_obs = None, _tag_generator
C. log_likelihood_h
If the user is told they have a problem computing this value, it's obvious that either
log_likelihood_h or log_likelihood_v_given_h has the wrong dimensionality. The variable's
str object would only tell you that there was a problem with an Elemwise{add_no_inplace}.
Since there are many such ops in a typical graph, such an error message is considerably
less informative. Error messages based on this function should convey much more information
about the location in the graph of the error while remaining succint.
If the user is told they have a problem computing this value, it's
obvious that either log_likelihood_h or log_likelihood_v_given_h
has the wrong dimensionality. The variable's str object would only
tell you that there was a problem with an
Elemwise{add_no_inplace}. Since there are many such ops in a
typical graph, such an error message is considerably less
informative. Error messages based on this function should convey
much more information about the location in the graph of the error
while remaining succint.
One final note: the use of capital letters to uniquely identify nodes within the graph
is motivated by legibility. I do not use numbers or lower case letters since these are
pretty common as parts of names of ops, etc. I also don't use the object's id like in
debugprint because it gives such a long string that takes time to visually diff.
One final note: the use of capital letters to uniquely identify
nodes within the graph is motivated by legibility. I do not use
numbers or lower case letters since these are pretty common as
parts of names of ops, etc. I also don't use the object's id like
in debugprint because it gives such a long string that takes time
to visually diff.
"""
......@@ -926,7 +992,6 @@ def min_informative_str(obj, indent_level = 0, _prev_obs = None, _tag_generator
indent = '\t' * indent_level
if obj in _prev_obs:
tag = _prev_obs[obj]
......@@ -939,7 +1004,6 @@ def min_informative_str(obj, indent_level = 0, _prev_obs = None, _tag_generator
_prev_obs[obj] = cur_tag
if hasattr(obj, '__array__'):
name = '<ndarray>'
elif hasattr(obj, 'name') and obj.name is not None:
......@@ -948,12 +1012,11 @@ def min_informative_str(obj, indent_level = 0, _prev_obs = None, _tag_generator
name = str(obj.owner.op)
for ipt in obj.owner.inputs:
name += '\n' + min_informative_str(ipt,
indent_level = indent_level + 1,
_prev_obs = _prev_obs, _tag_generator = _tag_generator)
indent_level=indent_level + 1,
_prev_obs=_prev_obs, _tag_generator=_tag_generator)
else:
name = str(obj)
prefix = cur_tag + '. '
rval = indent + prefix + name
......
theano/tests/test_printing.py
浏览文件 @ 5dd4c64a
......@@ -22,14 +22,12 @@ def test_pydotprint_cond_highlight():
"""
# Skip test if pydot is not available.
try:
import pydot
except ImportError:
if not theano.printing.pydot_imported:
raise SkipTest('pydot not available')
x = tensor.dvector()
f = theano.function([x], x*2)
f([1,2,3,4])
f = theano.function([x], x * 2)
f([1, 2, 3, 4])
s = StringIO.StringIO()
new_handler = logging.StreamHandler(s)
......@@ -39,19 +37,21 @@ def test_pydotprint_cond_highlight():
theano.theano_logger.removeHandler(orig_handler)
theano.theano_logger.addHandler(new_handler)
try:
theano.printing.pydotprint(f, cond_highlight = True, print_output_file=False)
theano.printing.pydotprint(f, cond_highlight=True,
print_output_file=False)
finally:
theano.theano_logger.addHandler(orig_handler)
theano.theano_logger.removeHandler(new_handler)
assert s.getvalue() == 'pydotprint: cond_highlight is set but there is no IfElse node in the graph\n'
assert (s.getvalue() == 'pydotprint: cond_highlight is set but there'
' is no IfElse node in the graph\n')
def test_pydotprint_profile():
"""Just check that pydotprint does not crash with ProfileMode."""
A = tensor.matrix()
f = theano.function([A], A+1, mode='ProfileMode')
f = theano.function([A], A + 1, mode='ProfileMode')
theano.printing.pydotprint(f, print_output_file=False)
......@@ -59,26 +59,26 @@ def test_min_informative_str():
""" evaluates a reference output to make sure the
min_informative_str function works as intended """
A = tensor.matrix(name = 'A')
B = tensor.matrix(name = 'B')
A = tensor.matrix(name='A')
B = tensor.matrix(name='B')
C = A + B
C.name = 'C'
D = tensor.matrix(name = 'D')
E = tensor.matrix(name = 'E')
D = tensor.matrix(name='D')
E = tensor.matrix(name='E')
F = D + E
G = C + F
mis = min_informative_str(G)
mis = min_informative_str(G).replace("\t", " ")
reference = """A. Elemwise{add,no_inplace}
B. C
C. Elemwise{add,no_inplace}
D. D
E. E"""
B. C
C. Elemwise{add,no_inplace}
D. D
E. E"""
if mis != reference:
print '--'+mis+'--'
print '--'+reference+'--'
print '--' + mis + '--'
print '--' + reference + '--'
assert mis == reference
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