提交 ae25334d authored 作者: Olivier Breuleux's avatar Olivier Breuleux

checked and improved doc on env.py

上级 534a1953
......@@ -199,7 +199,39 @@ class _test_all(unittest.TestCase):
assert not g.consistent()
g.replace(tv, Sigmoid(x))
assert g.consistent()
def test_11(self):
x, y, z = inputs()
e1 = TransposeView(TransposeView(x))
e2 = TransposeView(TransposeView(e1))
e3 = AddInPlace(e2, y)
e4 = AddInPlace(e1, z)
g = env([x,y,z], [e3, e4], False)
assert not g.consistent()
g.replace(e2, TransposeView(x), False)
assert not g.consistent()
def test_12(self):
x, y, z = inputs()
e0 = AddInPlace(x, y)
e = Dot(Sigmoid(e0), TransposeView(x))
g = env([x,y,z], [e], False)
assert not g.consistent()
new_e0 = Add(x, y)
g.replace(e0, new_e0, False)
assert g.consistent()
g.replace(new_e0, AddInPlace(x, y), False)
assert not g.consistent()
def test_13(self):
x, y, z = inputs()
e0 = TransposeView(x)
e = Dot(Sigmoid(AddInPlace(x, y)), e0)
g = env([x,y,z], [e], False)
assert not g.consistent()
new_e0 = Add(e0, y)
g.replace(e0, new_e0, False)
assert g.consistent()
if __name__ == '__main__':
......
......@@ -53,11 +53,12 @@ class Env(graph.Graph):
L{Tool}.
Regarding inputs and orphans:
In the context of a computation graph, the inputs and orphans are both
results that are the source nodes of computation. Those results that are
named as inputs will be assumed to contain fresh. In other words, the
backward search from outputs will stop at any node that has been explicitly
named as an input.
In the context of a computation graph, the inputs and orphans are
both results that are the source nodes of computation. Those
results that are named as inputs will be assumed to contain fresh.
In other words, the backward search from outputs will stop at any
node that has been explicitly named as an input.
"""
### Special ###
......@@ -90,6 +91,8 @@ class Env(graph.Graph):
# Set of all the results that are not an output of an op in the subgraph but
# are an input of an op in the subgraph.
# e.g. z for inputs=(x, y) and outputs=(x + (y - z),)
# We initialize them to the set of outputs; if an output depends on an input,
# it will be removed from the set of orphans.
self._orphans = set(outputs)
# Maps results to ops that use them:
......@@ -111,6 +114,7 @@ class Env(graph.Graph):
### Public interface ###
def add_output(self, output):
"Add an output to the Env."
self.outputs.add(output)
self.orphans.add(output)
self.__import_r__([output])
......@@ -138,10 +142,17 @@ class Env(graph.Graph):
return True
def satisfy(self, x):
"Adds the features required by x unless they are already present."
for feature_class in require_set(x):
self.add_feature(feature_class)
def add_feature(self, feature_class, do_import = True):
"""
Adds an instance of the feature_class to this env's supported
features. If do_import is True and feature_class is a subclass
of Listener, its on_import method will be called on all the Ops
already in the env.
"""
if feature_class in self._features:
return # the feature is already present
else:
......@@ -210,15 +221,17 @@ class Env(graph.Graph):
return op in self._ops
def orphans(self):
"""All results not within the subgraph bound by env.inputs and env.outputs, not in
env.inputs but required by some op."""
"""
All results not within the subgraph bound by env.inputs and
env.outputs, not in env.inputs but required by some op.
"""
return self._orphans
def replace(self, r, new_r, consistency_check = True):
"""
This is the main interface to manipulate the subgraph in Env.
For every op that uses r as input, makes it use new_r instead.
This may raise a GofTypeError if the new result violates type
This may raise an error if the new result violates type
constraints for one of the target ops. In that case, no
changes are made.
......@@ -228,8 +241,8 @@ class Env(graph.Graph):
graph the way it was before the call to replace.
If consistency_check is False, the replacement will succeed
even if there is an inconsistency. A GofTypeError will still
be raised if there are type mismatches.
even if there is an inconsistency, unless the replacement
violates hard constraints on the types involved.
"""
self.__import_r_satisfy__([new_r])
......@@ -277,9 +290,10 @@ class Env(graph.Graph):
def replace_all(self, d):
"""
For (r, new_r) in d.items(), replaces r with new_r. Checks for consistency at the
end and raises an InconsistencyError if the graph is not consistent. If an error is
raised, the graph is restored to what it was before.
For (r, new_r) in d.items(), replaces r with new_r. Checks for
consistency at the end and raises an InconsistencyError if the
graph is not consistent. If an error is raised, the graph is
restored to what it was before.
"""
chk = self.checkpoint()
try:
......@@ -295,19 +309,29 @@ class Env(graph.Graph):
raise
def results(self):
"All results within the subgraph bound by env.inputs and env.outputs and including them"
"""
All results within the subgraph bound by env.inputs and
env.outputs and including them
"""
return self._results
def revert(self, checkpoint):
"""
Reverts the graph to whatever it was at the provided checkpoint (undoes all replacements).
A checkpoint at any given time can be obtained using self.checkpoint().
Reverts the graph to whatever it was at the provided
checkpoint (undoes all replacements). A checkpoint at any
given time can be obtained using self.checkpoint().
"""
while len(self.history) > checkpoint:
f = self.history.pop()
f()
def supplemental_orderings(self):
"""
Returns a dictionary of {op: set(prerequisites)} that must
be satisfied in addition to the order defined by the structure
of the graph (returns orderings that not related to input/output
relationships).
"""
ords = {}
for ordering in self._orderings.values():
for op, prereqs in ordering.orderings().items():
......@@ -316,14 +340,18 @@ class Env(graph.Graph):
def toposort(self):
"""
Returns a list of ops in the order that they must be executed in order to preserve
the semantics of the graph and respect the constraints put forward by the listeners.
Returns a list of ops in the order that they must be executed
in order to preserve the semantics of the graph and respect
the constraints put forward by the listeners.
"""
ords = self.supplemental_orderings()
order = graph.io_toposort(self.inputs, self.outputs, ords)
return order
def validate(self):
"""
Raises an error if the graph is inconsistent.
"""
for constraint in self._constraints.values():
constraint.validate()
return True
......@@ -332,9 +360,21 @@ class Env(graph.Graph):
### Private interface ###
def __add_clients__(self, r, all):
"""
r -> result
all -> list of (op, i) pairs representing who r is an input of.
Updates the list of clients of r with all.
"""
self._clients.setdefault(r, set()).update(all)
def __remove_clients__(self, r, all):
"""
r -> result
all -> list of (op, i) pairs representing who r is an input of.
Removes all from the clients list of r.
"""
if not all:
return
self._clients[r].difference_update(all)
......@@ -344,11 +384,12 @@ class Env(graph.Graph):
self._orphans.remove(r)
def __import_r_satisfy__(self, results):
# Satisfies the owners of the results.
for op in graph.ops(self.results(), results):
self.satisfy(op)
def __import_r__(self, results):
# Imports the owners of the results
for result in results:
owner = result.owner
if owner:
......@@ -385,6 +426,7 @@ class Env(graph.Graph):
__import__.E_output = 'op output in Env.inputs'
def __prune_r__(self, results):
# Prunes the owners of the results.
for result in set(results):
if result in self.inputs:
continue
......@@ -393,6 +435,10 @@ class Env(graph.Graph):
self.__prune__(owner)
def __prune__(self, op):
# If op's outputs have no clients, removes it from the graph
# and recursively tries to prune its inputs. If at least one
# of the op's outputs is an output to the graph or has a client
# then __prune__ is a no-op.
for output in op.outputs:
# Cannot prune an op which is an output or used somewhere
if self.clients(output) or output in self.outputs: #output in self.outputs or self.clients(output):
......
差异被折叠。
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