def make_all(self,
input_storage=None,
output_storage=None,
storage_map=None):
"""
Returns Function to run all nodes, list of input containers, list of outputs
Parameters
----------
input_storage
list of storages corresponding to fgraph.inputs
output_storage
list of storages corresponding to fgraph.outputs
Returns
-------
object
Function to run all nodes, list of input containers, list of output
containers, list of thunks (for all programs), list of nodes
(for all programs).
"""
fgraph = self.fgraph
order = self.schedule(fgraph)
no_recycling = self.no_recycling
input_storage, output_storage, storage_map = map_storage(
fgraph, order, input_storage, output_storage, storage_map)
compute_map = {}
for k in storage_map:
compute_map[k] = [k.owner is None]
thunks = []
for node in order:
# Maker sure we don't use C version of the code, but rather only
# the python version
# Note : ops that implement their own make thunk don't usually
# have this attribute defiend !!
thunks += [
node.op.make_thunk(node, storage_map, compute_map,
no_recycling, "py")
]
thunks[-1].inputs = [storage_map[v] for v in node.inputs]
thunks[-1].outputs = [storage_map[v] for v in node.outputs]
computed, last_user = gc_helper(order)
if self.allow_gc:
post_thunk_old_storage = []
else:
post_thunk_old_storage = None
for node in order:
if self.allow_gc:
post_thunk_old_storage.append([
storage_map[input] for input in node.inputs
if (input in computed) and (input not in fgraph.outputs)
and (node == last_user[input])
])
if no_recycling is True:
# True seems like some special code for *everything*?? -JB
# FunctionMaker always passes a list I think -JB
no_recycling = list(storage_map.values())
no_recycling = utils.difference(no_recycling, input_storage)
else:
no_recycling = [
storage_map[r] for r in no_recycling if r not in fgraph.inputs
]
# The function that actually runs your program is one of the f's in streamline.
f = streamline(fgraph,
thunks,
order,
post_thunk_old_storage,
no_recycling=no_recycling)
f.allow_gc = (
self.allow_gc
) # HACK: this is a way of passing an arg to Function.__call__
f.storage_map = storage_map
return (
f,
[
Container(input, storage)
for input, storage in zip(fgraph.inputs, input_storage)
],
[
Container(output, storage, readonly=True)
for output, storage in zip(fgraph.outputs, output_storage)
],
thunks,
order,
)
def make_all(self,
input_storage=None,
output_storage=None,
storage_map=None):
fgraph = self.fgraph
nodes = self.schedule(fgraph)
no_recycling = self.no_recycling
input_storage, output_storage, storage_map = map_storage(
fgraph, nodes, input_storage, output_storage, storage_map)
compute_map = {}
for k in storage_map:
compute_map[k] = [k.owner is None]
try:
# We need to create thunk functions that will populate the output
# storage arrays with the JAX-computed values.
thunks, nodes = self.create_jax_thunks(compute_map, storage_map)
except NotImplementedError as e:
if not self.allow_non_jax:
raise
warn(f"JaxLinker could not JAXify graph: {e}")
thunks = []
for node in nodes:
thunk = node.op.make_thunk(node, storage_map, compute_map,
no_recycling, "py")
thunk_inputs = [storage_map[v] for v in node.inputs]
thunk_outputs = [storage_map[v] for v in node.outputs]
thunk.inputs = thunk_inputs
thunk.outputs = thunk_outputs
thunks.append(thunk)
computed, last_user = gc_helper(nodes)
if self.allow_gc:
post_thunk_old_storage = []
for node in nodes:
post_thunk_old_storage.append([
storage_map[input] for input in node.inputs
if (input in computed) and (input not in fgraph.outputs)
and (node == last_user[input])
])
else:
post_thunk_old_storage = None
if no_recycling is True:
no_recycling = list(storage_map.values())
no_recycling = utils.difference(no_recycling, input_storage)
else:
no_recycling = [
storage_map[r] for r in no_recycling if r not in fgraph.inputs
]
fn = streamline(fgraph,
thunks,
nodes,
post_thunk_old_storage,
no_recycling=no_recycling)
fn.allow_gc = self.allow_gc
fn.storage_map = storage_map
return (
fn,
[
Container(input, storage)
for input, storage in zip(fgraph.inputs, input_storage)
],
[
Container(output, storage, readonly=True)
for output, storage in zip(fgraph.outputs, output_storage)
],
thunks,
nodes,
)
def make_all(
self,
profiler=None,
input_storage=None,
output_storage=None,
storage_map=None,
):
fgraph = self.fgraph
order = self.schedule(fgraph)
input_storage, output_storage, storage_map = map_storage(
fgraph, order, input_storage, output_storage, storage_map)
compute_map = {}
for k in storage_map:
compute_map[k] = [k.owner is None]
thunks = []
# Collect Reallocation Info
compute_map_re = defaultdict(lambda: [0])
for var in fgraph.inputs:
compute_map_re[var][0] = 1
if getattr(fgraph.profile, "dependencies", None):
dependencies = fgraph.profile.dependencies
else:
dependencies = self.compute_gc_dependencies(storage_map)
reallocated_info = calculate_reallocate_info(order, fgraph,
storage_map,
compute_map_re,
dependencies)
t0 = time.time()
linker_make_thunk_time = {}
impl = None
if self.c_thunks is False:
impl = "py"
for node in order:
try:
thunk_start = time.time()
# no-recycling is done at each VM.__call__ So there is
# no need to cause duplicate c code by passing
# no_recycling here.
thunks.append(
node.op.make_thunk(node,
storage_map,
compute_map, [],
impl=impl))
linker_make_thunk_time[node] = time.time() - thunk_start
if not hasattr(thunks[-1], "lazy"):
# We don't want all ops maker to think about lazy Ops.
# So if they didn't specify that its lazy or not, it isn't.
# If this member isn't present, it will crash later.
thunks[-1].lazy = False
except Exception as e:
e.args = (
"The following error happened while"
" compiling the node",
node,
"\n",
) + e.args
raise
t1 = time.time()
if self.profile:
self.profile.linker_node_make_thunks += t1 - t0
self.profile.linker_make_thunk_time = linker_make_thunk_time
for node, thunk in zip(order, thunks):
thunk.inputs = [storage_map[v] for v in node.inputs]
thunk.outputs = [storage_map[v] for v in node.outputs]
lazy = self.lazy
if lazy is None:
lazy = config.vm__lazy
if lazy is None:
lazy = not all([(not th.lazy) for th in thunks])
if not (lazy or ((config.profile or config.print_global_stats)
and config.profile_memory) or self.use_cloop
or self.callback or self.callback_input):
for pair in reallocated_info.values():
storage_map[pair[1]] = storage_map[pair[0]]
computed, last_user = gc_helper(order)
if self.allow_gc:
post_thunk_clear = []
for node in order:
clear_after_this_thunk = []
for input in node.inputs:
if (input in computed and input not in fgraph.outputs
and node == last_user[input]
and input not in reallocated_info):
clear_after_this_thunk.append(storage_map[input])
post_thunk_clear.append(clear_after_this_thunk)
else:
post_thunk_clear = None
vm = self.make_vm(
order,
thunks,
input_storage,
output_storage,
storage_map,
post_thunk_clear,
computed,
compute_map,
self.updated_vars,
)
vm.storage_map = storage_map
vm.compute_map = compute_map
return (
vm,
[
Container(input, storage)
for input, storage in zip(fgraph.inputs, input_storage)
],
[
Container(output, storage, readonly=True)
for output, storage in zip(fgraph.outputs, output_storage)
],
thunks,
order,
)