def maybe_cached_fun(x):
if graph:
_graph = graph[0]
vals = {_graph[0]: x}
for node in _graph[1:]:
vals[node] = node.partial_fun([vals[p] for p in node.parents])
return vals[node]
else:
start_node = ConstGraphNode.new_root()
end_value, end_node = trace(start_node, _fun.pop(), x)
if end_node is None:
raise Exception("Output is independent of input")
graph.append(list(toposort(end_node))[::-1])
return end_value
def maybe_cached_fun(x):
if graph:
_graph = graph[0]
vals = {_graph[0] : x}
for node in _graph[1:]:
vals[node] = node.partial_fun([vals[p] for p in node.parents])
return vals[node]
else:
start_node = ConstGraphNode.new_root()
end_value, end_node = trace(start_node, _fun.pop(), x)
if end_node is None:
raise Exception("Output is independent of input")
graph.append(list(toposort(end_node))[::-1])
return end_value
def time_fan_out_fan_in_forward_pass():
if MASTER_BRANCH:
forward_pass(fan_out_fan_in, (2.,), {})
else:
start_node = VJPNode.new_root()
trace(start_node, fan_out_fan_in, x)
def time_long_forward_pass():
if MASTER_BRANCH:
forward_pass(f_long, (2.,), {})
else:
start_node = VJPNode.new_root()
trace(start_node, f_long, x)
def time_exp_call():
onp.exp(2.)
def time_exp_primitive_call_unboxed():
np.exp(2.)
def time_exp_primitive_call_boxed():
if MASTER_BRANCH:
np.exp(progenitor)
else:
np.exp(start_box)
def time_no_autograd_control():
# Test whether the benchmarking machine is running slowly independent of autograd
A = np.random.randn(200, 200)
np.dot(A, A)
if MASTER_BRANCH:
short_start_node, short_end_node = forward_pass(f_short, (2.,), {})
long_start_node, long_end_node = forward_pass(f_long, (2.,), {})
fan_start_node, fan_end_node = forward_pass(fan_out_fan_in, (2.,), {})
progenitor = new_progenitor(2.)
else:
x = 2.
start_node = VJPNode.new_root()
start_box = new_box(x, 0, start_node)
_, short_end_node = trace(VJPNode.new_root(), f_short, x)
_, long_end_node = trace(VJPNode.new_root(), f_long, x)
_, fan_end_node = trace(VJPNode.new_root(), fan_out_fan_in, x)
def print_trace(f, x):
start_node = PrintNode.new_root(x)
trace(start_node, f, x)
print
def full_graph(fun, *args, **kwargs):
unary_fun = lambda args: fun(*args, **kwargs)
start_node = FullGraphNode.new_root()
end_value, end_node = trace(start_node, unary_fun, args)
return end_node
def tf_fun(*tf_xs):
fmap_in = fmap_out = container_fmap
start_nodes = fmap_in(TFNode, tf_xs)
end_values, end_nodes = trace(fun, xs, start_nodes, fmap_in, fmap_out)
return fmap_out(lambda n, v: v
if n is None else n.tensor, end_nodes, end_values)
def print_trace(f, x):
start_node = PrintNode.new_root(x)
trace(start_node, f, x)
print()
def trace_graph(f, x):
start_node = GraphNode.new_root(x)
_, node = trace(start_node, f, x)
return node
def full_graph(fun, *args, **kwargs):
unary_fun = lambda args: fun(*args, **kwargs)
start_node = FullGraphNode.new_root()
end_value, end_node = trace(start_node, unary_fun, args)
return end_node
def trace_graph(f, x):
start_node = GraphNode.new_root(x)
_, node = trace(start_node, f, x)
return node
def time_fan_out_fan_in_forward_pass():
if MASTER_BRANCH:
forward_pass(fan_out_fan_in, (2.,), {})
else:
start_node = VJPNode.new_root(x)
trace(start_node, fan_out_fan_in, x)
def time_long_forward_pass():
if MASTER_BRANCH:
forward_pass(f_long, (2.,), {})
else:
start_node = VJPNode.new_root(x)
trace(start_node, f_long, x)
def time_exp_call():
onp.exp(2.)
def time_exp_primitive_call_unboxed():
np.exp(2.)
def time_exp_primitive_call_boxed():
if MASTER_BRANCH:
np.exp(progenitor)
else:
np.exp(start_box)
def time_no_autograd_control():
# Test whether the benchmarking machine is running slowly independent of autograd
A = np.random.randn(200, 200)
np.dot(A, A)
if MASTER_BRANCH:
short_start_node, short_end_node = forward_pass(f_short, (2.,), {})
long_start_node, long_end_node = forward_pass(f_long, (2.,), {})
fan_start_node, fan_end_node = forward_pass(fan_out_fan_in, (2.,), {})
progenitor = new_progenitor(2.)
else:
x = 2.
start_node = VJPNode.new_root(x)
start_box = new_box(x, 0, start_node)
_, short_end_node = trace(VJPNode.new_root(x), f_short, x)
_, long_end_node = trace(VJPNode.new_root(x), f_long, x)
_, fan_end_node = trace(VJPNode.new_root(x), fan_out_fan_in, x)
