def test_comptime_run():
x = theano.tensor.matrix('x')
y = theano.tensor.matrix('y')
z = theano.tensor.dot(x, y)
inputs, outputs = (x, y), (z,)
variables = theano.gof.graph.variables(inputs, outputs)
nodes = theano.gof.graph.list_of_nodes(inputs, outputs)
theano.gof.utils.give_variables_names(variables)
map(clean_variable, variables)
input_shapes = {x: (10, 10), y: (10, 10)}
known_shapes = shape_of_variables(inputs, outputs, input_shapes)
known_shapes = {str(k): v for k,v in known_shapes.items()}
time_comp_fn = lambda ins, outs, num_ins, niter: 1
fgraphs = list(graph_iter(nodes))
niter = 3
results = comptime_run(known_shapes, niter, fgraphs, time_comp_fn)
assert results == [1]*len(fgraphs)
from sys import argv, stdout, stdin, stderr
import theano
import time
from ape.timings.computation.run import debugprint, collect_inputs, comptime_run
mode = theano.compile.mode.get_default_mode()
mode = mode.excluding('gpu')
def time_computation(inputs, outputs, numeric_inputs, niter):
f = theano.function(inputs, outputs, mode=mode)
starttime = time.time()
debugprint("Computing")
for n in xrange(niter):
outputs = f(*numeric_inputs)
endtime = time.time()
duration = endtime - starttime
return duration / niter
if __name__ == '__main__':
known_shapes, niter, fgraphs = collect_inputs(argv, stdin)
results = comptime_run(known_shapes, niter, fgraphs, time_computation)
stdout.write(str(results))
stdout.close()
from sys import argv, stdout, stdin, stderr
import theano
import time
from ape.timings.computation.run import debugprint, collect_inputs, comptime_run
mode = theano.compile.mode.get_default_mode()
mode = mode.excluding('gpu')
def time_computation(inputs, outputs, numeric_inputs, niter):
f = theano.function(inputs, outputs, mode=mode)
starttime = time.time()
debugprint("Computing")
for n in xrange(niter):
outputs = f(*numeric_inputs)
endtime = time.time()
duration = endtime - starttime
return duration/niter
if __name__ == '__main__':
known_shapes, niter, fgraphs = collect_inputs(argv, stdin)
results = comptime_run(known_shapes, niter, fgraphs, time_computation)
stdout.write(str(results))
stdout.close()
