mirror of
https://github.com/pytorch/pytorch.git
synced 2025-10-20 21:14:14 +08:00
Summary: There is a module called `2to3` which you can target for future specifically to remove these, the directory of `caffe2` has the most redundant imports: ```2to3 -f future -w caffe2``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/45033 Reviewed By: seemethere Differential Revision: D23808648 Pulled By: bugra fbshipit-source-id: 38971900f0fe43ab44a9168e57f2307580d36a38
100 lines
3.1 KiB
Python
100 lines
3.1 KiB
Python
|
|
|
|
|
|
|
|
|
|
from caffe2.python import net_printer
|
|
from caffe2.python.checkpoint import Job
|
|
from caffe2.python.net_builder import ops
|
|
from caffe2.python.task import Task, final_output, WorkspaceType
|
|
import unittest
|
|
|
|
|
|
def example_loop():
|
|
with Task():
|
|
total = ops.Const(0)
|
|
total_large = ops.Const(0)
|
|
total_small = ops.Const(0)
|
|
total_tiny = ops.Const(0)
|
|
with ops.loop(10) as loop:
|
|
outer = ops.Mul([loop.iter(), ops.Const(10)])
|
|
with ops.loop(loop.iter()) as inner:
|
|
val = ops.Add([outer, inner.iter()])
|
|
with ops.If(ops.GE([val, ops.Const(80)])) as c:
|
|
ops.Add([total_large, val], [total_large])
|
|
with c.Elif(ops.GE([val, ops.Const(50)])) as c:
|
|
ops.Add([total_small, val], [total_small])
|
|
with c.Else():
|
|
ops.Add([total_tiny, val], [total_tiny])
|
|
ops.Add([total, val], total)
|
|
|
|
|
|
def example_task():
|
|
with Task():
|
|
with ops.task_init():
|
|
one = ops.Const(1)
|
|
two = ops.Add([one, one])
|
|
with ops.task_init():
|
|
three = ops.Const(3)
|
|
accum = ops.Add([two, three])
|
|
# here, accum should be 5
|
|
with ops.task_exit():
|
|
# here, accum should be 6, since this executes after lines below
|
|
seven_1 = ops.Add([accum, one])
|
|
six = ops.Add([accum, one])
|
|
ops.Add([accum, one], [accum])
|
|
seven_2 = ops.Add([accum, one])
|
|
o6 = final_output(six)
|
|
o7_1 = final_output(seven_1)
|
|
o7_2 = final_output(seven_2)
|
|
|
|
with Task(num_instances=2):
|
|
with ops.task_init():
|
|
one = ops.Const(1)
|
|
with ops.task_instance_init():
|
|
local = ops.Const(2)
|
|
ops.Add([one, local], [one])
|
|
ops.LogInfo('ble')
|
|
|
|
return o6, o7_1, o7_2
|
|
|
|
def example_job():
|
|
with Job() as job:
|
|
with job.init_group:
|
|
example_loop()
|
|
example_task()
|
|
return job
|
|
|
|
|
|
class TestNetPrinter(unittest.TestCase):
|
|
def test_print(self):
|
|
self.assertTrue(len(net_printer.to_string(example_job())) > 0)
|
|
|
|
def test_valid_job(self):
|
|
job = example_job()
|
|
with job:
|
|
with Task():
|
|
# distributed_ctx_init_* ignored by analyzer
|
|
ops.Add(['distributed_ctx_init_a', 'distributed_ctx_init_b'])
|
|
# net_printer.analyze(example_job())
|
|
print(net_printer.to_string(example_job()))
|
|
|
|
def test_undefined_blob(self):
|
|
job = example_job()
|
|
with job:
|
|
with Task():
|
|
ops.Add(['a', 'b'])
|
|
with self.assertRaises(AssertionError) as e:
|
|
net_printer.analyze(job)
|
|
self.assertEqual("Blob undefined: a", str(e.exception))
|
|
|
|
def test_multiple_definition(self):
|
|
job = example_job()
|
|
with job:
|
|
with Task(workspace_type=WorkspaceType.GLOBAL):
|
|
ops.Add([ops.Const(0), ops.Const(1)], 'out1')
|
|
with Task(workspace_type=WorkspaceType.GLOBAL):
|
|
ops.Add([ops.Const(2), ops.Const(3)], 'out1')
|
|
with self.assertRaises(AssertionError):
|
|
net_printer.analyze(job)
|