mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 00:21:07 +01:00
8286ce1e3a
Summary: Closes https://github.com/caffe2/caffe2/pull/1260 Differential Revision: D5906739 Pulled By: Yangqing fbshipit-source-id: e482ba9ba60b5337d9165f28f7ec68d4518a0902
115 lines
3.9 KiB
Python
115 lines
3.9 KiB
Python
# Copyright (c) 2016-present, Facebook, Inc.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
##############################################################################
|
|
|
|
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import print_function
|
|
from __future__ import unicode_literals
|
|
|
|
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)
|