mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-06 12:20:52 +01:00
17151ca14f
Summary:
Introduces 2 utitilies:
- ##print_obj##: Prints the whole Job in a nice way -- each op call takes one single line and nets are inlined for much better readability. Loops and parallel steps are easy to read.
- ##analyse_obj##: Goes through a Job and checks 2 things:
- that there will be no undefined blob errors at execution.
- no blob of same name will be created by parallel execution steps
Reviewed By: dzhulgakov
Differential Revision: D4142381
fbshipit-source-id: 61bf3398c22e9947493e99145ce2bfc2646830a6
90 lines
2.8 KiB
Python
90 lines
2.8 KiB
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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from caffe2.python import net_printer
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from caffe2.python.checkpoint import Job
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from caffe2.python.net_builder import ops
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from caffe2.python.task import Task, final_output
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import unittest
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def example_loop():
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with Task():
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total = ops.Const(0)
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total_large = ops.Const(0)
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total_small = ops.Const(0)
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total_tiny = ops.Const(0)
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with ops.loop(10) as loop:
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outer = ops.Mul([loop.iter(), ops.Const(10)])
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with ops.loop(loop.iter()) as inner:
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val = ops.Add([outer, inner.iter()])
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with ops.If(ops.GE([val, ops.Const(80)])) as c:
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ops.Add([total_large, val], [total_large])
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with c.Elif(ops.GE([val, ops.Const(50)])) as c:
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ops.Add([total_small, val], [total_small])
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with c.Else():
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ops.Add([total_tiny, val], [total_tiny])
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ops.Add([total, val], total)
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def example_task():
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with Task():
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with ops.task_init():
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one = ops.Const(1)
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two = ops.Add([one, one])
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with ops.task_init():
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three = ops.Const(3)
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accum = ops.Add([two, three])
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# here, accum should be 5
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with ops.task_exit():
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# here, accum should be 6, since this executes after lines below
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seven_1 = ops.Add([accum, one])
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six = ops.Add([accum, one])
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ops.Add([accum, one], [accum])
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seven_2 = ops.Add([accum, one])
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o6 = final_output(six)
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o7_1 = final_output(seven_1)
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o7_2 = final_output(seven_2)
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return o6, o7_1, o7_2
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def example_job():
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with Job() as job:
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with job.init_group:
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example_loop()
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example_task()
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return job
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class TestNetPrinter(unittest.TestCase):
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def test_print(self):
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self.assertTrue(len(net_printer.to_string(example_job())) > 0)
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def test_valid_job(self):
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job = example_job()
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with job:
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with Task():
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# distributed_ctx_init_* ignored by analyzer
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ops.Add(['distributed_ctx_init_a', 'distributed_ctx_init_b'])
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net_printer.analyze(example_job())
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def test_undefined_blob(self):
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job = example_job()
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with job:
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with Task():
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ops.Add(['a', 'b'])
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with self.assertRaises(AssertionError):
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net_printer.analyze(job)
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def test_multiple_definition(self):
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job = example_job()
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with job:
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with Task():
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ops.Add([ops.Const(0), ops.Const(1)], 'out1')
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with Task():
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ops.Add([ops.Const(2), ops.Const(3)], 'out1')
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with self.assertRaises(AssertionError):
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net_printer.analyze(job)
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