pytorch/caffe2/python/modeling/initializers_test.py
Luke Yeager 2579be1227 Skip fp16 initializer test for CPU-only builds
Summary:
Working towards https://github.com/caffe2/caffe2/pull/817.
```
E           AttributeError: Method FloatToHalf is not a registered operator. Did you mean: []
```
https://travis-ci.org/caffe2/caffe2/jobs/243867951

/cc slayton58
Closes https://github.com/caffe2/caffe2/pull/829

Differential Revision: D5276796

Pulled By: akyrola

fbshipit-source-id: 34edca6090a9ce7ab39ae1fdc0e83b5c3b7e4f49
2017-06-19 12:21:25 -07:00

57 lines
2.2 KiB
Python

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import unittest
from caffe2.python import brew, model_helper, workspace
from caffe2.python.modeling.initializers import (
Initializer, pFP16Initializer)
class InitializerTest(unittest.TestCase):
def test_fc_initializer(self):
model = model_helper.ModelHelper(name="test")
data = model.net.AddExternalInput("data")
fc1 = brew.fc(model, data, "fc1", dim_in=1, dim_out=1)
# no operator name set, will use default
fc2 = brew.fc(model, fc1, "fc2", dim_in=1, dim_out=1,
WeightInitializer=Initializer)
# no operator name set, will use custom
fc3 = brew.fc(model, fc2, "fc3", dim_in=1, dim_out=1,
WeightInitializer=Initializer,
weight_init=("ConstantFill", {}),
)
# operator name set, no initializer class set
fc4 = brew.fc(model, fc3, "fc4", dim_in=1, dim_out=1,
WeightInitializer=None,
weight_init=("ConstantFill", {})
)
@unittest.skipIf(not workspace.has_gpu_support, 'No GPU support')
def test_fc_fp16_initializer(self):
model = model_helper.ModelHelper(name="test")
data = model.net.AddExternalInput("data")
fc1 = brew.fc(model, data, "fc1", dim_in=1, dim_out=1)
# default operator, pFP16Initializer
fc2 = brew.fc(model, fc1, "fc2", dim_in=1, dim_out=1,
WeightInitializer=pFP16Initializer
)
# specified operator, pFP16Initializer
fc3 = brew.fc(model, fc2, "fc3", dim_in=1, dim_out=1,
weight_init=("ConstantFill", {}),
WeightInitializer=pFP16Initializer
)
def test_fc_external_initializer(self):
model = model_helper.ModelHelper(name="test", init_params=False)
data = model.net.AddExternalInput("data")
fc1 = brew.fc(model, data, "fc1", dim_in=1, dim_out=1) # noqa
self.assertEqual(len(model.net.Proto().op), 1)
self.assertEqual(len(model.param_init_net.Proto().op), 0)