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neilisaac / torch   python

Repository URL to install this package:

Version: 1.8.0 

/ python / modeling / initializers_test.py






import unittest
from caffe2.python import brew, model_helper, workspace
from caffe2.python.modeling.initializers import (
        Initializer, PseudoFP16Initializer)


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, PseudoFP16Initializer
        fc2 = brew.fc(model, fc1, "fc2", dim_in=1, dim_out=1,
                      WeightInitializer=PseudoFP16Initializer
        )

        # specified operator, PseudoFP16Initializer
        fc3 = brew.fc(model, fc2, "fc3", dim_in=1, dim_out=1,
                      weight_init=("ConstantFill", {}),
                      WeightInitializer=PseudoFP16Initializer
        )

    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)