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https://github.com/saymrwulf/pytorch.git
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5cd0f5e8ec
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/41645 Pull Request resolved: https://github.com/facebookresearch/pytext/pull/1405 Test Plan: buck test Reviewed By: thatch Differential Revision: D20323893 fbshipit-source-id: 54665d589568c4198e96a27f0ed8e5b41df7b86b
46 lines
1.8 KiB
Python
46 lines
1.8 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 workspace, crf
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from caffe2.python.cnn import CNNModelHelper
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from caffe2.python.crf_predict import crf_update_predictions
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from caffe2.python.test_util import TestCase
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import hypothesis.strategies as st
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from hypothesis import given, settings
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import numpy as np
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class TestCrfDecode(TestCase):
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@given(num_tags=st.integers(2, 4), num_words=st.integers(2, 15))
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@settings(deadline=2000)
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def test_crf_viterbi(self, num_tags, num_words):
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model = CNNModelHelper(name='external')
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predictions = np.random.randn(num_words, num_tags).astype(np.float32)
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transitions = np.random.uniform(
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low=-1, high=1, size=(num_tags + 2, num_tags + 2)
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).astype(np.float32)
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predictions_blob, transitions_blob = (
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model.net.AddExternalInputs('predictions', 'crf_transitions')
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)
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workspace.FeedBlob(str(transitions_blob), transitions)
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workspace.FeedBlob(str(predictions_blob), predictions)
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crf_layer = crf.CRFWithLoss(model, num_tags, transitions_blob)
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updated_predictions = crf_update_predictions(
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model, crf_layer, predictions_blob
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)
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ref_predictions = crf_layer.update_predictions(predictions_blob)
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workspace.RunNetOnce(model.param_init_net)
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workspace.RunNetOnce(model.net)
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updated_predictions = workspace.FetchBlob(str(updated_predictions))
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ref_predictions = workspace.FetchBlob(str(ref_predictions))
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np.testing.assert_allclose(
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updated_predictions,
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ref_predictions,
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atol=1e-4, rtol=1e-4, err_msg='Mismatch in CRF predictions'
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)
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