def testComputeNotEqual(self): translation_corpus = [[1, 2, 3, 4]] reference_corpus = [[5, 6, 7, 8]] bleu = bleu_hook.compute_bleu(reference_corpus, translation_corpus) # The smoothing prevents 0 for small corpora actual_bleu = 0.0798679 self.assertAllClose(bleu, actual_bleu, atol=1e-03)
def testBLEU():
translation_corpus = [['how', 'do', 'i', 'learn', 'linux']]
reference_corpus = [[
'how', 'do', 'i', 'learn', 'networking', 'with', 'linux'
]]
bleu = bleu_hook.compute_bleu(reference_corpus, translation_corpus)
print(bleu)
def testComputeNotEqual(self):
translation_corpus = [[1, 2, 3, 4]]
reference_corpus = [[5, 6, 7, 8]]
bleu = bleu_hook.compute_bleu(reference_corpus, translation_corpus)
# The smoothing prevents 0 for small corpora
actual_bleu = 0.0798679
self.assertAllClose(bleu, actual_bleu, atol=1e-03)
def t2t_bleu(targets, predictions):
"""Tokenizes with the bleu_tokenize method from the t2t library then
calls the compute_bleu function
Args:
targets: a list of strings, the target from the validation set
preditcions: a list of strings, the model predictions
Returns:
a dictionary: {"t2t_bleu": bleu_value}
"""
targets_tokens = [bleu_hook.bleu_tokenize(x) for x in targets]
predictions_tokens = [bleu_hook.bleu_tokenize(x) for x in predictions]
return {"t2t_bleu": 100 * bleu_hook.compute_bleu(targets_tokens,
predictions_tokens)}
def eval_metrics(self):
def get_tokens(program):
return [self.tokens[x] for x in program[:, 0].flatten().tolist()]
def get_functions(program):
return [x for x in program[:, 0] if self.tokens[x].startswith('@')]
def get_devices(program):
return [
self.tokens[x].rsplit('.', 1)[0] for x in program[:, 0]
if self.tokens[x].startswith('@')
]
def accuracy_without_parameters(predictions, labels, features):
batch_size, predictions, labels = adjust_predictions_labels(
predictions, labels, num_elements_per_time=3)
weights = tf.ones((batch_size, ), dtype=tf.float32)
ok = tf.to_float(
tf.reduce_all(tf.equal(predictions[:, :, 0], labels[:, :, 0]),
axis=1))
return ok, weights
return {
"accuracy":
accuracy,
"grammar_accuracy":
grammar_accuracy,
"device_accuracy":
make_pyfunc_metric_fn(
lambda pred, label: get_devices(pred) == get_devices(label)),
"function_accuracy":
make_pyfunc_metric_fn(lambda pred, label: get_functions(pred) ==
get_functions(label)),
"accuracy_without_parameters":
accuracy_without_parameters,
"bleu_score":
make_pyfunc_metric_fn(lambda pred, label: compute_bleu(
[get_tokens(pred)], [get_tokens(label)])),
"num_function_accuracy":
make_pyfunc_metric_fn(lambda pred, label: len(get_functions(pred))
== len(get_functions(label))),
"token_f1_accuracy":
make_pyfunc_metric_fn(lambda pred, label: compute_f1_score(
get_tokens(pred), get_tokens(label)))
}
def testComputeMultipleNgrams(self): reference_corpus = [[1, 2, 1, 13], [12, 6, 7, 4, 8, 9, 10]] translation_corpus = [[1, 2, 1, 3], [5, 6, 7, 4]] bleu = bleu_hook.compute_bleu(reference_corpus, translation_corpus) actual_bleu = 0.3436 self.assertAllClose(bleu, actual_bleu, atol=1e-03)
def testComputeMultipleBatch(self): translation_corpus = [[1, 2, 3, 4], [5, 6, 7, 0]] reference_corpus = [[1, 2, 3, 4], [5, 6, 7, 10]] bleu = bleu_hook.compute_bleu(reference_corpus, translation_corpus) actual_bleu = 0.7231 self.assertAllClose(bleu, actual_bleu, atol=1e-03)
def testComputeBleuEqual(self): translation_corpus = [[1, 2, 3]] reference_corpus = [[1, 2, 3]] bleu = bleu_hook.compute_bleu(reference_corpus, translation_corpus) actual_bleu = 1.0 self.assertEqual(bleu, actual_bleu)
def testComputeMultipleNgrams(self):
reference_corpus = [[1, 2, 1, 13], [12, 6, 7, 4, 8, 9, 10]]
translation_corpus = [[1, 2, 1, 3], [5, 6, 7, 4]]
bleu = bleu_hook.compute_bleu(reference_corpus, translation_corpus)
actual_bleu = 0.3436
self.assertAllClose(bleu, actual_bleu, atol=1e-03)
def testComputeMultipleBatch(self):
translation_corpus = [[1, 2, 3, 4], [5, 6, 7, 0]]
reference_corpus = [[1, 2, 3, 4], [5, 6, 7, 10]]
bleu = bleu_hook.compute_bleu(reference_corpus, translation_corpus)
actual_bleu = 0.7231
self.assertAllClose(bleu, actual_bleu, atol=1e-03)
def testComputeBleuEqual(self):
translation_corpus = [[1, 2, 3]]
reference_corpus = [[1, 2, 3]]
bleu = bleu_hook.compute_bleu(reference_corpus, translation_corpus)
actual_bleu = 1.0
self.assertEqual(bleu, actual_bleu)
def testComputeNotEqual(self):
translation_corpus = [[1, 2, 3, 4]]
reference_corpus = [[5, 6, 7, 8]]
bleu = bleu_hook.compute_bleu(reference_corpus, translation_corpus)
actual_bleu = 0.0
self.assertEqual(bleu, actual_bleu)
def testComputeNotEqual(self): translation_corpus = [[1, 2, 3, 4]] reference_corpus = [[5, 6, 7, 8]] bleu = bleu_hook.compute_bleu(reference_corpus, translation_corpus) actual_bleu = 0.0 self.assertEqual(bleu, actual_bleu)
def evaluate(reference_corpus, translation_corpus):
bleu = bleu_hook.compute_bleu(reference_corpus, translation_corpus)
return bleu
