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from caffe2.python import core
import caffe2.python.hypothesis_test_util as hu
import caffe2.python.serialized_test.serialized_test_util as serial
import hypothesis.strategies as st
import numpy as np
class TestLengthsTileOp(serial.SerializedTestCase):
@serial.given(
inputs=st.integers(min_value=1, max_value=20).flatmap(
lambda size: st.tuples(
hu.arrays([size], dtype=np.float32),
hu.arrays([size], dtype=np.int32,
elements=st.integers(min_value=0, max_value=20)),
)
),
**hu.gcs)
def test_lengths_tile(self, inputs, gc, dc):
data, lengths = inputs
def lengths_tile_op(data, lengths):
return [np.concatenate([
[d] * l for d, l in zip(data, lengths)
])]
op = core.CreateOperator(
"LengthsTile",
["data", "lengths"],
["output"],
)
self.assertReferenceChecks(
device_option=gc,
op=op,
inputs=[data, lengths],
reference=lengths_tile_op,
)
self.assertGradientChecks(
device_option=gc,
op=op,
inputs=[data, lengths],
outputs_to_check=0,
outputs_with_grads=[0]
)
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