| |
| import unittest |
| |
| import caffe2.python.hypothesis_test_util as hu |
| import hypothesis.strategies as st |
| import numpy as np |
| from caffe2.python import core, dyndep |
| from hypothesis import given, settings |
| |
| |
| dyndep.InitOpsLibrary("@/caffe2/modules/detectron:detectron_ops") |
| |
| |
| class TestUpsampleNearestOp(hu.HypothesisTestCase): |
| @given( |
| N=st.integers(1, 3), |
| H=st.integers(10, 300), |
| W=st.integers(10, 300), |
| scale=st.integers(1, 3), |
| **hu.gcs |
| ) |
| @settings(deadline=None, max_examples=20) |
| def test_upsample_nearest_op(self, N, H, W, scale, gc, dc): |
| C = 32 |
| X = np.random.randn(N, C, H, W).astype(np.float32) |
| op = core.CreateOperator("UpsampleNearest", ["X"], ["Y"], scale=scale) |
| |
| def ref(X): |
| outH = H * scale |
| outW = W * scale |
| outH_idxs, outW_idxs = np.meshgrid( |
| np.arange(outH), np.arange(outW), indexing="ij" |
| ) |
| inH_idxs = (outH_idxs / scale).astype(np.int32) |
| inW_idxs = (outW_idxs / scale).astype(np.int32) |
| Y = X[:, :, inH_idxs, inW_idxs] |
| return [Y] |
| |
| self.assertReferenceChecks(device_option=gc, op=op, inputs=[X], reference=ref) |
| |
| |
| if __name__ == "__main__": |
| unittest.main() |