pytorch/caffe2/python/operator_test/loss_ops_test.py
Richard Barnes 9945fd7253 Drop unused imports from caffe2/python (#49980)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/49980

From
```
./python/libcst/libcst codemod remove_unused_imports.RemoveUnusedImportsWithGlean --no-format caffe2/
```

Test Plan: Standard sandcastle tests

Reviewed By: xush6528

Differential Revision: D25727359

fbshipit-source-id: c4f60005b10546423dc093d31d46deb418352286
2021-01-05 13:17:46 -08:00

41 lines
902 B
Python

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 TestLossOps(serial.SerializedTestCase):
@serial.given(n=st.integers(1, 8), **hu.gcs)
def test_averaged_loss(self, n, gc, dc):
X = np.random.rand(n).astype(np.float32)
def avg_op(X):
return [np.mean(X)]
op = core.CreateOperator(
"AveragedLoss",
["X"],
["y"],
)
self.assertReferenceChecks(
device_option=gc,
op=op,
inputs=[X],
reference=avg_op,
)
self.assertGradientChecks(
device_option=gc,
op=op,
inputs=[X],
outputs_to_check=0,
outputs_with_grads=[0],
)