Merge pull request #118 from facebookresearch/fcrelu-where

Add unit test for broadcasted fcrelu

Author: prigoyal

test_python/layers/test_broadcast_fcrelu.py

@@ -0,0 +1,40 @@
+# Copyright (c) 2017-present, Facebook, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+##############################################################################
+
+import tensor_comprehensions as tc
+
+import torch
+import torch.cuda
+import unittest
+
+
+class TestBroadcastFCRelu(unittest.TestCase):
+
+    def test_broadcast_fcrelu(self):
+        LANG = """
+        def fcrelu(float(B, M) I, float(N, M) W1, float(N) B1) -> (O1) {
+            O1(b, n) = B1(n) where b in 0:B
+            O1(b, n) += I(b, m) * W1(n, m)
+            O1(b, n) = fmax(O1(b, n), 0)
+        }
+        """
+        B, M, N = 100, 128, 100
+        fcrelu = tc.define(LANG, name="fcrelu")
+        I, W1, B1 = torch.randn(B, M).cuda(), torch.randn(N, M).cuda(), torch.randn(N).cuda()
+        out = fcrelu(I, W1, B1)
+
+
+if __name__ == '__main__':
+    unittest.main()

test_python/run_test.sh

@@ -51,6 +51,7 @@ $PYTHON layers/test_dump_cuda.py -v
 $PYTHON layers/test_external_cuda_injection.py -v
 $PYTHON layers/test_fc.py -v
 $PYTHON layers/test_fusion_fcrelu.py -v
+$PYTHON layers/test_broadcast_fcrelu.py -v
 $PYTHON layers/test_group_convolution.py -v
 $PYTHON layers/test_group_convolution_strided.py -v
 $PYTHON layers/test_indexing.py -v