1 files changed, 42 insertions, 0 deletions
diff --git a/tests/nnapi/specs/skip/V1_1/lsh_projection_2_relaxed.mod.py b/tests/nnapi/specs/skip/V1_1/lsh_projection_2_relaxed.mod.py
new file mode 100644
index 000000000..6608b0666
--- /dev/null
+++ b/tests/nnapi/specs/skip/V1_1/lsh_projection_2_relaxed.mod.py
@@ -0,0 +1,42 @@
+#
+# Copyright (C) 2018 The Android Open Source Project
+#
+# 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.
+#
+
+num_input = 3
+num_hash = 4
+num_bits = 2
+
+model = Model()
+
+hhash = Parameter("hash", "TENSOR_FLOAT32", "{%d, %d}" % (num_hash, num_bits),
+                  [0.123, 0.456, -0.321, -0.654, 1.234, 5.678, -4.321, -8.765])
+lookup = Input("lookup", "TENSOR_INT32", "{%d, %d}" % (num_input, num_bits))
+weight = Input("weight", "TENSOR_FLOAT32", "{%d}" % (num_input))
+type_param = Int32Scalar("type_param", 1)  # SPARSE
+output = Output("output", "TENSOR_INT32", "{%d}" % (num_hash))
+model = model.Operation("LSH_PROJECTION", hhash, lookup, weight,
+                        type_param).To(output)
+model = model.RelaxedExecution(True)
+
+# Omit weight, since this is a sparse projection, for which the optional weight
+# input should be left unset.
+input0 = {
+    lookup: [12345, 54321, 67890, 9876, -12345678, -87654321],
+    weight: [],
+}
+
+output0 = {output: [1, 2, 2, 0]}
+
+Example((input0, output0))