1 files changed, 0 insertions, 42 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_1/fully_connected_float_4d_simple.mod.py b/runtimes/tests/neural_networks_test/specs/V1_1/fully_connected_float_4d_simple.mod.py
deleted file mode 100644
index b9a629025..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_1/fully_connected_float_4d_simple.mod.py
+++ /dev/null
@@ -1,42 +0,0 @@
-#
-# 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.
-#
-
-# This test is for testing the input requirements of Fully Connected Op:
-# the input's first dimension doesn't have to be the batch size, the
-# input is reshaped as needed.
-
-model = Model()
-in0 = Input("op1", "TENSOR_FLOAT32", "{4, 1, 5, 1}")
-weights = Parameter("op2", "TENSOR_FLOAT32", "{3, 10}", [
-      1, 2, 3, 4, 5, 6, 7, 8, 9, 10,  # u = 0
-      1, 2, 3, 4, 5, 6, 7, 8, 9, 10,  # u = 1
-      1, 2, 3, 4, 5, 6, 7, 8, 9, 10,  # u = 1
-])
-bias = Parameter("b0", "TENSOR_FLOAT32", "{3}", [1, 2, 3])
-out0 = Output("op3", "TENSOR_FLOAT32", "{2, 3}")
-act = Int32Scalar("act", 0)
-model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
-
-# Example 1. Input in operand 0,
-input0 = {in0: # input 0
-          [1, 2, 3, 4, 5, 6, 7,  8, -9, -10,
-           1, 2, 3, 4, 5, 6, 7, -8,  9, -10]}
-output0 = {out0: # output 0
-               [24, 25, 26,
-                58, 59, 60]}
-
-# Instantiate an example
-Example((input0, output0))