1 files changed, 0 insertions, 36 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_quant8_2.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_quant8_2.mod.py
deleted file mode 100644
index a87eee811..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_quant8_2.mod.py
+++ /dev/null
@@ -1,36 +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.
-#
-
-model = Model()
-in0 = Input("op1", "TENSOR_QUANT8_ASYMM", "{4, 1, 5, 1}, 0.5f, 127")
-weights = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{3, 10}, 0.5f, 127",
-         [129, 131, 133, 135, 137, 139, 141, 143, 145, 147,
-          129, 131, 133, 135, 137, 139, 141, 143, 145, 147,
-          129, 131, 133, 135, 137, 139, 141, 143, 145, 147])
-bias = Parameter("b0", "TENSOR_INT32", "{3}, 0.25f, 0", [4, 8, 12])
-out0 = Output("op3", "TENSOR_QUANT8_ASYMM", "{2, 3}, 1.f, 127")
-act_relu = Int32Scalar("act_relu", 1)
-model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act_relu).To(out0)
-
-# Example 1. Input in operand 0,
-input0 = {in0: # input 0
-          [129, 131, 133, 135, 137, 139, 141, 143, 109, 107,
-           129, 131, 133, 135, 137, 139, 141, 111, 145, 107]}
-output0 = {out0: # output 0
-           [151, 152, 153, 185, 186, 187]}
-
-# Instantiate an example
-Example((input0, output0))