1 files changed, 0 insertions, 45 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/conv_quant8.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/conv_quant8.mod.py
deleted file mode 100644
index b56e0b0e4..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_0/conv_quant8.mod.py
+++ /dev/null
@@ -1,45 +0,0 @@
-#
-# Copyright (C) 2017 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.
-
-# conv_quant8.mod.py with biases and filter being constants
-
-model = Model()
-i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 3, 3, 1}, 0.5f, 0")
-f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 0.5f, 0",
-               [2, 2, 2, 2])
-b1 = Parameter("op3", "TENSOR_INT32", "{1}, 0.25f, 0", [4])
-pad0 = Int32Scalar("pad0", 0)
-act = Int32Scalar("act", 0)
-stride = Int32Scalar("stride", 1)
-# output dimension:
-#     (i1.height - f1.height + 1) x (i1.width - f1.width + 1)
-output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 1.f, 0")
-
-model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride,
-                        stride, act).To(output)
-
-# Example 1. Input in operand 0,
-input0 = {
-    i1:  # input 0
-        [8, 8, 8, 8, 4, 8, 8, 8, 8]
-}
-# (i1 (conv) f1) + b1
-output0 = {
-    output:  # output 0
-        [15, 15, 15, 15]
-}
-
-# Instantiate an example
-Example((input0, output0))