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-rw-r--r--runtimes/tests/neural_networks_test/specs/V1_0/conv_quant8_overflow.mod.py43
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diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/conv_quant8_overflow.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/conv_quant8_overflow.mod.py
deleted file mode 100644
index 4d4c6e472..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_0/conv_quant8_overflow.mod.py
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@@ -1,43 +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.
-#
-
-model = Model()
-i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 2, 3, 3}, 0.5, 0")
-f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5, 0", [10, 40, 70, 20, 50, 80, 30, 60, 90])
-b1 = Parameter("op3", "TENSOR_INT32", "{3}, 0.25, 0", [0, 0, 0])
-pad0 = Int32Scalar("pad0", 0)
-act = Int32Scalar("act", 0)
-stride = Int32Scalar("stride", 1)
-output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 3, 3}, 1.0, 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
- [ 1, 2, 3, 4, 5, 6, 7, 8, 9,
- 10, 11, 12, 13, 14, 15, 16, 17, 18]}
-
-output0 = {output: # output 0
- [ 75, 90, 105,
- 165, 203, 240,
- 255, 255, 255,
- 255, 255, 255,
- 255, 255, 255,
- 255, 255, 255]
- }
-
-# Instantiate an example
-Example((input0, output0))