1 files changed, 0 insertions, 45 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_quant8_weights_as_inputs.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_quant8_weights_as_inputs.mod.py
deleted file mode 100644
index f0478f884..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_quant8_weights_as_inputs.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.
-#
-
-model = Model()
-i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 2}, 0.5f, 0")
-f1 = Input("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 2}, 0.5f, 0")
-b1 = Input("op3", "TENSOR_INT32", "{2}, 0.25f, 0")
-pad0 = Int32Scalar("pad0", 0)
-act = Int32Scalar("act", 0)
-stride = Int32Scalar("stride", 1)
-cm = Int32Scalar("channelMultiplier", 1)
-output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1,1,1,2}, 1.f, 0")
-
-model = model.Operation("DEPTHWISE_CONV_2D",
-                        i1, f1, b1,
-                        pad0, pad0, pad0, pad0,
-                        stride, stride,
-                        cm, act).To(output)
-
-# Example 1. Input in operand 0,
-input0 = {i1: # input 0
-          [4, 16, 4, 32, 4, 64, 4, 128],
-          f1:
-          [2, 4,  2, 0,  2, 2,  2, 0],
-          b1:
-          [0, 0]}
-# (i1 (depthconv) f1)
-output0 = {output: # output 0
-           [8, 48]}
-
-# Instantiate an example
-Example((input0, output0))