1 files changed, 0 insertions, 44 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_float_large.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_float_large.mod.py
deleted file mode 100644
index 9e8b297fd..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_float_large.mod.py
+++ /dev/null
@@ -1,44 +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_FLOAT32", "{1, 2, 2, 2}") # depth_in = 2
-f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 2}", [.25, 0, .25, 1, .25, 0, .25, 1]) # depth_out = 2
-b1 = Parameter("op3", "TENSOR_FLOAT32", "{2}", [100, 200]) # depth_out = 2
-pad0 = Int32Scalar("pad0", 0)
-act = Int32Scalar("act", 0)
-stride = Int32Scalar("stride", 1)
-cm = Int32Scalar("channelMultiplier", 1)
-output = Output("op4", "TENSOR_FLOAT32", "{1, 1, 1, 2}")
-
-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
-     10, 21, 10, 22,
-     10, 23, 10, 24],
-  }
-# (i1 (conv) f1) + b1
-output0 = {output: # output 0
-           [110, 246]}
-
-# Instantiate an example
-Example((input0, output0))