1 files changed, 0 insertions, 45 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/conv_float_large.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/conv_float_large.mod.py
deleted file mode 100644
index febe12543..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_0/conv_float_large.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_FLOAT32", "{1, 2, 3, 3}")
-f1 = Parameter("op2", "TENSOR_FLOAT32", "{3, 1, 1, 3}", [1., 4., 7., 2., 5., 8., 3., 6., 9.])
-b1 = Parameter("op3", "TENSOR_FLOAT32", "{3}", [0., 0., 0.])
-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_FLOAT32", "{1, 2, 3, 3}")
-
-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
-           [  30.,   36.,   42.,
-              66.,   81.,   96.,
-              102.,  126.,  150.,
-              138.,  171.,  204.,
-              174.,  216.,  258.,
-              210.,  261.,  312.]
-          }
-
-# Instantiate an example
-Example((input0, output0))