1 files changed, 0 insertions, 42 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/conv_float_weights_as_inputs.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/conv_float_weights_as_inputs.mod.py
deleted file mode 100644
index fb6ebffed..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_0/conv_float_weights_as_inputs.mod.py
+++ /dev/null
@@ -1,42 +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, 3, 3, 1}")
-f1 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}")
-b1 = Input("op3", "TENSOR_FLOAT32", "{1}")
-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, 2, 1}")
-
-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
-          [1.0, 1.0, 1.0, 1.0, 0.5, 1.0, 1.0, 1.0, 1.0],
-          f1:
-          [.25, .25, .25, .25],
-          b1:
-          [0]}
-
-output0 = {output: # output 0
-           [.875, .875, .875, .875]}
-
-# Instantiate an example
-Example((input0, output0))