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-rw-r--r--runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_float_2.mod.py44
1 files changed, 0 insertions, 44 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_float_2.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_float_2.mod.py
deleted file mode 100644
index 59e392d58..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_float_2.mod.py
+++ /dev/null
@@ -1,44 +0,0 @@
-#
-# Copyright (C) 2018 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, 2, 2}")
-f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}", [1, 2, 3, 4, -9, 10, -11, 12, 5, 6, 7, 8, 13, -14, 15, -16])
-b1 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [1, 2, 3, 4])
-pad_valid = Int32Scalar("pad_valid", 2)
-act_none = Int32Scalar("act_none", 0)
-stride = Int32Scalar("stride", 1)
-cm = Int32Scalar("channelMultiplier", 2)
-output = Output("op4", "TENSOR_FLOAT32", "{1, 2, 1, 4}")
-
-model = model.Operation("DEPTHWISE_CONV_2D",
- i1, f1, b1,
- pad_valid,
- stride, stride,
- cm, act_none).To(output)
-
-# Example 1. Input in operand 0,
-input0 = {i1: # input 0
- [1, 2, 7, 8,
- 3, 4, 9, 10,
- 5, 6, 11, 12]}
-# (i1 (depthconv) f1)
-output0 = {output: # output 0
- [71, -34, 99, -20,
- 91, -26, 127, -4]}
-
-# Instantiate an example
-Example((input0, output0))