1 files changed, 0 insertions, 53 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/max_pool_float_2.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/max_pool_float_2.mod.py
deleted file mode 100644
index b65664e14..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_0/max_pool_float_2.mod.py
+++ /dev/null
@@ -1,53 +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 = Model()
-
-bat = 5
-row = 50
-col = 70
-chn = 3
-
-i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn))
-
-std = 20
-flt = 20
-pad = 0
-
-stride = Int32Scalar("stride", std)
-filt = Int32Scalar("filter", flt)
-padding = Int32Scalar("padding", pad)
-act0 = Int32Scalar("activation", 0)
-output_row = (row + 2 * pad - flt + std) // std
-output_col = (col + 2 * pad - flt + std) // std
-
-output = Output("output", "TENSOR_FLOAT32",
-                "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn))
-
-model = model.Operation(
-    "MAX_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act0).To(output)
-
-# Example 1. Input in operand 0
-input_range = bat * row * col * chn
-input_values = (lambda s = std, r = input_range: [x % s + 1 for x in range(r)])()
-input0 = {i0: input_values}
-output_range = bat * output_row * output_col * chn
-output_values = (lambda s = std, r = output_range: [ s for _ in range(r)])()
-output0 = {output: output_values}
-
-# Instantiate an example
-Example((input0, output0))