blob: e78f5170155e3ea5471eb7ee608cb08803a19a51 [file] [log] [blame]
#
# 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("input", "TENSOR_FLOAT32", "{4, 3, 2}")
axis = Parameter("axis", "TENSOR_INT32", "{4}", [1, 0, -3, -3])
keepDims = Int32Scalar("keepDims", 0)
output = Output("output", "TENSOR_FLOAT32", "{2}")
model = model.Operation("MEAN", i1, axis, keepDims).To(output)
model = model.RelaxedExecution(True)
# Example 1. Input in operand 0,
input0 = {i1: # input 0
[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0,
13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0]}
output0 = {output: # output 0
[12.0, 13.0]}
# Instantiate an example
Example((input0, output0))