Home | History | Annotate | Download | only in V1_2
      1 #
      2 # Copyright (C) 2018 The Android Open Source Project
      3 #
      4 # Licensed under the Apache License, Version 2.0 (the "License");
      5 # you may not use this file except in compliance with the License.
      6 # You may obtain a copy of the License at
      7 #
      8 #      http://www.apache.org/licenses/LICENSE-2.0
      9 #
     10 # Unless required by applicable law or agreed to in writing, software
     11 # distributed under the License is distributed on an "AS IS" BASIS,
     12 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     13 # See the License for the specific language governing permissions and
     14 # limitations under the License.
     15 #
     16 
     17 def test(input0, output0, axes, keep_dims, input_data, output_data):
     18   model = Model().Operation("REDUCE_ALL", input0, axes, keep_dims).To(output0)
     19   Example({
     20       input0: input_data,
     21       output0: output_data,
     22   }, model=model)
     23 
     24 test(
     25     input0=Input("input0", "TENSOR_BOOL8", "{1}"),
     26     input_data=[False],
     27     axes=[0],
     28     keep_dims=True,
     29     output0=Output("output0", "TENSOR_BOOL8", "{1}"),
     30     output_data=[False],
     31 )
     32 
     33 test(
     34     input0=Input("input0", "TENSOR_BOOL8", "{2, 3, 2}"),
     35     input_data=[True, True, True, True, True, False,
     36                 True, True, True, True, True, True],
     37     axes=[1, 0, -3, -3],
     38     keep_dims=False,
     39     output0=Output("output0", "TENSOR_BOOL8", "{2}"),
     40     output_data=[True, False],
     41 )
     42 
     43 test(
     44     input0=Input("input0", "TENSOR_BOOL8", "{2, 3, 2}"),
     45     input_data=[True, True, True, True, True, True,
     46                 True, True, False, True, True, True],
     47     axes=[0, 2],
     48     keep_dims=True,
     49     output0=Output("output0", "TENSOR_BOOL8", "{1, 3, 1}"),
     50     output_data=[True, False, True],
     51 )
     52