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Diffstat (limited to 'tests/nnapi/specs/V1_2/sub_v1_2_broadcast.mod.py')
-rwxr-xr-x | tests/nnapi/specs/V1_2/sub_v1_2_broadcast.mod.py | 60 |
1 files changed, 60 insertions, 0 deletions
diff --git a/tests/nnapi/specs/V1_2/sub_v1_2_broadcast.mod.py b/tests/nnapi/specs/V1_2/sub_v1_2_broadcast.mod.py new file mode 100755 index 000000000..5a755117b --- /dev/null +++ b/tests/nnapi/specs/V1_2/sub_v1_2_broadcast.mod.py @@ -0,0 +1,60 @@ +# +# 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. +# + +# FLOAT32 and FLOAT16 +input0 = Input("input0", "TENSOR_FLOAT32", "{1, 2}") +input1 = Input("input1", "TENSOR_FLOAT32", "{2, 2}") +activation = Int32Scalar("act", 0) +output0 = Output("output0", "TENSOR_FLOAT32", "{2, 2}") + +model = Model().Operation("SUB", input0, input1, activation).To(output0) + +input0_values = [10, 20] +input1_values = [0.1, 0.2, + 0.3, 0.4] +output_values = [9.9, 19.8, + 9.7, 19.6] + +Example({ + input0: input0_values, + input1: input1_values, + output0: output_values, +}).AddVariations("float16").AddAllActivations(output0, activation) + + +# QUANT8_ASYMM +input0 = Input("input0", "TENSOR_QUANT8_ASYMM", "{1, 2}, 1.0, 0") +input1 = Input("input1", "TENSOR_QUANT8_ASYMM", "{2, 2}, 1.0, 0") +activation = 0 +output0 = Output("output0", "TENSOR_QUANT8_ASYMM", "{2, 2}, 1.0, 0") + +model = Model("quant8").Operation("SUB", input0, input1, activation).To(output0) + +input0_values = [100, 200] +input1_values = [1, 2, + 3, 4] +output_values = [99, 198, + 97, 196] + +Example({ + input0: input0_values, + input1: input1_values, + output0: output_values, +}) + +# SUB of data type TENSOR_FLOAT32 is introduced in V1_1. +Example.SetVersion("V1_1", "sub_v1_2_broadcast_none", "sub_v1_2_broadcast_relu", \ + "sub_v1_2_broadcast_relu1", "sub_v1_2_broadcast_relu6") |