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Diffstat (limited to 'tests/nnapi/specs/V1_0/conv_quant8_2.mod.py')
-rw-r--r-- | tests/nnapi/specs/V1_0/conv_quant8_2.mod.py | 45 |
1 files changed, 45 insertions, 0 deletions
diff --git a/tests/nnapi/specs/V1_0/conv_quant8_2.mod.py b/tests/nnapi/specs/V1_0/conv_quant8_2.mod.py new file mode 100644 index 000000000..0cb6a8889 --- /dev/null +++ b/tests/nnapi/specs/V1_0/conv_quant8_2.mod.py @@ -0,0 +1,45 @@ +# +# 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_QUANT8_ASYMM", "{1, 3, 6, 1}, 0.5f, 127") +f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 0.5f, 127", + [129, 131, 133, 135]) +b1 = Parameter("op3", "TENSOR_INT32", "{1}, 0.25f, 0", [-4]) +pad_valid = Int32Scalar("pad_valid", 2) +act_none = Int32Scalar("act_none", 0) +stride1 = Int32Scalar("stride1", 1) +stride3 = Int32Scalar("stride3", 3) + +output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 1.f, 127") + +model = model.Operation("CONV_2D", i1, f1, b1, pad_valid, stride3, + stride1, act_none).To(output) + +# Example 1. Input in operand 0, +input0 = { + i1: # input 0 + [133, 131, 129, 125, 123, 121, + 135, 133, 131, 123, 121, 119, + 137, 135, 133, 121, 119, 117] +} + +output0 = { + output: # output 0 + [157, 103, 167, 93] +} + +# Instantiate an example +Example((input0, output0)) |