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Diffstat (limited to 'tests/nnapi/specs/V1_0/conv_quant8.mod.py')
-rw-r--r-- | tests/nnapi/specs/V1_0/conv_quant8.mod.py | 45 |
1 files changed, 45 insertions, 0 deletions
diff --git a/tests/nnapi/specs/V1_0/conv_quant8.mod.py b/tests/nnapi/specs/V1_0/conv_quant8.mod.py new file mode 100644 index 000000000..b56e0b0e4 --- /dev/null +++ b/tests/nnapi/specs/V1_0/conv_quant8.mod.py @@ -0,0 +1,45 @@ +# +# 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. + +# conv_quant8.mod.py with biases and filter being constants + +model = Model() +i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 3, 3, 1}, 0.5f, 0") +f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 0.5f, 0", + [2, 2, 2, 2]) +b1 = Parameter("op3", "TENSOR_INT32", "{1}, 0.25f, 0", [4]) +pad0 = Int32Scalar("pad0", 0) +act = Int32Scalar("act", 0) +stride = Int32Scalar("stride", 1) +# output dimension: +# (i1.height - f1.height + 1) x (i1.width - f1.width + 1) +output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 1.f, 0") + +model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, + stride, act).To(output) + +# Example 1. Input in operand 0, +input0 = { + i1: # input 0 + [8, 8, 8, 8, 4, 8, 8, 8, 8] +} +# (i1 (conv) f1) + b1 +output0 = { + output: # output 0 + [15, 15, 15, 15] +} + +# Instantiate an example +Example((input0, output0)) |