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Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_quant8_2.mod.py')
| -rw-r--r-- | runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_quant8_2.mod.py | 44 |
1 files changed, 44 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_quant8_2.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_quant8_2.mod.py new file mode 100644 index 000000000..8f7ba1c43 --- /dev/null +++ b/runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_quant8_2.mod.py @@ -0,0 +1,44 @@ +# +# 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, 2, 2}, 0.5f, 127") +f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 4}, 0.5f, 127", [129, 131, 133, 135, 109, 147, 105, 151, 137, 139, 141, 143, 153, 99, 157, 95]) +b1 = Parameter("op3", "TENSOR_INT32", "{4}, 0.25f, 0", [4, 8, 12, 16]) +pad_valid = Int32Scalar("pad_valid", 2) +act_none = Int32Scalar("act_none", 0) +stride = Int32Scalar("stride", 1) +cm = Int32Scalar("channelMultiplier", 2) +output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 1, 4}, 1.f, 127") + +model = model.Operation("DEPTHWISE_CONV_2D", + i1, f1, b1, + pad_valid, + stride, stride, + cm, act_none).To(output) + +# Example 1. Input in operand 0, +input0 = {i1: # input 0 + [129, 131, 141, 143, + 133, 135, 145, 147, + 137, 139, 149, 151]} +# (i1 (depthconv) f1) +output0 = {output: # output 0 + [198, 93, 226, 107, + 218, 101, 254, 123]} + +# Instantiate an example +Example((input0, output0)) |