| # |
| # 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. |
| |
| # TEST 1: Same scales, zeroPoint = 0 |
| i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 2}, 0.5f, 0") |
| f1 = Parameter("op2", "TENSOR_QUANT8_SYMM_PER_CHANNEL", "{1, 2, 2, 2}", |
| [2, 4, 2, 0, 2, 2, 2, 0], |
| extraParams = SymmPerChannelQuantParams(channelDim=3, scales=[0.5, 0.5])) |
| b1 = Parameter("op3", "TENSOR_INT32", "{2}", [0, 0]) |
| o1 = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 1, 1, 2}, 1.f, 0") |
| Model("same").Operation("DEPTHWISE_CONV_2D", i1, f1, b1, 0, 0, 0, 0, 1, 1, 1, 0).To(o1) |
| |
| # Instantiate an example |
| Example({ |
| i1: [4, 16, 4, 32, 4, 64, 4, 128], |
| o1: [8, 48], |
| }).AddInput(f1, b1) |
| |
| |
| # TEST 2: Different scales, zeroPoint=128 |
| i2 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 3, 3, 2}, 0.5f, 128") |
| f2 = Parameter("op2", "TENSOR_QUANT8_SYMM_PER_CHANNEL", "{1, 2, 2, 4}", |
| [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], |
| extraParams = SymmPerChannelQuantParams(channelDim=3, scales=[1.0, 0.5, 1.0, 0.5])) |
| b2 = Parameter("op3", "TENSOR_INT32", "{4}", [4, 4, 4, 4]) |
| o2 = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 4}, 1.f, 128") |
| Model("different").Operation("DEPTHWISE_CONV_2D", i2, f2, b2, 0, 0, 0, 0, 1, 1, 2, 0).To(o2) |
| |
| # Instantiate an example |
| Example({ |
| i2: [129, 130] * 9, |
| o2: [132, 130, 134, 131, 132, 130, 134, 131, |
| 132, 130, 134, 131, 132, 130, 134, 131], |
| }).AddInput(f2, b2) |
| |
| |
| layout = BoolScalar("layout", False) # NHWC |
| |
| # TEST 3: With layout param |
| i3 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 3, 3, 2}, 0.5f, 128") |
| f3 = Parameter("op2", "TENSOR_QUANT8_SYMM_PER_CHANNEL", "{1, 2, 2, 4}", |
| [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], |
| extraParams = SymmPerChannelQuantParams(channelDim=3, scales=[1.0, 0.5, 1.0, 0.5])) |
| b3 = Parameter("op3", "TENSOR_INT32", "{4}", [4, 4, 4, 4]) |
| o3 = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 4}, 1.f, 128") |
| Model("layout").Operation("DEPTHWISE_CONV_2D", i3, f3, b3, 0, 0, 0, 0, 1, 1, 2, 0, layout).To(o3) |
| |
| # Instantiate an example |
| Example({ |
| i3: [129, 130] * 9, |
| o3: [132, 130, 134, 131, 132, 130, 134, 131, |
| 132, 130, 134, 131, 132, 130, 134, 131], |
| }).AddNchw(i3, o3, layout).AddInput(f3, b3) |