| # |
| # 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. |
| # |
| |
| layout = BoolScalar("layout", False) # NHWC |
| |
| # TEST 1: BATCH_TO_SPACE_NCHW_1, block_size = [2, 2] |
| i1 = Input("op1", "TENSOR_FLOAT32", "{4, 1, 1, 2}") |
| o1 = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 2}") |
| Model().Operation("BATCH_TO_SPACE_ND", i1, [2, 2], layout).To(o1) |
| |
| # Additional data type |
| quant8 = DataTypeConverter().Identify({ |
| i1: ("TENSOR_QUANT8_ASYMM", 0.1, 0), |
| o1: ("TENSOR_QUANT8_ASYMM", 0.1, 0) |
| }) |
| |
| # Instantiate an example |
| example = Example({ |
| i1: [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1], |
| o1: [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1] |
| }).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8) |
| |
| |
| # TEST 2: BATCH_TO_SPACE_NCHW_2, block_size = [2, 2] |
| i2 = Input("op1", "TENSOR_FLOAT32", "{4, 2, 2, 1}") |
| o2 = Output("op4", "TENSOR_FLOAT32", "{1, 4, 4, 1}") |
| Model().Operation("BATCH_TO_SPACE_ND", i2, [2, 2], layout).To(o2) |
| |
| # Additional data type |
| quant8 = DataTypeConverter().Identify({ |
| i2: ("TENSOR_QUANT8_ASYMM", 0.5, 128), |
| o2: ("TENSOR_QUANT8_ASYMM", 0.5, 128) |
| }) |
| |
| # Instantiate an example |
| example = Example({ |
| i2: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], |
| o2: [1, 5, 2, 6, 9, 13, 10, 14, 3, 7, 4, 8, 11, 15, 12, 16] |
| }).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8) |
