| # |
| # 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. |
| # |
| |
| import itertools |
| import collections |
| |
| Operand = collections.namedtuple( |
| "Operand", ["name", "as_input", "as_output", "data", "supports_relaxation"]) |
| |
| operands = [ |
| Operand( |
| name="float16", |
| as_input=Input("input0", "TENSOR_FLOAT16", "{2, 3}"), |
| as_output=Output("output0", "TENSOR_FLOAT16", "{2, 3}"), |
| data=[1, 2, 3, 4, 5, 6], |
| supports_relaxation=False), |
| Operand( |
| name="float32", |
| as_input=Input("input0", "TENSOR_FLOAT32", "{2, 3}"), |
| as_output=Output("output0", "TENSOR_FLOAT32", "{2, 3}"), |
| data=[1, 2, 3, 4, 5, 6], |
| supports_relaxation=True), |
| Operand( |
| name="int32", |
| as_input=Input("input0", "TENSOR_INT32", "{2, 3}"), |
| as_output=Output("output0", "TENSOR_INT32", "{2, 3}"), |
| data=[1, 2, 3, 4, 5, 6], |
| supports_relaxation=False), |
| Operand( |
| name="quant8", |
| as_input=Input("input0", "TENSOR_QUANT8_ASYMM", "{2, 3}, 4.0, 100"), |
| as_output=Output("output0", "TENSOR_QUANT8_ASYMM", "{2, 3}, 4.0, 100"), |
| data=[1, 2, 3, 4, 5, 6], |
| supports_relaxation=False), |
| ] |
| |
| for operand1, operand2 in itertools.product(operands, operands): |
| input0 = operand1.as_input |
| output0 = operand2.as_output |
| |
| model = Model().Operation("CAST", input0).To(output0) |
| |
| example = Example({ |
| input0: operand1.data, |
| output0: operand2.data, |
| }, model=model, name='{}_to_{}'.format(operand1.name, operand2.name)) |
| |
| if operand1.supports_relaxation or operand2.supports_relaxation: |
| example.AddRelaxed() |