| # |
| # Copyright (C) 2019 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. |
| # |
| |
| # This test makes sure that executing STRIDED_SLICE results in a failure when |
| # the output dimensions do not match shrinkAxisMask. |
| # |
| # The test generator does not support generating tests resulting in execution |
| # failure, so the gTest part of this test has been written by hand. |
| # TODO(b/132155416): Move this under frameworks/ml/nn/runtime/test/specs/V1_2. |
| # |
| # Based on strided_slice_float_11.mod.py. |
| |
| model = Model() |
| i1 = Input("input", "TENSOR_FLOAT32", "{2, 3}") |
| begins = Parameter("begins", "TENSOR_INT32", "{2}", [0, 0]) |
| # The value "2" below makes the test invalid. See http://b/79856511#comment2. |
| ends = Parameter("ends", "TENSOR_INT32", "{2}", [2, 3]) |
| strides = Parameter("strides", "TENSOR_INT32", "{2}", [1, 1]) |
| beginMask = Int32Scalar("beginMask", 0) |
| endMask = Int32Scalar("endMask", 0) |
| shrinkAxisMask = Int32Scalar("shrinkAxisMask", 1) |
| |
| output = Output("output", "TENSOR_FLOAT32", "{3}") |
| |
| model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output) |
| |
| Example({ |
| i1: [1, 2, 3, 4, 5, 6], |
| output: [1, 2, 3], |
| }) |
