/* Copyright 2016 The TensorFlow Authors. All Rights Reserved. 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. */ package tensorflow import ( "fmt" "reflect" "testing" ) func TestShape(t *testing.T) { tests := []struct { shape Shape slice []int64 full bool str string }{ { shape: ScalarShape(), slice: make([]int64, 0), full: true, str: "[]", }, { shape: MakeShape(-1, 2, -1, 4), slice: []int64{-1, 2, -1, 4}, full: false, str: "[?, 2, ?, 4]", }, { shape: MakeShape(2, 3), slice: []int64{2, 3}, full: true, str: "[2, 3]", }, } for _, test := range tests { t.Run(fmt.Sprintf("%#v", test.shape), func(t *testing.T) { if got, want := test.shape.NumDimensions(), len(test.slice); got != want { t.Errorf("Got %v, want %v", got, want) } if gotSlice, err := test.shape.ToSlice(); err != nil || !reflect.DeepEqual(gotSlice, test.slice) { t.Errorf("Got (%#v, %v), want (%#v, nil)", gotSlice, err, test.slice) } if got, want := test.shape.IsFullySpecified(), test.full; got != want { t.Errorf("Got %v, want %v", got, want) } if got, want := test.shape.String(), test.str; got != want { t.Errorf("Got %v, want %v", got, want) } }) } } func TestZeroShape(t *testing.T) { var s Shape if s.NumDimensions() != -1 { t.Error(s.NumDimensions()) } if _, err := s.ToSlice(); err == nil { t.Error("ToSlice() on a Shape of unknown number of dimensions should fail") } if s.IsFullySpecified() { t.Error("Shape of unknown number of dimensions should not be fully specified") } if got, want := s.String(), "?"; got != want { t.Errorf("Got %q, want %q", got, want) } }