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// 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)
}
}
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