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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 (
"bytes"
"fmt"
"testing"
)
func hasOperations(g *Graph, ops ...string) error {
var missing []string
for _, op := range ops {
if g.Operation(op) == nil {
missing = append(missing, op)
}
}
if len(missing) == 0 {
return nil
}
return fmt.Errorf("Graph does not have the operations %v", missing)
}
func TestGraphWriteToAndImport(t *testing.T) {
// Construct a graph
g := NewGraph()
v, err := NewTensor(int64(1))
if err != nil {
t.Fatal(err)
}
input, err := Placeholder(g, "input", v.DataType())
if err != nil {
t.Fatal(err)
}
if _, err := Neg(g, "neg", input); err != nil {
t.Fatal(err)
}
// Serialize the graph
buf := new(bytes.Buffer)
if _, err := g.WriteTo(buf); err != nil {
t.Fatal(err)
}
// Import it into the same graph, with a prefix
if err := g.Import(buf.Bytes(), "imported"); err != nil {
t.Error(err)
}
if err := hasOperations(g, "input", "neg", "imported/input", "imported/neg"); err != nil {
t.Error(err)
}
}
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