| /* |
| Copyright 2018 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 ( |
| "reflect" |
| "strings" |
| "testing" |
| ) |
| |
| func TestNewTensorHandle(t *testing.T) { |
| vals := [][]float32{{1.0, 2.0}, {3.0, 4.0}} |
| tensor, err := NewTensor(vals) |
| if err != nil { |
| t.Fatal(err) |
| } |
| th, err := NewTensorHandle(tensor) |
| if err != nil { |
| t.Fatal(err) |
| } |
| if th == nil { |
| t.Errorf("expected non-nil tensor handle; got: %v", th) |
| } |
| } |
| |
| func TestTensorHandleDataType(t *testing.T) { |
| vals := [][]float32{{1.0, 2.0}, {3.0, 4.0}} |
| tensor, err := NewTensor(vals) |
| if err != nil { |
| t.Fatal(err) |
| } |
| th, err := NewTensorHandle(tensor) |
| if err != nil { |
| t.Fatal(err) |
| } |
| |
| if got, want := th.DataType(), Float; got != want { |
| t.Errorf("Got %v, want %v", got, want) |
| } |
| } |
| |
| func TestTensorHandleShape(t *testing.T) { |
| vals := [][]float32{{1.0, 2.0, 3.0}, {4.0, 5.0, 6.0}} |
| tensor, err := NewTensor(vals) |
| if err != nil { |
| t.Fatal(err) |
| } |
| th, err := NewTensorHandle(tensor) |
| if err != nil { |
| t.Fatal(err) |
| } |
| |
| got, err := th.Shape() |
| if err != nil { |
| t.Fatal(err) |
| } |
| if want := []int64{2, 3}; !reflect.DeepEqual(got, want) { |
| t.Errorf("Got %#v, want %#v", got, want) |
| } |
| } |
| |
| func TestTensorHandleDeviceName(t *testing.T) { |
| vals := [][]float32{{1.0, 2.0}, {3.0, 4.0}} |
| tensor, err := NewTensor(vals) |
| if err != nil { |
| t.Fatal(err) |
| } |
| th, err := NewTensorHandle(tensor) |
| if err != nil { |
| t.Fatal(err) |
| } |
| |
| d, err := th.DeviceName() |
| if err != nil { |
| t.Fatal(err) |
| } |
| if !strings.Contains(d, "CPU") { |
| t.Errorf("DeviceName() did not return a CPU device; got: %s", d) |
| } |
| } |
| |
| func TestTensorHandleBackingDeviceName(t *testing.T) { |
| vals := [][]float32{{1.0, 2.0}, {3.0, 4.0}} |
| tensor, err := NewTensor(vals) |
| if err != nil { |
| t.Fatal(err) |
| } |
| th, err := NewTensorHandle(tensor) |
| if err != nil { |
| t.Fatal(err) |
| } |
| |
| d, err := th.BackingDeviceName() |
| if err != nil { |
| t.Fatal(err) |
| } |
| if !strings.Contains(d, "CPU") { |
| t.Errorf("BackingDeviceName() did not return a CPU device; got: %s", d) |
| } |
| } |
| |
| func TestTensorHandleToTensor(t *testing.T) { |
| initialVals := [][]float32{{1.0, 2.0}, {3.0, 4.0}} |
| initialTensor, err := NewTensor(initialVals) |
| if err != nil { |
| t.Fatal(err) |
| } |
| th, err := NewTensorHandle(initialTensor) |
| if err != nil { |
| t.Fatal(err) |
| } |
| |
| tensor, err := th.ToTensor() |
| if err != nil { |
| t.Fatal(err) |
| } |
| if v := tensor.Value().([][]float32); !reflect.DeepEqual(v, initialVals) { |
| t.Errorf("Got %#v, want %#v", v, initialVals) |
| } |
| } |