chore: import upstream snapshot with attribution

tensorflow/go/tensor_handle_test.go

@@ -0,0 +1,134 @@
+/*
+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)
+	}
+}