name: Regression
description: Report a problem about something that used to work
labels: [ "a:regression", "to-triage" ]
assignees: [ ]
body:
  - type: markdown
    attributes:
      value: |
        Please use our bug report template to report problems with something that has never worked.
        Regressions reports are greatly appreciated during our RC phase and before a final release.
  - type: textarea
    id: current-behavior
    attributes:

name: Bug Report
description: Something is not working as expected
labels: ["type=defect"]
body:
  - type: markdown
    attributes:
      value: >
        Thank you for filing a bug report. Please help us identify and resolve the bug by filling
        out the following fields. Before we begin, please make sure that the bug is still present in
        the [latest](https://github.com/google/guava/releases/latest) version of Guava available.

    private List<ArtifactRepository> remoteRepositories;

    /**
     * Creates an empty repository request.
     */
    public DefaultRepositoryRequest() {
        // enables no-arg constructor
    }

    /**
     * Creates a shallow copy of the specified repository request.
     *
     * @param repositoryRequest The repository request to copy from, must not be {@code null}.
     */

	export GOARCH=$(echo $target | sed 's/.*-//')
	unset GOARM
	if [ "$GOARCH" = "arm5" ]; then
		export GOARCH=arm
		export GOARM=5
	fi

	# Build and vet everything.
	# cmd/go/internal/work/exec.go enables the same vet flags during go test of std cmd
	# and should be kept in sync with any vet flag changes here.
	if ! "$GOROOT/bin/go" build std cmd || ! "$GOROOT/bin/go" vet -unsafeptr=false std cmd; then
		failed=true

---
name: TensorFlow Lite Converter Issue
about: Use this template for reporting issues during model conversion to TFLite
labels: 'TFLiteConverter'

---

### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installation (pip package or built from source):
- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code

└── ds/                        # Data store connectors

src/main/resources/
├── fess_config.properties     # Main config
├── app.xml                    # DI configuration
├── fess_label_*.properties    # UI labels (i18n)
├── fess_message_*.properties  # Validation messages (i18n)
└── fess_indices/              # OpenSearch index mappings

src/main/webapp/WEB-INF/view/  # JSP templates
```

## DBFlute Code Generation

		Value  string
	}

	type Book struct {
		ID     int
		Name   string
		Labels []Label
	}

	DB.Migrator().DropTable(&Label{}, &Book{})
	if err := DB.AutoMigrate(&Label{}, &Book{}); err != nil {
		t.Fatalf("failed to migrate, got %v", err)
	}

	book := Book{
		Name: "my book",
		Labels: []Label{
			{Name: "region", Value: "emea"},
		},
	}

	DB.Create(&book)

    TF_DataType data_type, void* data, size_t len, TF_Status* status);

// Specify the server_def that enables collective ops.
// This is different to the above function in that it doesn't create remote
// contexts, and remotely executing ops is not possible. It just enables
// communication for collective ops.
TF_CAPI_EXPORT extern void TFE_EnableCollectiveOps(TFE_Context* ctx,

@GwtCompatible
@NullMarked
public class TreeBasedTableRowTest extends RowTests {
  public TreeBasedTableRowTest() {
    super(false, true, true, true, true);
  }

  @Override
  Table<Character, String, Integer> makeTable() {
    return TreeBasedTable.create();
  }

and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have...