#include "tensorflow/c/eager/dlpack.h"

#include <vector>

#include "absl/strings/str_join.h"
#include "include/dlpack/dlpack.h"  // from @dlpack
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace {

void TestHandleFromDLPack(TF_Status* status, TFE_Context* ctx,
                          std::vector<int64_t> shape,

#ifndef TENSORFLOW_C_EAGER_DLPACK_H_
#define TENSORFLOW_C_EAGER_DLPACK_H_

#include "tensorflow/c/eager/c_api.h"

namespace tensorflow {

// PyCapsule name for DLPack Tensor
const char* const kDlTensorCapsuleName = "dltensor";

// Converts eager tensor handle to DLPack (DLManagedTensor*), and return the
// void* for further PyCapsule construction.
TF_CAPI_EXPORT extern void* TFE_HandleToDLPack(TFE_TensorHandle* h,

* <a href="{{ item.link }}" class="external-link" target="_blank">{{ item.title }}</a> by <a href="{{ item.author_link }}" class="external-link" target="_blank">{{ item.author }}</a>.

{% endfor %}
{% endfor %}
{% endfor %}

## Projects

Latest GitHub projects with the topic `fastapi`:

<div class="github-topic-projects">

* Import `Jinja2Templates`.
* Create a `templates` object that you can reuse later.
* Declare a `Request` parameter in the *path operation* that will return a template.
* Use the `templates` you created to render and return a `TemplateResponse`, pass the name of the template, the request object, and a "context" dictionary with key-value pairs to be used inside of the Jinja2 template.

```Python hl_lines="4  11  15-18"

    Read more about it in the
    [FastAPI docs for Custom Response - HTML, Stream, File, others](https://fastapi.tiangolo.com/advanced/custom-response/).
    """

    def render(self, content: Any) -> bytes:
        assert ujson is not None, "ujson must be installed to use UJSONResponse"
        return ujson.dumps(content, ensure_ascii=False).encode("utf-8")


class ORJSONResponse(JSONResponse):

		t.Fatalf("no error should happen when migrate scanner, valuer struct, got error %v", err)
	}

	data := ScannerValuerStruct{
		Name:     sql.NullString{String: "name", Valid: true},
		Gender:   &sql.NullString{String: "M", Valid: true},
		Age:      sql.NullInt64{Int64: 18, Valid: true},
		Male:     sql.NullBool{Bool: true, Valid: true},
		Height:   sql.NullFloat64{Float64: 1.8888, Valid: true},

                                                   size_t* len);

// On success, dequeues a tensor from a TF-managed FifoQueue given by
// `tensor_id`, associated with `session`. There must be a graph node named
// "fifo_queue_dequeue_<tensor_id>", to be executed by this API call.

// Caller must call TF_DeleteTensor() over the returned tensor. If the queue is
// empty, this call is blocked.
//

*  `tf.Tensor`

		diag.Info:    "",           // no special color for info messages
		diag.Warning: "\033[33m",   // yellow
		diag.Error:   "\033[1;31m", // bold red
	}
)

// render turns a Message instance into a string with an option of colored bash output
func render(m diag.Message, colorize bool) string {
	return fmt.Sprintf("%s%v%s [%v]%s %s",
		colorPrefix(m, colorize), m.Type.Level(), colorSuffix(colorize),

    }

    public void addMessage(String message) {
        messages.add(message);
    }

    public String toString() {
        return render("");
    }

    public String render(String indentation) {
        if (messages.size() == 0) {
            return indentation + "There were no validation errors.";
        }

        StringBuilder message = new StringBuilder();