</details>

### Kodu işə salaq

Serveri aşağıdakı əmr ilə işə salaq:

<div class="termy">

```console
$ uvicorn main:app --reload

INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)

   * <p>Also checks delivery ordering in such cases.
   */
  public void testPolymorphicDistribution() {
    // Three catchers for related types String, Object, and Comparable<?>.
    // String isa Object
    // String isa Comparable<?>
    // Comparable<?> isa Object
    StringCatcher stringCatcher = new StringCatcher();

    final List<Object> objectEvents = Lists.newArrayList();
    Object objCatcher =
        new Object() {

  ForwardOperation forward_op;
  absl::Status s = Reset(check_numerics_op.get(), "CheckNumerics",
                         /*raw_device_name=*/nullptr, &forward_op);
  ASSERT_EQ(errors::OK, s.code()) << s.message();
  if (isa<TracingOperation>(check_numerics_op.get())) {
    s = dyn_cast<TracingOperation>(check_numerics_op.get())
            ->SetOpName("check_numerics");
    ASSERT_EQ(errors::OK, s.code()) << s.message();
  }

                       AbstractTensorHandle** result) {
  AbstractOperationPtr op(ctx->CreateOperation());
  TF_RETURN_IF_ERROR(op->Reset("ZerosLike", /*raw_device_name=*/nullptr));
  if (isa<tracing::TracingOperation>(op.get())) {
    TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingOperation>(op.get())->SetOpName(
        absl::StrCat("ZerosLike", ToId(t)).c_str()));
  }
  TF_RETURN_IF_ERROR(op->AddInput(t));

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

#include "../../../../../runtime/textflag.h"

TEXT asmtest(SB),DUPOK|NOSPLIT,$0
start:
	//
	// Unprivileged ISA
	//

	// 2.4: Integer Computational Instructions

	ADDI	$2047, X5				// 9382f27f
	ADDI	$-2048, X5				// 93820280
	ADDI	$2048, X5				// 9382024093820240
	ADDI	$-2049, X5				// 938202c09382f2bf

  // TODO(b/175427838): It would be nice to be able to use tensorflow::isa here.
  if (tensorflow::CustomDeviceTensorHandle::classof(unwrapped_handle)) {
    return tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>(
               unwrapped_handle)
        ->DevicePointer();
  }
  // TODO(b/175427838): It would be nice to be able to use tensorflow::isa here.
  if (!tensorflow::TensorHandle::classof(unwrapped_handle)) {

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