}

		switch p.As {
		case AGet:
			if p.From.Type == obj.TYPE_ADDR {
				get := *p
				p.As = obj.ANOP

				switch get.From.Name {
				case obj.NAME_EXTERN:
					p = appendp(p, AI64Const, get.From)
				case obj.NAME_AUTO, obj.NAME_PARAM:
					p = appendp(p, AGet, regAddr(get.From.Reg))
					if get.From.Reg == REG_SP {
						p = appendp(p, AI64ExtendI32U)
					}

// RUN: tac-opt-all-backends -tfl-get-alternative-subgraph='device-specs=GPU' %s -split-input-file -verify-diagnostics | FileCheck %s

module {
  func.func @simpleTest(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>, %arg2: tensor<1xf32>, %arg3: tensor<1xf32>) -> tensor<2x1xf32> {
    %0 = func.call @func_0_GPU_FLOAT(%arg0, %arg1, %arg2) {tac.interface_name = "func_0"} : (tensor<1xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>

Sho Nakamura <******@****.***> 1706466995 +0900

LeeeeT <******@****.***> 1680341164 +0300

import com.google.gwt.junit.client.GWTTestCase;
import com.google.gwt.junit.tools.GWTTestSuite;

import junit.framework.Test;
import junit.framework.TestCase;

import java.io.IOException;

/**
 * Runs all _gwt tests. Grouping them into a suite is much faster than running each as a one-test
 * "suite," as the per-suite setup is expensive.
 */
public class GwtTestSuite extends TestCase {
  public static Test suite() throws IOException {

jaystone776 <******@****.***> 1711838806 +0800

// RUN: tf-opt -split-input-file -verify-diagnostics -tfl-get-arithmetic-count %s | FileCheck %s

func.func @testConv2D(tensor<256x32x32x3xf32>, tensor<16x3x3x3xf32>, tensor<16xf32>) -> tensor<256x32x32x16xf32> {
^bb0(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<16x3x3x3xf32>, %arg2: tensor<16xf32>):
  // CHECK: _arithmetic_count = 230686720 : i64

// RUN: tac-opt-all-backends -tfl-get-op-cost %s -split-input-file -verify-diagnostics | FileCheck %s

func.func @func_0_CPU(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<256x32x32x3xf32>) -> tensor<256x32x32x3xf32> attributes {tac.device = "CPU", tac.interface_name = "func_0"} {
  // CHECK: tac.cost = 7.864320e+05
  %0 = "tfl.add"(%arg0, %arg1) {fused_activation_function = "RELU", tac.device = "CPU"} : (tensor<256x32x32x3xf32>, tensor<256x32x32x3xf32>) -> tensor<256x32x32x3xf32>

Nils Lindemann <******@****.***> 1713469999 +0200

    Here **FastAPI** won't get confused because you are using `Depends`.

!!! check
    The way this dependency system is designed allows us to have different dependencies (different "dependables") that all return a `User` model.

    We are not restricted to having only one dependency that can return that type of data.

## Other models