makePod(v1.ResourceList{
			v1.ResourceName(res1.resourceName): res1.resourceQuantity,
			v1.ResourceName("cpu"):             res1.resourceQuantity,
			v1.ResourceName(res2.resourceName): res2.resourceQuantity}),
		makePod(v1.ResourceList{
			v1.ResourceName(res1.resourceName): res2.resourceQuantity}),
		makePod(v1.ResourceList{
			v1.ResourceName(res2.resourceName): res2.resourceQuantity}),
	}
	testCases := []struct {

// CHECK-DAG: %[[RES0:.*]] = "tfl.pseudo_const"() <{value = dense<{{.*}}> : tensor<1x4xf32>}> {tfl.is_variable} : () -> tensor<1x4xf32>
// CHECK-DAG: %[[RES1:.*]] = "tfl.pseudo_const"() <{value = dense<{{.*}}> : tensor<1x4xf32>}> {tfl.is_variable} : () -> tensor<1x4xf32>

  // CHECK: %[[RES1:.*]] = "tfl.batch_matmul"(%[[RES0]], %arg2) <{adj_x = false, adj_y = false, asymmetric_quantize_inputs = false}> : (tensor<8x4xf32>, tensor<4x256xf32>) -> tensor<8x256xf32>

  %res1 = "tf.DivNoNan"(%arg0, %con1) {device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<2xf32>, tensor<2xf32>) -> tensor<2xf32>
  %res2 = "tf.MulNoNan"(%arg0, %con2) {} : (tensor<2xf32>, tensor<2xf32>) -> tensor<2xf32>
  %res3 = "tf.DivNoNan"(%arg0, %con3) {}: (tensor<2xf32>, tensor<2xf32>) -> tensor<2xf32>
  func.return %res1, %res2, %res3 : tensor<2xf32>, tensor<2xf32>, tensor<2xf32>
}

func (tt h12Compare) normalizeRes(t *testing.T, res *Response, wantProto string) {
	if res.Proto == wantProto || res.Proto == "HTTP/IGNORE" {
		res.Proto, res.ProtoMajor, res.ProtoMinor = "", 0, 0
	} else {
		t.Errorf("got %q response; want %q", res.Proto, wantProto)
	}
	slurp, err := io.ReadAll(res.Body)

	res.Body.Close()
	res.Body = slurpResult{
		ReadCloser: io.NopCloser(bytes.NewReader(slurp)),

	if res1 != res2 {
		t.Errorf("got %s (%p) != %s (%p)", res1, res2, res1, res2)
	}
}

// This tests that uses of existing vars on the LHS of an assignment
// are Uses, not Defs; and also that the (illegal) use of a non-var on
// the LHS of an assignment is a Use nonetheless.
func TestIssue7827(t *testing.T) {
	const src = `
package p
func _() {
	const w = 1        // defs w

		msect.name = "__symbol_stub1"
		msect.flag = S_ATTR_PURE_INSTRUCTIONS | S_ATTR_SOME_INSTRUCTIONS | S_SYMBOL_STUBS
		msect.res1 = 0 //nkind[SymKindLocal];
		msect.res2 = 6
	}

	if sect.Name == ".got" {
		msect.name = "__nl_symbol_ptr"
		msect.flag = S_NON_LAZY_SYMBOL_POINTERS
		msect.res1 = uint32(ctxt.loader.SymSize(ctxt.ArchSyms.LinkEditPLT) / 4) /* offset into indirect symbol table */
	}

	res2 := defs[m.Type.ResultList[0].Name].(*Var)

	if res1 != res2 {
		t.Errorf("got %s (%p) != %s (%p)", res1, res2, res1, res2)
	}
}

// This tests that uses of existing vars on the LHS of an assignment
// are Uses, not Defs; and also that the (illegal) use of a non-var on
// the LHS of an assignment is a Use nonetheless.
func TestIssue7827(t *testing.T) {
	const src = `
package p
func _() {

}

// CHECK-SKIP-CPU:   %[[RES0:.*]] = call @func_0_GPU_FLOAT(%arg0) {tac.device = "GPU", tac.inference_type = "FLOAT", tac.interface_name = "func_0"} : (tensor<1xf32>) -> tensor<1xf32>
// CHECK-SKIP-CPU:   %[[RES1:.*]] = tfl.add %arg0, %[[RES0]] {fused_activation_function = "RELU6", tac.device = "CPU", tac.inference_type = "FLOAT"} : tensor<1xf32>
// CHECK-SKIP-CPU:   return %[[RES0]], %[[RES1]] : tensor<1xf32>, tensor<1xf32>
// CHECK-SKIP-CPU: }

	dec := NewDecoder(StdEncoding, strings.NewReader(encoded))
	res1, err := io.ReadAll(dec)
	if err != nil {
		t.Errorf("ReadAll failed: %v", err)
	}

	dec = NewDecoder(StdEncoding, strings.NewReader(encodedShort))
	var res2 []byte
	res2, err = io.ReadAll(dec)
	if err != nil {
		t.Errorf("ReadAll failed: %v", err)
	}

	if !bytes.Equal(res1, res2) {
		t.Error("Decoded results not equal")
	}
}