%1 = "quantfork.dcast"(%0) : (tensor<2x3x!quant.uniform<i8:f32, 6.000000e-03>>) -> tensor<2x3xf32>

      %0 = "tf.XlaCallModule"(%arg0, %cst_0, %cst_1) <{Sout = [#tf_type.shape<1x4x4x3>], module = "", version = 9 : i64}> {_entry_function = @composite_fn_1, _original_entry_function = "composite_fn_1", _tfl_quant_trait = "fully_quantizable"} : (tensor<1x4x4x3xf32>, tensor<3x1x1x3xf32>, tensor<3xf32>) -> tensor<1x4x4x3xf32>

    %3 = "quantfork.dcast"(%2) : (tensor<2x3x!quant.uniform<i8<-127:127>:f32:1, {6.000000e-03,6.000000e-03,6.000000e-03}>>) -> tensor<2x3xf32>

					t.Skipf("skipping: CLONE_NEWUSER appears to be unsupported")
				}
				t.Fatalf("unexpected command failure; output:\n%s", out)
			}

			sout := strings.TrimSpace(string(out))
			want := "root"
			if sout != want {
				t.Fatalf("whoami = %q; want %q", out, want)
			}
		})
	}
}

func TestEmptyCredGroupsDisableSetgroups(t *testing.T) {
	cmd := whoamiNEWUSER(t, os.Getuid(), os.Getgid(), false)

Bálint Hegyi <******@****.***> 1717579777 +0100

Tom Tresansky <******@****.***> 1716909053 -0400

Tom Tresansky <******@****.***> 1713209293 -0400

    %7 = "quantfork.dcast"(%6) : (tensor<2x3x1x1024x!quant.uniform<i8:f32, 5.000000e-01:2>>) -> tensor<2x3x1x1024xf32>

  if (auto status = mlir::QuantizeAnnotatedModel(buffer->getBuffer().str(),
                                                 output_buffer);
      status != kTfLiteOk) {
    return 1;
  }

  std::cout << output_buffer << "\n";
  return 0;

  );

  let results = (outs
    TF_StrTensor:$array_key,
    TF_Tensor: $tensor_future
  );

  TF_DerivedOperandTypeListAttr Tin = TF_DerivedOperandTypeListAttr<0>;
  TF_DerivedResultTypeListAttr Tout = TF_DerivedResultTypeListAttr<0>;
}


def TF_IfrtCallOp : TF_Op<"IfrtCall", []> {
  let summary = "Invokes a program via IFRT on a device";

  let description = [{