%0 = stablehlo.convolution(%arg0, %arg1) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f], window = {pad = [[0, 1], [1, 1]]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<1x3x4x2xf32>
    return %0 : tensor<1x3x4x2xf32>
  }
}

// CHECK-LABEL: quantize_conv_fn

        0 * spec.lineInFileLocation(_, _)
        0 * spec.lineInFileLocation(_, _, _)
        1 * spec.lineInFileLocation("SomeFile.java", 1, 1, 10)
        1 * spec.offsetInFileLocation("SomeFile.java", 10, 10)
    }

	return func(ctx context.Context, network, address string) (Conn, error) {
		a := &resolverFuncConn{
			h:       h,
			network: network,
			address: address,
			ttl:     10, // 10 second default if unset
		}
		if h.StartDial != nil {
			if err := h.StartDial(network, address); err != nil {
				return nil, err
			}
		}
		return a, nil
	}
}