有什么方法可以抑制layer_dense()R 包的功能生成的输出keras？以下四种变体中的任何一种都会在第一次调用时导致以下输出layer_dense()，我想避免这种情况：
2020-12-25 22:52:32.777776: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2020-12-25 22:52:32.792832: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f9ca7099490 executing computations on platform Host. Devices:
2020-12-25 22:52:32.792853: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): Host, Default Version
一些试验：
library(keras)
in.lay <- layer_input(shape = 2)
capture.output(out.lay <- layer_dense(in.lay, units = 2))
q()
library(keras)
in.lay <- layer_input(shape = 2)
suppressWarnings(out.lay <- layer_dense(in.lay, units = 2))
q()
library(keras)
in.lay <- layer_input(shape = 2)
suppressMessages(out.lay <- layer_dense(in.lay, units = 2))
q()
library(keras)
in.lay <- layer_input(shape = 2)
suppressPackageStartupMessages(out.lay <- layer_dense(in.lay, units = 2))
q()
这是相关的，但上述情况似乎更难解决。