// create another op called RELU1.
  RELU_N1_TO_1 = 20,
  RELU6 = 21,
  RESHAPE = 22,
  RESIZE_BILINEAR = 23,
  RNN = 24,
  SOFTMAX = 25,
  SPACE_TO_DEPTH = 26,
  SVDF = 27,
  TANH = 28,
  CONCAT_EMBEDDINGS = 29,
  SKIP_GRAM = 30,
  CALL = 31,
  CUSTOM = 32,
  EMBEDDING_LOOKUP_SPARSE = 33,
  PAD = 34,
  UNIDIRECTIONAL_SEQUENCE_RNN = 35,
  GATHER = 36,
  BATCH_TO_SPACE_ND = 37,

     cell_clip = 1.000000e+01 : f32, fused_activation_function = "TANH", kernel_type = #tfl<lstm_kernel_type_attr FULL>, proj_clip = 0.01 : f32

![trình soạn thảo hỗ trợ](https://fastapi.tiangolo.com/img/vscode-completion.png)

Ví dụ hoàn chỉnh bao gồm nhiều tính năng hơn, xem <a href="https://fastapi.tiangolo.com/tutorial/">Tutorial - User Guide</a>.


**Cảnh báo tiết lỗ**: Tutorial - User Guide:

* Định nghĩa **tham số** từ các nguồn khác nhau như: **headers**, **cookies**, **form fields** và **files**.

      .Case("RELU", tflite::ActivationFunctionType_RELU)
      .Case("RELU_N1_TO_1", tflite::ActivationFunctionType_RELU_N1_TO_1)
      .Case("RELU6", tflite::ActivationFunctionType_RELU6)
      .Case("TANH", tflite::ActivationFunctionType_TANH)
      .Case("SIGN_BIT", tflite::ActivationFunctionType_SIGN_BIT);
}

static tflite::TensorType ConvertDerivedTFLiteTypeAttrForOptionWriter(

func.func private @gelu_decomp_2(%arg0: tensor<5x10xf32>) -> tensor<5x10xf32>
func.func @gelu_aten_approximate(%arg0: tensor<5x10xf32>) -> (tensor<*xf32>) {
  %0 = mhlo.composite "aten.gelu.default" %arg0 {composite_attributes = {approximate = "tanh"}, decomposition = @gelu_decomp_2} : (tensor<5x10xf32>) -> tensor<5x10xf32>
  %1 = "tf.Identity"(%0) {device = ""} : (tensor<5x10xf32>) -> tensor<*xf32>
  %2 = "tf.Identity"(%1) {device = ""} : (tensor<*xf32>) -> tensor<*xf32>

      %cst_7, %cst_7, %cst_7,
      %cst_7, %cst_7, %cst_7, %cst_7,
      %cst_3, %cst_2,
      %recurrent_stats, %cell_stats,
      %cst_2, %cst_2, %cst_2, %cst_2) {cell_clip = 1.000000e+01 : f32, fused_activation_function = "TANH", proj_clip = 0.000000e+00 : f32, time_major = false}
    : ( tensor<1x28x28xf32>,
        tensor<20x20xf32>, tensor<20x20xf32>, tensor<20x20xf32>, tensor<20x20xf32>,