HSPLokhttp3/internal/http2/Hpack$Writer;-><init>(IZLokio/Buffer;I)V
HSPLokhttp3/internal/http2/Hpack$Writer;->evictToRecoverBytes(I)I
HSPLokhttp3/internal/http2/Hpack$Writer;->insertIntoDynamicTable(Lokhttp3/internal/http2/Header;)V
HSPLokhttp3/internal/http2/Hpack$Writer;->writeByteString(Lokio/ByteString;)V
HSPLokhttp3/internal/http2/Hpack$Writer;->writeHeaders(Ljava/util/List;)V
HSPLokhttp3/internal/http2/Hpack$Writer;->writeInt(III)V

		t.Tag.goString(indent+2, "Tag: "))
}

// PackExpansion is a pack expansion.  The Pack field may be nil.
type PackExpansion struct {
	Base AST
	Pack *ArgumentPack
}

func (pe *PackExpansion) print(ps *printState) {
	// We normally only get here if the simplify function was
	// unable to locate and expand the pack.
	if pe.Pack == nil {
		if ps.llvmStyle {
			ps.print(pe.Base)
		} else {

  // Fold pack operation if it computes the input tensor shape:
  //
  //   %shape  = tf.Shape(%arg)                    // [? x ...]
  //   %dim0   = tf.StridedSlice(%shape, 0, 1, 1)  // get unknown dim0 value
  //   %pack   = tf.Pack(dim0, ...) { axis = 0 }   // [? x ...]
  //
  // Where `...` are some statically known dimensions. In this case %pack can be

  // CHECK: "tfl.pack"(%arg0, %arg1) <{axis = 0 : i32, values_count = 2 : i32}>
  %0 = "tfl.pack"(%arg0, %arg1) {axis = 0 : i32, values_count = 2 : i32} : (tensor<2x!quant.uniform<i8:f32, 0.1>>, tensor<2x!quant.uniform<i8:f32, 0.1>>) -> tensor<2x2x!quant.uniform<i8:f32, 0.1>>
  func.return %0 : tensor<2x2x!quant.uniform<i8:f32, 0.1>>
}

// -----

OpFoldResult PackOp::fold(FoldAdaptor) {
  // Fold pack operation if it computes the input tensor shape:
  //
  //   %shape  = tf.Shape(%arg)                    // [? x ...]
  //   %dim0   = tf.StridedSlice(%shape, 0, 1, 1)  // get unknown dim0 value
  //   %pack   = tf.Pack(dim0, ...) { axis = 0 }   // [? x ...]
  //
  // Where `...` are some statically known dimensions. In this case %pack can be

		var immh, width uint8
		switch pack(Q, af, at) {
		case pack(0, ARNG_8B, ARNG_8H):
			immh, width = 1, 8
		case pack(1, ARNG_16B, ARNG_8H):
			immh, width = 1, 8
		case pack(0, ARNG_4H, ARNG_4S):
			immh, width = 2, 16
		case pack(1, ARNG_8H, ARNG_4S):
			immh, width = 2, 16
		case pack(0, ARNG_2S, ARNG_2D):
			immh, width = 4, 32
		case pack(1, ARNG_4S, ARNG_2D):
			immh, width = 4, 32

// PackOp
//===----------------------------------------------------------------------===//

// Remove redundant unpack pack op.
// If a unpack op is followed by a pack op, we can remove the pack op, if the
// unpack op is only consumed by the pack op, it will be removed as well.
// An example illustration is:
//                  Unpack [5, 8, 9], axis = 1
//                /       \

  // CHECK:  return
}

func.func @pack2Tensors(%arg0: tensor<2xi32>, %arg1: tensor<2xi32>) -> tensor<2x2xi32> {
  %0 = "tf.Pack"(%arg0, %arg1) : (tensor<2xi32>, tensor<2xi32>) -> tensor<2x2xi32>
  func.return %0 : tensor<2x2xi32>

// CHECK-LABEL: pack2Tensors
// CHECK: "tfl.pack"(%arg0, %arg1) <{axis = 0 : i32, values_count = 2 : i32}> : (tensor<2xi32>, tensor<2xi32>) -> tensor<2x2xi32>
}

	}

	// Pack into archive in objdir directory.
	// If the Go compiler wrote an archive, we only need to add the
	// object files for non-Go sources to the archive.
	// If the Go compiler wrote an archive and the package is entirely
	// Go sources, there is no pack to execute at all.
	if len(objects) > 0 {
		if err := BuildToolchain.pack(b, a, objpkg, objects); err != nil {
			return err
		}

    Etc.

    For example:

    ```
    # 'x' is [1, 4]
    # 'y' is [2, 5]
    # 'z' is [3, 6]
    pack([x, y, z]) => [[1, 4], [2, 5], [3, 6]]  # Pack along first dim.
    pack([x, y, z], axis=1) => [[1, 2, 3], [4, 5, 6]]
    ```

    This is the opposite of `unpack`.
  }];

  let arguments = (ins