ArrayAttr window_strides, StringRef padding, Builder *builder) {
  if (padding == "VALID") return {};
  assert(padding == "SAME");
  PaddingArray paddings = GetReduceWindowPaddingAsArray<num_dims>(
      input_dims, window_dims, window_strides, padding, builder);
  int64_t rank = paddings.size();
  llvm::SmallVector<int64_t, num_dims * 2> flatten_paddings(rank * 2);

margin-remove-right\@xl{margin-right:0!important}}.uk-padding{padding:30px}@media (min-width:1200px){.uk-padding{padding:40px}}.uk-padding-small{padding:15px}.uk-padding-large{padding:30px}@media (min-width:1200px){.uk-padding-large{padding:70px}}.uk-padding-remove{padding:0!important}.uk-padding-remove-top{padding-top:0!important}.uk-padding-remove-bottom{padding-bottom:0!important}.uk-padding-remove-left{padding-left:0!important}.uk-padding-remove-right{padding-right:0!important}.uk-padding-re...

// CHECK:           %[[VAL_10:.*]] = "tf.Conv2D"(%[[VAL_5]], %[[VAL_9]]) <{data_format = "NHWC", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "VALID", strides = [1, 1, 1, 1], use_cudnn_on_gpu = true}> : (tensor<16x32x1x256xbf16>, tensor<1x1x256x256xbf16>) -> tensor<16x32x1x256xbf16>

  %padding = "tf.Const"() { value = dense<[[1, 2]]> : tensor<1x2xi64> } : () -> tensor<1x2xi64>
  // CHECK: "mhlo.pad"(%arg0, %arg1) <{
  // CHECK-SAME: edge_padding_high = dense<2> : tensor<1xi64>,
  // CHECK-SAME: edge_padding_low = dense<1> : tensor<1xi64>,
  // CHECK-SAME: interior_padding = dense<0> : tensor<1xi64>

  %1 = "tfl.relu"(%0) : (tensor<1x73x73x16xf32>) -> tensor<1x73x73x16xf32>
  func.return %1 : tensor<1x73x73x16xf32>

le-down":{"object-fit":"scale-down"}})},objectPosition:P("objectPosition",[["object",["object-position"]]]),padding:P("padding",[["p",["padding"]],[["px",["padding-left","padding-right"]],["py",["padding-top","padding-bottom"]]],[["ps",["padding-inline-start"]],["pe",["padding-inline-end"]],["pt",["padding-top"]],["pr",["padding-right"]],["pb",["padding-bottom"]],["pl",["padding-left"]]]]),textAlign:({addUtilities:i})=>{i({".text-left":{"text-align":"left"},".text-center":{"text-align":"center"}...

	data []byte
}

func (f *http2DataFrame) StreamEnded() bool {
	return f.http2FrameHeader.Flags.Has(http2FlagDataEndStream)
}

// Data returns the frame's data octets, not including any padding
// size byte or padding suffix bytes.
// The caller must not retain the returned memory past the next
// call to ReadFrame.
func (f *http2DataFrame) Data() []byte {
	f.checkValid()
	return f.data
}

pkg syscall (netbsd-arm64-cgo), type BpfStat struct, Capt uint64
pkg syscall (netbsd-arm64-cgo), type BpfStat struct, Drop uint64
pkg syscall (netbsd-arm64-cgo), type BpfStat struct, Padding [13]uint64
pkg syscall (netbsd-arm64-cgo), type BpfStat struct, Recv uint64
pkg syscall (netbsd-arm64-cgo), type BpfTimeval struct
pkg syscall (netbsd-arm64-cgo), type BpfTimeval struct, Sec int64

Tag           = string_lit .
</pre>

<pre>
// An empty struct.
struct {}

// A struct with 6 fields.
struct {
	x, y int
	u float32
	_ float32  // padding
	A *[]int
	F func()
}
</pre>

<p>
A field declared with a type but no explicit field name is called an <i>embedded field</i>.
An embedded field must be specified as