%178 = "tf.Pack"(%7, %177) {axis = 0 : i64, device = ""} : (tensor<i32>, tensor<i32>) -> tensor<2xi32>
  %179 = "tf.Tile"(%115, %178) {device = ""} : (tensor<?x1xi64>, tensor<2xi32>) -> tensor<?x?xi64>
  %180 = "tf.Mul"(%177, %118) {device = ""} : (tensor<i32>, tensor<i32>) -> tensor<i32>
  %181 = "tf.Pack"(%180) {axis = 0 : i64, device = ""} : (tensor<i32>) -> tensor<1xi32>

	// missing, however. Use the MetaHeadersFrame.Pseudo accessor
	// method access pseudo headers.
	Fields []hpack.HeaderField

	// Truncated is whether the max header list size limit was hit
	// and Fields is incomplete. The hpack decoder state is still
	// valid, however.
	Truncated bool
}

// PseudoValue returns the given pseudo header field's value.

		[6]*argField{ap_VecReg_6_10, ap_VecReg_11_15, ap_VecReg_16_20}},
	{VPKSHSS, 0xfc0007ff00000000, 0x1000018e00000000, 0x0, // Vector Pack Signed Halfword Signed Saturate VX-form (vpkshss VRT,VRA,VRB)
		[6]*argField{ap_VecReg_6_10, ap_VecReg_11_15, ap_VecReg_16_20}},

  func.return
}

//===----------------------------------------------------------------------===//
// Pack op legalizations.
//===----------------------------------------------------------------------===//

// -----

// CHECK-LABEL: func @pack
func.func @pack(%arg0: tensor<2xi32>, %arg1: tensor<2xi32>) -> tensor<2x2xi32> {
  // CHECK: mhlo.reshape {{.*}} : (tensor<2xi32>) -> tensor<1x2xi32>

                         input_shape_attr.getValues<int32_t>().end());
    } else {
      auto pack = op.getInputSizes().template getDefiningOp<TF::PackOp>();
      if (!pack || pack.getAxis() != 0) return failure();
      auto pack_ty = mlir::dyn_cast<RankedTensorType>(pack.getType());
      if (!pack_ty || pack_ty.getRank() != 1) return failure();
      for (auto i = 0; i < pack_ty.getDimSize(0); ++i) {

// CHECK:           %[[VAL_11:.*]] = "tf.Maximum"(%[[VAL_10]], %[[VAL_3]]) : (tensor<i32>, tensor<i32>) -> tensor<i32>
// CHECK:           %[[VAL_12:.*]] = "tf.Pack"(%[[VAL_7]], %[[VAL_11]]) <{axis = 0 : i64}> : (tensor<i32>, tensor<i32>) -> tensor<2xi32>
// CHECK:           %[[VAL_13:.*]] = "tf.Const"() <{value = dense<[4, 2]> : tensor<2xi64>}> : () -> tensor<2xi64>

github.com/marstr/guid,v1.1.0,h1:/M4H/1G4avsieL6BbUwCOBzulmoeKVP5ux/3mQNnbyI=,7db3cd8020c72ba260d1a20183bf5a030c696d6442eccaff2b31f72b194fc571
github.com/marten-seemann/qpack,v0.1.0,h1:/0M7lkda/6mus9B8u34Asqm8ZhHAAt9Ho0vniNuVSVg=,46c42087e554edae4e19f79b785722d27316e23278889bf78a0c8f43fc387f2e

ew=pe(),w_=M(),tr=class extends w_{prefixed(e,t){let r;return[r,t]=ew(t),r===2009?t+"box-pack":r===2012?t+"flex-pack":super.prefixed(e,t)}normalize(){return"justify-content"}set(e,t){let r=ew(t)[0];if(r===2009||r===2012){let n=tr.oldValues[e.value]||e.value;if(e.value=n,r!==2009||n!=="distribute")return super.set(e,t)}else if(r==="final")return super.set(e,t)}};tr.names=["justify-content","flex-pack","box-pack"];tr.oldValues={"flex-end":"end","flex-start":"start","space-between":"justify","space-...

  </mime-type>

  <mime-type type="application/x-java-jnlp-file">
    <glob pattern="*.jnlp"/>
  </mime-type>

  <mime-type type="application/x-java-pack200">
    <glob pattern="*.pack"/>
  </mime-type>
  <mime-type type="application/x-jeol-jdf">
    <_comment>JDF NMR Spectroscopy</_comment>
    <glob pattern="*.jdf"/>
    <magic priority="50">
      <!-- big endian -->