{AMOVB, C_UAUTO4K, C_NONE, C_NONE, C_ZREG, C_NONE, 21, 4, REGSP, 0, 0},
	{AMOVB, C_UOREG4K, C_NONE, C_NONE, C_ZREG, C_NONE, 21, 4, 0, 0, 0},
	{AMOVH, C_UAUTO8K, C_NONE, C_NONE, C_ZREG, C_NONE, 21, 4, REGSP, 0, 0},
	{AMOVH, C_UOREG8K, C_NONE, C_NONE, C_ZREG, C_NONE, 21, 4, 0, 0, 0},
	{AMOVW, C_UAUTO16K, C_NONE, C_NONE, C_ZREG, C_NONE, 21, 4, REGSP, 0, 0},
	{AMOVW, C_UOREG16K, C_NONE, C_NONE, C_ZREG, C_NONE, 21, 4, 0, 0, 0},

	EM_KMX32         Machine = 211 /* KM211 KMX32 32-bit processor */
	EM_KMX16         Machine = 212 /* KM211 KMX16 16-bit processor */
	EM_KMX8          Machine = 213 /* KM211 KMX8 8-bit processor */
	EM_KVARC         Machine = 214 /* KM211 KVARC processor */
	EM_CDP           Machine = 215 /* Paneve CDP architecture family */
	EM_COGE          Machine = 216 /* Cognitive Smart Memory Processor */

      "integrity": "sha512-/5CMN3T0R4XTj4DcGaexo+roZSdSFW/0AOOTROrjxzCG1wrWXEsGbRKevjlIL+ZDE4sZlJr5ED4YW0yqmkK+eA==",
      "dev": true,
      "dependencies": {
        "hosted-git-info": "^2.1.4",
        "resolve": "^1.10.0",
        "semver": "2 || 3 || 4 || 5",
        "validate-npm-package-license": "^3.0.1"
      }
    },
    "node_modules/npm-run-all/node_modules/path-key": {

	207: {lang: 0x3f0, region: 0x9a},
	208: {lang: 0x45, region: 0x136},
	209: {lang: 0x139, region: 0x7c},
	210: {lang: 0x3e9, region: 0x9a},
	212: {lang: 0x3e9, region: 0x9a},
	213: {lang: 0x3fa, region: 0x9a},
	214: {lang: 0x40c, region: 0xb4},
	217: {lang: 0x433, region: 0x9a},
	218: {lang: 0xef, region: 0xc6},
	219: {lang: 0x43e, region: 0x96},
	221: {lang: 0x44d, region: 0x35},
	222: {lang: 0x44e, region: 0x9c},

   * HttpURLConnection was always HTTP; in practice redirects mean that each can do either.
   *
   * https://github.com/square/okhttp/issues/214
   */
  @Test
  fun secureResponseCachingAndProtocolRedirects() {
    server2.useHttps(handshakeCertificates.sslSocketFactory())
    server2.enqueue(
      MockResponse.Builder()

        TFL_TCresVTEtIsSameAsOp<0, 2>]>>,
    PredOpTrait<"bias must has num of elements equals to 4th dim of filter",
      Or<[
        TFL_OperandIsNoneType<2>,
        TFL_NumElementsEqualsDim<2, 1, 4>]>>]> {
  let summary = "Convolution 3D operator";

  let description = [{
    Performs convolution operation on 3D inputs.
    Inputs:
      `inputs[0]`: required: the input activation tensor

GoStart dt=4 g=51 g_seq=38
GoLabel dt=1 label_string=2
GoBlock dt=3928 reason_string=15 stack=5
GoUnblock dt=14 g=51 g_seq=39 stack=0
GoStart dt=3 g=51 g_seq=40
GoLabel dt=3 label_string=2
GoBlock dt=214 reason_string=15 stack=5
GoUnblock dt=5 g=51 g_seq=41 stack=0
GoStart dt=1 g=51 g_seq=42
GoLabel dt=1 label_string=2
GoBlock dt=305 reason_string=15 stack=5
GoUnblock dt=8 g=51 g_seq=43 stack=0