"tooltip": false,
              "viz": false
            },
            "insertNulls": false,
            "lineInterpolation": "linear",
            "lineWidth": 1,
            "pointSize": 5,
            "scaleDistribution": {
              "type": "linear"
            },
            "showPoints": "never",
            "spanNulls": false,
            "stacking": {
              "group": "A",

              "tooltip": false,
              "viz": false
            },
            "insertNulls": false,
            "lineInterpolation": "linear",
            "lineWidth": 1,
            "pointSize": 5,
            "scaleDistribution": {
              "type": "linear"
            },
            "showPoints": "never",
            "spanNulls": false,
            "stacking": {
              "group": "A",

              "tooltip": false,
              "viz": false
            },
            "insertNulls": false,
            "lineInterpolation": "linear",
            "lineWidth": 1,
            "pointSize": 5,
            "scaleDistribution": {
              "type": "linear"
            },
            "showPoints": "never",
            "spanNulls": true,
            "stacking": {
              "group": "A",

// CHECK-LABEL: testResourceApplyFtrl
func.func @testResourceApplyFtrl(%var: tensor<*x!tf_type.resource>, %accum: tensor<*x!tf_type.resource>, %linear: tensor<*x!tf_type.resource>, %grad: tensor<*xf32>, %lr: tensor<*xf32>, %l1: tensor<*xf32>, %l2: tensor<*xf32>, %lr_power: tensor<*xf32>) -> () {

def TF_XlaSparseCoreFtrlOp : TF_Op<"XlaSparseCoreFtrl", []> {
  let summary = "aaa";

  let arguments = (ins
    TF_Float32Tensor:$embedding_table,
    TF_Float32Tensor:$accumulator,
    TF_Float32Tensor:$linear,
    TF_Float32Tensor:$learning_rate,
    TF_Int32Tensor:$indices,
    TF_Float32Tensor:$gradient,
    TF_Float32Tensor:$beta,
    TF_Float32Tensor:$learning_rate_power,

				j = h // preserves f(j) == true
			}
		}
		// i == j, f(i-1) == false, and f(j) (= f(i)) == true  =>  answer is i.

		// Having found the first, linear scan forward to find the last.
		// We could do a second binary search, but the caller is going
		// to do a linear scan anyway.
		for j := i; j < len(offs); j++ {
			typ := rtypeOff(section, offs[j])
			if stringFor(typ) != s {
				break
			}

.admonitionblock td.content {
	word-wrap: anywhere;
	background: var(--admonition-background);
	padding: 1rem 1rem 1rem 1rem;
	width: 100%;
	border-radius: 4px;
}

.admonitionblock td.icon {
	background: linear-gradient(90deg, rgba(0, 0, 0, .2) 0, rgba(0, 0, 0, .2)) no-repeat 0 /2.075em 100%;
	border-radius: .5em;
	font-size: calc(15/var(--rem-base)*1rem);
	left: 0;
	line-height: 1;
	padding: .25em .075em;

// Copyright 2015 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// Register allocation.
//
// We use a version of a linear scan register allocator. We treat the
// whole function as a single long basic block and run through
// it using a greedy register allocator. Then all merge edges
// (those targeting a block with len(Preds)>1) are processed to

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l-left,.fal.fa-pull-left,.far.fa-pull-left,.fas.fa-pull-left{margin-right:.3em}.fa.fa-pull-right,.fab.fa-pull-right,.fal.fa-pull-right,.far.fa-pull-right,.fas.fa-pull-right{margin-left:.3em}.fa-spin{-webkit-animation:fa-spin 2s linear infinite;animation:fa-spin 2s linear infinite}.fa-pulse{-webkit-animation:fa-spin 1s steps(8) infinite;animation:fa-spin 1s steps(8) infinite}@-webkit-keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}to{-webkit-transform:rotate(1turn);tran...