}

  return builder->create<mlir::TF::ConcatOp>(
      location, output_type, concat_dimension_op.getOutput(), inputs);
}

// For tile sharded inputs to TPU computation, inject split op between the
// input values and TPU computation so that tiled input values are passed in
// as inputs to TPU computations. If more than one dimension is sharded, then

-color) .uk-heading-medium,.uk-tile-primary:not(.uk-preserve-color) .uk-heading-small,.uk-tile-primary:not(.uk-preserve-color) .uk-heading-xlarge,.uk-tile-primary:not(.uk-preserve-color) h1,.uk-tile-primary:not(.uk-preserve-color) h2,.uk-tile-primary:not(.uk-preserve-color) h3,.uk-tile-primary:not(.uk-preserve-color) h4,.uk-tile-primary:not(.uk-preserve-color) h5,.uk-tile-primary:not(.uk-preserve-color) h6,.uk-tile-secondary:not(.uk-preserve-color) .uk-h1,.uk-tile-secondary:not(.uk-preserve-color)...

go list -x -m all  # Download go.mod files.
! stderr github
stderr proxy.golang.org/rsc.io/quote
! stderr sum.golang.org/tile
! stderr sum.golang.org/lookup/rsc.io/quote

go list -x -deps rsc.io/quote  # Download module source.
! stderr github
stderr proxy.golang.org/rsc.io/quote
! stderr sum.golang.org/tile
! stderr sum.golang.org/lookup/rsc.io/quote

cmp go.sum saved.sum


# Download again.

                const std::vector<Output>& grad_inputs,
                std::vector<Output>* grad_outputs) {
  if (op.num_inputs() != 2) {
    return errors::InvalidArgument("Tile requires 2 inputs");
  }
  if (grad_inputs.size() != 1) {
    return errors::InvalidArgument("Tile grad requires 1 grad input");
  }

  Shape::Attrs shape_attrs;
  shape_attrs.out_type_ = op.input_type(1);

e}(O1.default);zr.default=D1;sp.exports=zr.default});var op=v((nn,ap)=>{l();"use strict";nn.__esModule=!0;nn.default=I1;function I1(i){return i.sort(function(e,t){return e-t})}ap.exports=nn.default});var ya=v(D=>{l();"use strict";D.__esModule=!0;D.word=D.tilde=D.tab=D.str=D.space=D.slash=D.singleQuote=D.semicolon=D.plus=D.pipe=D.openSquare=D.openParenthesis=D.newline=D.greaterThan=D.feed=D.equals=D.doubleQuote=D.dollar=D.cr=D.comment=D.comma=D.combinator=D.colon=D.closeSquare=D.closeParenthesis=D.caret=...

	// returning the record ID.
	Lookup(ctx context.Context, m module.Version) (int64, error)

	// ReadTileData reads the content of tile t.
	// It is only invoked for hash tiles (t.L ≥ 0).
	ReadTileData(ctx context.Context, t tlog.Tile) ([]byte, error)
}

// A Server is the checksum database HTTP server,
// which implements http.Handler and should be invoked
// to serve the paths listed in [ServerPaths].

 Pad 1
 ReadVariableOp 646
 Relu 49
 ReluGrad 49
 Reshape 2
 ResourceApplyKerasMomentum 161
 ShapeN 50
 Softmax 1
 SparseSoftmaxCrossEntropyWithLogits 1
 Square 55
 Squeeze 1
 Sub 106
 Sum 57
 Tile 1

 Mean 1
 Mul 218
 Pad 2
 ReadVariableOp 538
 Relu 49
 ReluGrad 49
 Reshape 2
 ResourceApplyKerasMomentum 161
 Slice 1
 Softmax 1
 SparseSoftmaxCrossEntropyWithLogits 1
 Squeeze 1
 Sum 1
 Tile 1
 Transpose 1
cluster 1 size 815
 AddN 1
 AssignAddVariableOp 1
 AssignSubVariableOp 106
 Const 220
 DivNoNan 1
 Identity 1
 Mul 161
 ReadVariableOp 106
 Square 55
 Sub 106

    "StopGradient",
    "StridedSlice",
    "StridedSliceGrad",
    "TensorScatterAdd",
    "TensorScatterMax",
    "TensorScatterMin",
    "TensorScatterSub",
    "TensorStridedSliceUpdate",
    "Tile",
    "TileGrad",
    "Transpose",
    "Unique",
    "UniqueV2",
    "UniqueWithCounts",
    "UniqueWithCountsV2",
    "Unpack",
    "UnravelIndex",
    "Where",
    "ZerosLike",

 Minimum 1
 Mul 3
 Pack 2
 Pad 1
 Range 1
 RealDiv 1
 Reshape 8
 Shape 7
 Size 1
 Slice 2
 Snapshot 5
 SparseSoftmaxCrossEntropyWithLogits 1
 StridedSlice 2
 Sub 3
 Sum 1
 Tile 1
 Transpose 2
 Unpack 1
cluster 2 size 44
 Cast 2
 ConcatV2 2
 Const 18
 ExpandDims 1
 GatherV2 2
 Less 1
 MatMul 1
 Mul 1
 Pack 1
 Prod 2
 Range 1
 Reshape 3