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Results 1 - 10 of about 10,000 for tile (0.07 sec)
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src/cmd/vendor/golang.org/x/mod/sumdb/tlog/tile.go
var tiles []Tile // Plan to fetch tiles necessary to recompute tree hash. // If it matches, those tiles are authenticated. stx := subTreeIndex(0, r.tree.N, nil) stxTileOrder := make([]int, len(stx)) for i, x := range stx { tile, _, _ := tileForIndex(h, x) tile = tileParent(tile, 0, r.tree.N) if j, ok := tileOrder[tile]; ok { stxTileOrder[i] = j continue }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 03 02:38:00 UTC 2024 - 13K bytes - Viewed (0) -
src/cmd/vendor/golang.org/x/mod/sumdb/client.go
func (r *tileReader) SaveTiles(tiles []tlog.Tile, data [][]byte) { c := r.c // Determine which tiles need saving. // (Tiles that came from the cache need not be saved back.) save := make([]bool, len(tiles)) c.tileSavedMu.Lock() for i, tile := range tiles { if !c.tileSaved[tile] { save[i] = true c.tileSaved[tile] = true } } c.tileSavedMu.Unlock()
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Feb 08 17:50:49 UTC 2024 - 19.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/xla_sharding_util.cc
} 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
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 21:28:13 UTC 2024 - 34K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/fuse-tftext.mlir
%177 = "tf.Reshape"(%176, %9) {device = ""} : (tensor<i32>, tensor<0xi32>) -> tensor<i32> %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>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 460.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/attributes.mlir
%multiples = "tf.Const"() { device = "/device:CPU:0", value = dense<[7,3]> : tensor<2xi32> } : () -> tensor<2xi32> // CHECK: T = !corert.string %output = "tf.Tile"(%arg, %multiples) { device = "/device:CPU:0" } : (tensor<1x2x!tf_type.string>, tensor<2xi32>) -> tensor<?x6x!tf_type.string> func.return %output : tensor<?x6x!tf_type.string> } // CHECK-LABEL: func @shape
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 00:18:59 UTC 2024 - 4.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/xla_sharding_util.h
// A sharding with OTHER type may be REPLICATED if: // 'replicate_on_last_tile_dim' is true OR // 'last_tile_dims' is not empty // AND // other than replicated last tile dims, all other dims are not sharded. bool IsOtherReplicatedSharding(const xla::OpSharding& xla_sharding); // Returns whether the sharding is split sharding. i.e. A sharding with OTHER // type but not replicated.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 28 22:18:34 UTC 2024 - 6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/constant-fold.mlir
%2 = "tf.ExpandDims"(%1, %const_0) : (tensor<10000xi32>, tensor<i32>) -> tensor<1x10000xi32> %3 = "tf.Tile"(%2, %const_64_1) : (tensor<1x10000xi32>, tensor<2xi32>) -> tensor<64x10000xi32> // CHECK-NOT: tf.Range // CHECK-NOT: tf.ExpandDims // CHECK: [[TILE:%.*]] = "tf.Tile" // CHECK: return [[TILE]] func.return %3 : tensor<64x10000xi32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 31 23:22:24 UTC 2024 - 36.7K bytes - Viewed (0) -
src/vendor/golang.org/x/sys/cpu/cpu.go
// license that can be found in the LICENSE file. // Package cpu implements processor feature detection for // various CPU architectures. package cpu import ( "os" "strings" ) // Initialized reports whether the CPU features were initialized. // // For some GOOS/GOARCH combinations initialization of the CPU features depends // on reading an operating specific file, e.g. /proc/self/auxv on linux/arm
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 08 16:12:58 UTC 2024 - 12.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize_patterns.td
"TFL::HasOneUseOrUsedByOnlyBinaryOps($0)">>; // Pattern for skipping Tile if it is mainly for broadcasting and the // Op is already supporting broadcasting. multiclass FuseTileBroadcastIntoFollowingBinary<Op BinaryOp> { def FuseTileBroadcastToBinaryOp1#BinaryOp : Pat< (BinaryOp:$result (TFL_TileOp $input, (Arith_ConstantOp $tile)), $operand, $act_func), (BinaryOp $input, $operand, $act_func),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 66.4K bytes - Viewed (0) -
cmd/update.go
return time.Parse(time.RFC3339, version) } // releaseTimeToReleaseTag - converts a time to a string formatted as // an official MinIO release tag. // // An official minio release tag looks like: // `RELEASE.2017-09-29T19-16-56Z` func releaseTimeToReleaseTag(releaseTime time.Time) string { return "RELEASE." + releaseTime.Format(MinioReleaseTagTimeLayout) }
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Fri May 24 23:05:23 UTC 2024 - 18.7K bytes - Viewed (0)