- Sort Score
- Result 10 results
- Languages All
Results 11 - 20 of 44 for Xadd (0.17 sec)
-
CHANGELOG/CHANGELOG-1.5.md
* Add a new global option "--request-timeout" to the `kubectl` client ([#33958](https://github.com/kubernetes/kubernetes/pull/33958), [@juanvallejo](https://github.com/juanvallejo)) * Add support for admission controller based on namespace node selectors. ([#24980](https://github.com/kubernetes/kubernetes/pull/24980), [@aveshagarwal](https://github.com/aveshagarwal))
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Thu Dec 24 02:28:26 UTC 2020 - 136.4K bytes - Viewed (0) -
src/main/webapp/js/admin/popper.min.js.map
.sort((a, b) => a.order - b.order);\n\n // modifiers have the ability to execute arbitrary code when Popper.js get inited\n // such code is executed in the same order of its modifier\n // they could add new properties to their options configuration\n // BE AWARE: don't add options to `options.modifiers.name` but to `modifierOptions`!\n this.modifiers.forEach(modifierOptions => {\n if (modifierOptions.enabled && isFunction(modifierOptions.onLoad)) {\n modifierOptions.onLoad(\n...
Registered: Wed Jun 12 13:08:18 UTC 2024 - Last Modified: Fri Feb 07 10:28:50 UTC 2020 - 121K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
%5 = "tf.Case"(%3, %4, %arg1) {branches = [@sub, @add], output_shapes = [#tf_type.shape<>], device= "noodle", _cluster_launch = "not_ready", is_stateless = false} : (tensor<i32>, tensor<f32>, tensor<f32>) -> tensor<f32> func.return %5 : tensor<f32> } func.func @add(%arg0: tensor<*xf32>, %arg1: tensor<*xf32>) -> tensor<*xf32> { %0 = "tf.Add"(%arg0, %arg1): (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0) -
src/cmd/compile/internal/ssa/_gen/generic.rules
// (x - t) + (t + y) == x + y // (x - t) + (y + t) == x + y (Sub(64|32|16|8) (Add(64|32|16|8) t x) (Add(64|32|16|8) t y)) => (Sub(64|32|16|8) x y) (Add(64|32|16|8) (Sub(64|32|16|8) x t) (Add(64|32|16|8) t y)) => (Add(64|32|16|8) x y) // ^(x-1) == ^x+1 == -x (Add(64|32|16|8) (Const(64|32|16|8) [1]) (Com(64|32|16|8) x)) => (Neg(64|32|16|8) x) (Com(64|32|16|8) (Add(64|32|16|8) (Const(64|32|16|8) [-1]) x)) => (Neg(64|32|16|8) x) // -(-x) == x
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 16 22:21:05 UTC 2024 - 135.3K bytes - Viewed (0) -
cmd/site-replication.go
for _, sri := range sris { for b := range sri.Buckets { allBuckets.Add(b) } for u := range sri.UserInfoMap { allUsers.Add(u) } for g := range sri.GroupDescMap { allGroups.Add(g) } for p := range sri.Policies { allPolicies.Add(p) } for u := range sri.UserPolicies { allUserWPolicies.Add(u) } for g := range sri.GroupPolicies { allGroupWPolicies.Add(g)
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Fri May 24 23:05:23 UTC 2024 - 184.3K bytes - Viewed (0) -
tensorflow/compiler/jit/encapsulate_subgraphs_pass_test.cc
"/job:localhost/replica:0/task:0/cpu:0"); auto x = ops::Placeholder(root.WithOpName("x"), DT_FLOAT); auto add1 = ops::Add(root.WithOpName("add1"), x, x); add1.node()->AddAttr("_cluster", "cluster1"); auto add2 = ops::Add(root.WithOpName("add2"), add1, add1); add2.node()->AddAttr("_cluster", "cluster2"); auto out = ops::Mul(root.WithOpName("mul"), add1, add2);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 113.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
// CHECK: "NONE" %0 = tfl.add %arg0, %arg1 {fused_activation_function = "NONE"} : tensor<4xi32> // CHECK: "RELU" %1 = tfl.add %arg0, %arg1 {fused_activation_function = "RELU"} : tensor<4xi32> // CHECK: "RELU_N1_TO_1" %2 = tfl.add %arg0, %arg1 {fused_activation_function = "RELU_N1_TO_1"} : tensor<4xi32> // CHECK: "RELU6" %3 = tfl.add %arg0, %arg1 {fused_activation_function = "RELU6"} : tensor<4xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
src/net/http/serve_test.go
} func TestEarlyHints(t *testing.T) { ht := newHandlerTest(HandlerFunc(func(w ResponseWriter, r *Request) { h := w.Header() h.Add("Link", "</style.css>; rel=preload; as=style") h.Add("Link", "</script.js>; rel=preload; as=script") w.WriteHeader(StatusEarlyHints) h.Add("Link", "</foo.js>; rel=preload; as=script") w.WriteHeader(StatusEarlyHints) w.Write([]byte("stuff")) }))
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Jun 07 17:57:01 UTC 2024 - 202K bytes - Viewed (0) -
src/database/sql/sql.go
// connRequestDelHandle is an opaque handle to delete an // item from calling Add. type connRequestDelHandle struct { idx *int // pointer to index; or -1 if not in slice } // Add adds v to the set of waiting requests. // The returned connRequestDelHandle can be used to remove the item from // the set. func (s *connRequestSet) Add(v chan connRequest) connRequestDelHandle { idx := len(s.s)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 01:16:53 UTC 2024 - 103.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
the rank of `input`. For each dimension D of `input`, `paddings[D, 0]` indicates how many zeros to add before the contents of `input` in that dimension, and `paddings[D, 1]` indicates how many zeros to add after the contents of `input` in that dimension. The padded size of each dimension D of the output is:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0)