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Results 1 - 10 of 105 for i8rand (0.17 sec)
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src/math/rand/v2/rand.go
} // New returns a new Rand that uses random values from src // to generate other random values. func New(src Source) *Rand { return &Rand{src: src} } // Int64 returns a non-negative pseudo-random 63-bit integer as an int64. func (r *Rand) Int64() int64 { return int64(r.src.Uint64() &^ (1 << 63)) } // Uint32 returns a pseudo-random 32-bit value as a uint32. func (r *Rand) Uint32() uint32 { return uint32(r.src.Uint64() >> 32) }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 22 02:25:49 UTC 2024 - 12.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/executor_island_coarsening.cc
// Collect operands for the new merged island. island_operands_and_results.operands.clear(); for (IslandOp island : merged_island.islands) island_operands_and_results.operands.insert(island.operand_begin(), island.operand_end()); for (IslandOp island : merged_island.islands) island_operands_and_results.operands.remove(island.getControl());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 19.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/convert_control_to_data_outputs.mlir
// CHECK: %[[ADD:.*]], %{{.*}} = tf_executor.island wraps "tf.Add"(%[[ARG_2]], %[[ARG_3]]) : (tensor<f32>, tensor<f32>) -> tensor<f32> %add, %add_control = tf_executor.island wraps "tf.Add"(%arg2, %arg3) : (tensor<f32>, tensor<f32>) -> tensor<f32> // CHECK: %[[MUL:.*]], %{{.*}} = tf_executor.island wraps "tf.Mul"(%[[ARG_2]], %[[ARG_3]]) : (tensor<f32>, tensor<f32>) -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 18:35:00 UTC 2024 - 68.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/breakup-islands.mlir
} tf_executor.NextIteration.Sink[%source#1] %island#0 : tensor<*xi32> tf_executor.fetch %island#0 : tensor<*xi32> } func.return } // CHECK: %[[CONTROL:[^ ,]*]] = tf_executor.island wraps "tf.Print" // CHECK: tf_executor.LoopCond {{.*}}, %[[CONTROL]] func.func @loop_cond_control_input() { tf_executor.graph { %island:2 = tf_executor.island {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:59:10 UTC 2023 - 28.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/update_control_dependencies.mlir
// CHECK: %[[control:.*]] = tf_executor.island wraps "tf.A"() tf_executor.island wraps "tf.A"() : () -> () // CHECK-NEXT: %[[control_2:.*]] = tf_executor.island(%[[control]]) wraps "tf.B"() tf_executor.island wraps "tf.B"() {_parallel_execution_ids = "r1:1"} : () -> () // CHECK-NEXT: %[[control_3:.*]] = tf_executor.island(%[[control_2]]) wraps "tf.C"()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Nov 03 18:12:49 UTC 2023 - 25.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_validate_inputs.mlir
%0:2 = tf_executor.graph { %control = tf_executor.island() wraps "tf.TPUReplicateMetadata"() {_tpu_replicate = "cluster", device = "/device:TPU:0", num_replicas = 2, topology = "topology"} : () -> () %ri, %c0 = tf_executor.island wraps "tf.TPUReplicatedInput"(%arg0, %arg1) {index = 1 : i64, is_mirrored_variable = false, is_packed = false} : (tensor<i32>, tensor<i32>) -> tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 07 06:51:01 UTC 2024 - 15.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_bridge_v1/end_to_end.mlir
// CHECK-NOT: func @_func tf_executor.graph { %outputs, %control = tf_executor.island wraps "arith.constant"() {value = dense<2.000000e+00> : tensor<f32>} : () -> tensor<f32> %outputs_0, %control_1 = tf_executor.island wraps "arith.constant"() {value = dense<3.000000e+00> : tensor<f32>} : () -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 13 21:23:47 UTC 2024 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlprogram.mlir
%0 = tf_executor.graph { %outputs, %control = tf_executor.island wraps "tf.Const"() {device = "", value = dense<1> : tensor<i32>} : () -> tensor<i32> %outputs_0, %control_1 = tf_executor.island wraps "tf.Const"() {device = "", value = dense<20> : tensor<i32>} : () -> tensor<i32> %outputs_2, %control_3 = tf_executor.island wraps "tf.Const"() {device = "", value = dense<0> : tensor<i32>} : () -> tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 19:27:16 UTC 2024 - 7.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/testdata/outside_compilation.mlir
%control_15 = tf_executor.island(%control_14) wraps "tf.NoOp"() {_has_manual_control_dependencies = true, _tpu_replicate = "cluster_sample_sequence", device = ""} : () -> () %control_16 = tf_executor.island(%control_15) wraps "tf.NoOp"() {device = ""} : () -> () %control_17 = tf_executor.island(%control_15) wraps "tf.NoOp"() {device = ""} : () -> ()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Oct 19 20:19:45 UTC 2023 - 21.9K bytes - Viewed (0) -
src/math/rand/rand.go
readPos int8 } // New returns a new [Rand] that uses random values from src // to generate other random values. func New(src Source) *Rand { s64, _ := src.(Source64) return &Rand{src: src, s64: s64} } // Seed uses the provided seed value to initialize the generator to a deterministic state. // Seed should not be called concurrently with any other [Rand] method. func (r *Rand) Seed(seed int64) {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 22 22:09:08 UTC 2024 - 16.9K bytes - Viewed (0)