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Results 11 - 20 of 42 for opA (0.04 sec)
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tensorflow/compiler/mlir/tensorflow/tests/tpu_validate_inputs.mlir
%out, %c1 = tf_executor.island wraps "tf.opA"(%ri) {_tpu_replicate="cluster"}: (tensor<i32>) -> tensor<i32> // expected-warning @+1 {{TF2XLA TPU bridge input check: cluster op = tf.opA with cluster = cluster has successor as non cluster op tf.opB}} %out2, %c2 = tf_executor.island wraps "tf.opB"(%out) : (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/hoist_loop_invariant.mlir
// CHECK: [[RES_1:%.*]] = "tf.Add"([[CST_1]], [[CST_0]]) // CHECK: [[RES_2:%.*]] = "tf.Mul"([[RES_1]], [[CST_1]]) // CHECK: tf.WhileRegion // CHECK: ^bb0 // CHECK: tf.OpA // CHECK: ^bb0([[ARG_2:%[a-zA-Z0-9_]+]] // CHECK-SAME: [[ARG_3:%[a-zA-Z0-9_]+]]: tensor<i32>) // CHECK-NEXT: [[RES_3:%.*]] = "tf.AddV2"([[ARG_2]], [[RES_1]]) // CHECK-NEXT: [[RES_4:%.*]] = "tf.Div"([[ARG_3]], [[RES_2]])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Aug 22 17:12:02 UTC 2023 - 14.2K bytes - Viewed (0) -
internal/config/policy/plugin/config.go
if err != nil { return false, err } // Handle large OPA responses when OPA URL is of // form http://localhost:8181/v1/data/httpapi/authz type opaResultAllow struct { Result struct { Allow bool `json:"allow"` } `json:"result"` } // Handle simpler OPA responses when OPA URL is of // form http://localhost:8181/v1/data/httpapi/authz/allow type opaResult struct {
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Fri May 24 23:05:23 UTC 2024 - 5.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_device_ops.mlir
// CHECK-SAME: n = 2 // CHECK: tf_device.return } // ----- // CHECK-LABEL: func @replicate_with_multiple_operands func.func @replicate_with_multiple_operands() { %0 = "tf.opA"() : () -> tensor<*xi1> %1 = "tf.opB"() : () -> tensor<*xi1> %2 = "tf.opC"() : () -> tensor<*xi1> %3 = "tf.opD"() : () -> tensor<*xi32> %4 = "tf.opE"() : () -> tensor<*xi32> %5 = "tf.opF"() : () -> tensor<*xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 23:53:20 UTC 2024 - 7.7K bytes - Viewed (0) -
cmd/config-migrate.go
cfg.Compression.MimeTypes = strings.Split(compress.DefaultMimeTypes, config.ValueSeparator) case "30": // V30 -> V31 cfg.OpenID = openid.Config{} cfg.Policy.OPA = opa.Args{ URL: &xnet.URL{}, AuthToken: "", } case "31": // V31 -> V32 cfg.Notify.NSQ = make(map[string]target.NSQArgs) cfg.Notify.NSQ["1"] = target.NSQArgs{} }
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Fri May 24 23:05:23 UTC 2024 - 5.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/xla_broadcast.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 13 18:52:07 UTC 2024 - 2.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/sparsecore/sparsecore_passes.td
during TPURewritePass. For example, the tf.OpA with the `mini_batch_splits` attribute will be moved after _TPUCompileMlir and the first input will use the _TPUCompileMlir program output: ```mlir "tf_device.launch"() ({ %cst_0 = "tf.Const"() {value = dense<""> : tensor<1x!tf_type.string>} : () -> tensor<1x!tf_type.string> "tf.OpA"(%cst_0) { mini_batch_splits = ""} : (tensor<1x!tf_type.string>) -> ()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 28 23:42:09 UTC 2024 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/attribute_utils.h
// // tf_executor.island wraps "tf.OpA" // tf_executor.island { // "tf_device.replicate" {n = 2} { // "tf.OpB" // "tf_device.parallel_execute"() ({ // "tf.OpC" // }, { // "tf.OpD" // }) // } // // The above IR will be flattened after `ReplicateToIslandPass` and // `ParallelExecuteToIslandsPass` as follows: // // tf_executor.island wraps "tf.OpA"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 19:47:48 UTC 2024 - 8.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_device_passes.td
For example, the following: ```mlir func @single_op_launch() { %a = "tf.opA"() {device = "CPU:0"} : () -> tensor<i1> return %a } ``` will be transformed into: ```mlir func @single_op_launch() { %1 = tf_device.launch() ( { %a = "tf.opA"() : () -> tensor<i1> tf_device.return %a }) {device = "CPU:0"} : () -> tensor<i1>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 17 18:52:57 UTC 2024 - 12.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/analysis/side_effect_analysis.h
// // Two ops with the same groups and different branches are considered // parallel so are not made dependent. For example if `OpA` has parallel_ids // `{group0:branch0, group1:branch0}` // and `OpB` has parallel_ids // `{group0:branch1, graph1:branch0}` // then `OpA` and `OpB` are executed in parallel because `group0` is common // with a different branch. //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 15 09:04:13 UTC 2024 - 14.8K bytes - Viewed (0)