Op documentation update.
update of g3doc/includes/tf_passes.md
PiperOrigin-RevId: 384304142
Change-Id: I6d691a369ed00d7904d1da64689a212c20892dc6
diff --git a/tensorflow/compiler/mlir/g3doc/includes/tf_passes.md b/tensorflow/compiler/mlir/g3doc/includes/tf_passes.md
index 72f7070..6959297 100644
--- a/tensorflow/compiler/mlir/g3doc/includes/tf_passes.md
+++ b/tensorflow/compiler/mlir/g3doc/includes/tf_passes.md
@@ -205,6 +205,46 @@
return %identity, %identity_n#0 : tensor<i32>, tensor<i32>
}
```
+### `-tf-executor-tpu-v1-island-inlining`: Inline calls to the nested TPU module.
+This pass inlines the islands calling into the nested module that was
+outlined, thus reversing the effect of the
+`-tf-executor-tpu-v1-island-outlining` pass.
+
+For example, the following:
+```mlir
+module {
+ func @foo(%arg0: tensor<f32>) -> tensor<f32> {
+ %0 = tf_executor.graph {
+ %outputs, %control = tf_executor.island wraps "tf.PartitionedCall"(%arg0) {f = @_tpu_v1_compat_outlined::@bar} : (tensor<f32>) -> tensor<f32>
+ tf_executor.fetch %outputs : tensor<f32>
+ }
+ return %0 : tensor<f32>
+ }
+ module @_tpu_v1_compat_outlined {
+ func nested @bar(%arg0: tensor<f32>) -> tensor<f32> {
+ %0 = "tf.opA"(%arg0) : (tensor<f32>) -> tensor<f32>
+ return %0 : tensor<f32>
+ }
+ }
+}
+```
+
+will be transformed into:
+
+```mlir
+module {
+ func @foo(%arg0: tensor<f32>) -> tensor<f32> {
+ %0 = tf_executor.graph {
+ %outputs, %control = tf_executor.island {
+ %1 = "tf.opA"(%arg0) : (tensor<f32>) -> tensor<f32>
+ tf_executor.yield %1 : tensor<f32>
+ }
+ tf_executor.fetch %outputs : tensor<f32>
+ }
+ return %0 : tensor<f32>
+ }
+}
+```
### `-tf-functional-control-flow-to-regions`: Transforms functional control flow operations to their region-based counterparts
This pass transforms functional control flow operations in the TensorFlow
dialect to their region-based counterparts, i.e., `tf.If` is transformed to
@@ -851,6 +891,7 @@
}
return
}
+```
A non replicated `tf_device.cluster_func` with the model parallelism:
