Remove HostCompute HLO.

Now for host compute, we just emit SendToHost & RecvFromHost pairs, and use token to ensure dependency.

PiperOrigin-RevId: 209671416

1 files changed, 0 insertions, 9 deletions

diff --git a/tensorflow/compiler/xla/service/hlo_instruction.h b/tensorflow/compiler/xla/service/hlo_instruction.h
index a392252774..41bb40b7bd 100644
--- a/tensorflow/compiler/xla/service/hlo_instruction.h
+++ b/tensorflow/compiler/xla/service/hlo_instruction.h
@@ -709,12 +709,6 @@ class HloInstruction {
       const Shape& shape, tensorflow::gtl::ArraySlice<HloInstruction*> operands,
       tensorflow::StringPiece custom_call_target);
 
-  // Creates a HostCompute instruction, which records host-side control and
-  // data dependencies for use in instruction scheduling.
-  static std::unique_ptr<HloInstruction> CreateHostCompute(
-      const Shape& shape, tensorflow::gtl::ArraySlice<HloInstruction*> operands,
-      tensorflow::StringPiece channel_name, const int64 cost_estimate_ns);
-
   // Creates a tuple instruction with the given elements. This is a convenience
   // wrapper around CreateVariadic.
   static std::unique_ptr<HloInstruction> CreateTuple(
@@ -1476,9 +1470,6 @@ class HloInstruction {
   // Delegates to HloCustomCallInstruction::custom_call_target.
   const string& custom_call_target() const;
 
-  // Delegates to HloHostComputeInstruction::channel_name.
-  const string& channel_name() const;
-
   // Delegates to HloPadInstruction::padding_config.
   const PaddingConfig& padding_config() const;