diff --git a/tensorflow/stream_executor/BUILD b/tensorflow/stream_executor/BUILD
index 7cf7e75a550..fca28e016af 100644
--- a/tensorflow/stream_executor/BUILD
+++ b/tensorflow/stream_executor/BUILD
@@ -206,7 +206,6 @@ cc_library(
 cc_library(
     name = "stream",
     srcs = [
-        "host_buffer.h",
         "stream.cc",
     ],
     hdrs = ["stream.h"],
@@ -453,12 +452,6 @@ cc_library(
     ],
 )
 
-cc_library(
-    name = "host_buffer",
-    hdrs = ["host_buffer.h"],
-    deps = [":dnn"],
-)
-
 tf_proto_library(
     name = "dnn_proto",
     srcs = ["dnn.proto"],
diff --git a/tensorflow/stream_executor/dnn.h b/tensorflow/stream_executor/dnn.h
index f5eef29109d..f60d1ada241 100644
--- a/tensorflow/stream_executor/dnn.h
+++ b/tensorflow/stream_executor/dnn.h
@@ -2069,22 +2069,6 @@ class DnnSupport {
       QuantizedActivationMode mode,
       DeviceMemory<float>* gpu_unquantized_dst) = 0;
 
-  // Enqueues an asynchronous copy of the contents of buffer_src to
-  // gpu_unquantized_dst.
-  virtual bool DoCopyHostBuffer2Device(
-      Stream* stream, HostBuffer* buffer_src,
-      DeviceMemory<float>* gpu_unquantized_dst) {
-    return false;
-  }
-
-  // Enqueues an asynchronous copy of the contents of gpu_unquantized_src to
-  // buffer_dst.
-  virtual bool DoCopyDevice2HostBuffer(
-      Stream* stream, const DeviceMemory<float>& gpu_unquantized_src,
-      HostBuffer* buffer_dst) {
-    return false;
-  }
-
   // Create an RNN descriptor based on model shapes and configurations.
   // The caller retains the ownership of the descriptor.
   //
diff --git a/tensorflow/stream_executor/host_buffer.h b/tensorflow/stream_executor/host_buffer.h
deleted file mode 100644
index 20299da5172..00000000000
--- a/tensorflow/stream_executor/host_buffer.h
+++ /dev/null
@@ -1,46 +0,0 @@
-/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-==============================================================================*/
-
-#ifndef TENSORFLOW_STREAM_EXECUTOR_HOST_BUFFER_H_
-#define TENSORFLOW_STREAM_EXECUTOR_HOST_BUFFER_H_
-
-#include "tensorflow/stream_executor/dnn.h"
-
-namespace stream_executor {
-
-// A HostBuffer is a block of memory in host memory containing the data for a
-// dnn::BatchDescriptor using a device-dependent memory layout.
-// Derived classes provide methods to construct a HostBuffer for a specific
-// device, and to copy data in and out of the buffer.
-class HostBuffer {
- public:
-  const dnn::BatchDescriptor& descriptor() const { return descriptor_; }
-
-  // Returns a string describing the HostBuffer.
-  virtual string AsString() const = 0;
-
- protected:
-  // Construct a HostBuffer from the supplied dnn::BatchDescriptor.
-  explicit HostBuffer(const dnn::BatchDescriptor& descriptor)
-      : descriptor_(descriptor) {}
-  virtual ~HostBuffer() {}
-
- private:
-  const dnn::BatchDescriptor descriptor_;
-};
-
-}  // namespace stream_executor
-
-#endif  // TENSORFLOW_STREAM_EXECUTOR_HOST_BUFFER_H_
diff --git a/tensorflow/stream_executor/stream.cc b/tensorflow/stream_executor/stream.cc
index 0dceacb228c..e7485ca426b 100644
--- a/tensorflow/stream_executor/stream.cc
+++ b/tensorflow/stream_executor/stream.cc
@@ -20,7 +20,6 @@ limitations under the License.
 #include "absl/strings/str_cat.h"
 #include "third_party/eigen3/Eigen/Core"
 #include "tensorflow/stream_executor/blas.h"
-#include "tensorflow/stream_executor/host_buffer.h"
 #include "tensorflow/stream_executor/host_or_device_scalar.h"
 #include "tensorflow/stream_executor/lib/stacktrace.h"
 #include "tensorflow/stream_executor/platform.h"
@@ -95,8 +94,6 @@ string ToVlogString(const void *ptr) {
   return out.str();
 }
 
-string ToVlogString(const HostBuffer &buffer) { return buffer.AsString(); }
-
 template <class T>
 string ToVlogString(const std::complex<T> &c) {
   // StrCat does not convert std::complex to text.
@@ -2103,36 +2100,6 @@ Stream &Stream::ThenMemcpyH2DQuantized(
   return *this;
 }
 
-Stream &Stream::ThenCopyHostBuffer2Device(
-    HostBuffer *buffer_src, DeviceMemory<float> *gpu_unquantized_dst) {
-  VLOG_CALL(PARAM(*buffer_src), PARAM(gpu_unquantized_dst));
-
-  if (ok()) {
-    if (dnn::DnnSupport *dnn = parent_->AsDnn()) {
-      CheckError(
-          dnn->DoCopyHostBuffer2Device(this, buffer_src, gpu_unquantized_dst));
-    } else {
-      SetErrorAndLogNoDnnSupport();
-    }
-  }
-  return *this;
-}
-
-Stream &Stream::ThenCopyDevice2HostBuffer(
-    const DeviceMemory<float> &gpu_unquantized_src, HostBuffer *buffer_dst) {
-  VLOG_CALL(PARAM(gpu_unquantized_src), PARAM(*buffer_dst));
-
-  if (ok()) {
-    if (dnn::DnnSupport *dnn = parent_->AsDnn()) {
-      CheckError(
-          dnn->DoCopyDevice2HostBuffer(this, gpu_unquantized_src, buffer_dst));
-    } else {
-      SetErrorAndLogNoDnnSupport();
-    }
-  }
-  return *this;
-}
-
 Stream *Stream::GetOrCreateSubStream() {
   mutex_lock lock(mu_);