diff options
| author |  Yanan Cao <ycao@google.com> | 2018-09-18 22:33:38 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-09-18 22:37:39 -0700 |
| commit | 50125bf0d8ee9f47b868211f62cb545c5701a032 (patch) | |
| tree | 6c65f7bf4af58772bfb1a8cf1941904436514020 /tensorflow/compiler/jit | |
| parent | d7cc73c300b12e7c02507bcfaff146d6c4955f19 (diff) | |
Add xla.compile(), a low-level API that compiles graph with XLA.
PiperOrigin-RevId: 213574904
Diffstat (limited to 'tensorflow/compiler/jit')
| -rw-r--r-- | tensorflow/compiler/jit/BUILD | 10 | ||||
| -rw-r--r-- | tensorflow/compiler/jit/ops/BUILD | 8 |
2 files changed, 18 insertions, 0 deletions
diff --git a/tensorflow/compiler/jit/BUILD b/tensorflow/compiler/jit/BUILD index 1001c57f3d..9544c365b7 100644 --- a/tensorflow/compiler/jit/BUILD +++ b/tensorflow/compiler/jit/BUILD @@ -26,6 +26,7 @@ load("//tensorflow:tensorflow.bzl", "tf_cc_test") load("@local_config_cuda//cuda:build_defs.bzl", "if_cuda") load("@local_config_cuda//cuda:build_defs.bzl", "if_cuda_is_configured") load("//tensorflow:tensorflow.bzl", "tf_cuda_cc_test") +load("//tensorflow:tensorflow.bzl", "tf_custom_op_py_library") # Target that bundles up the XLA CPU and GPU JIT devices. cc_library( @@ -628,6 +629,15 @@ tf_cc_test( ], ) +tf_custom_op_py_library( + name = "xla_ops_py", + kernels = ["//tensorflow/compiler/jit/ops:xla_ops"], + visibility = [ + ":friends", + ], + deps = ["//tensorflow/compiler/jit/ops:xla_ops_wrapper_py"], +) + # This target can be used by XLA device plugins to prevent circular dependencies, and provides access to all of the required headers for building a device library. cc_header_only_library( name = "xla_jit_headers_lib", diff --git a/tensorflow/compiler/jit/ops/BUILD b/tensorflow/compiler/jit/ops/BUILD index 13804c6a05..f72224545b 100644 --- a/tensorflow/compiler/jit/ops/BUILD +++ b/tensorflow/compiler/jit/ops/BUILD @@ -4,9 +4,17 @@ package( default_visibility = ["//tensorflow/compiler/tf2xla:internal"], ) +load("//tensorflow:tensorflow.bzl", "tf_gen_op_wrapper_py") + cc_library( name = "xla_ops", srcs = ["xla_ops.cc"], deps = ["//tensorflow/core:framework"], alwayslink = 1, ) + +tf_gen_op_wrapper_py( + name = "xla_ops_wrapper_py", + out = "xla_ops.py", + deps = ["//tensorflow/compiler/jit/ops:xla_ops"], +) |