# Placeholder for internal Python strict library compatibility macro.
package(
licenses = ["notice"], # Apache 2.0
)
py_library(
name = "text_embedder",
srcs = [
"text_embedder.py",
],
visibility = ["//tensorflow_lite_support:users"],
deps = [
"//tensorflow_lite_support/python/task/core:base_options",
"//tensorflow_lite_support/python/task/processor/proto:embedding_options_pb2",
"//tensorflow_lite_support/python/task/processor/proto:embedding_pb2",
"//tensorflow_lite_support/python/task/text/pybinds:_pywrap_text_embedder",
],
)
py_library(
name = "text_searcher",
srcs = [
"text_searcher.py",
],
visibility = ["//visibility:public"],
deps = [
"//tensorflow_lite_support/python/task/core:base_options",
"//tensorflow_lite_support/python/task/processor/proto:embedding_options_pb2",
"//tensorflow_lite_support/python/task/processor/proto:search_options_pb2",
"//tensorflow_lite_support/python/task/processor/proto:search_result_pb2",
"//tensorflow_lite_support/python/task/text/pybinds:_pywrap_text_searcher",
],
)
py_library(
name = "nl_classifier",
srcs = [
"nl_classifier.py",
],
visibility = ["//tensorflow_lite_support:users"],
deps = [
"//tensorflow_lite_support/python/task/core:base_options",
"//tensorflow_lite_support/python/task/processor/proto:classification_options_pb2",
"//tensorflow_lite_support/python/task/processor/proto:classifications_pb2",
"//tensorflow_lite_support/python/task/text/pybinds:_pywrap_nl_classifier",
],
)
py_library(
name = "bert_nl_classifier",
srcs = [
"bert_nl_classifier.py",
],
visibility = ["//tensorflow_lite_support:users"],
deps = [
"//tensorflow_lite_support/python/task/core:base_options",
"//tensorflow_lite_support/python/task/processor/proto:classifications_pb2",
"//tensorflow_lite_support/python/task/text/pybinds:_pywrap_bert_nl_classifier",
],
)
py_library(
name = "bert_question_answerer",
srcs = [
"bert_question_answerer.py",
],
visibility = ["//visibility:public"],
deps = [
"//tensorflow_lite_support/python/task/core:base_options",
"//tensorflow_lite_support/python/task/processor/proto:qa_answers_pb2",
"//tensorflow_lite_support/python/task/text/pybinds:_pywrap_bert_question_answerer",
],
)
py_library(
name = "bert_clu_annotator",
srcs = [
"bert_clu_annotator.py",
],
visibility = ["//visibility:public"],
deps = [
"//tensorflow_lite_support/python/task/core:base_options",
"//tensorflow_lite_support/python/task/processor/proto:clu_annotation_options_pb2",
"//tensorflow_lite_support/python/task/processor/proto:clu_pb2",
"//tensorflow_lite_support/python/task/text/pybinds:_pywrap_bert_clu_annotator",
],
)