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-rw-r--r--tensorflow/compiler/tf2xla/type_util.cc68
1 files changed, 68 insertions, 0 deletions
diff --git a/tensorflow/compiler/tf2xla/type_util.cc b/tensorflow/compiler/tf2xla/type_util.cc
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+++ b/tensorflow/compiler/tf2xla/type_util.cc
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+/* 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.
+==============================================================================*/
+
+#include "tensorflow/compiler/tf2xla/type_util.h"
+
+#include "tensorflow/core/framework/types.h"
+#include "tensorflow/core/lib/core/errors.h"
+
+namespace tensorflow {
+
+Status DataTypeToPrimitiveType(DataType data_type, xla::PrimitiveType* type) {
+ switch (data_type) {
+ case tensorflow::DT_BOOL:
+ *type = xla::PRED;
+ return Status::OK();
+ case tensorflow::DT_INT8:
+ *type = xla::S8;
+ return Status::OK();
+ case tensorflow::DT_INT16:
+ *type = xla::S16;
+ return Status::OK();
+ case tensorflow::DT_INT32:
+ *type = xla::S32;
+ return Status::OK();
+ case tensorflow::DT_INT64:
+ *type = xla::S64;
+ return Status::OK();
+ case tensorflow::DT_UINT8:
+ *type = xla::U8;
+ return Status::OK();
+ case tensorflow::DT_UINT16:
+ *type = xla::U16;
+ return Status::OK();
+ case tensorflow::DT_HALF:
+ *type = xla::F16;
+ return Status::OK();
+ case tensorflow::DT_FLOAT:
+ *type = xla::F32;
+ return Status::OK();
+ case tensorflow::DT_DOUBLE:
+ *type = xla::F64;
+ return Status::OK();
+ case tensorflow::DT_QUINT8:
+ *type = xla::U8;
+ return Status::OK();
+ case tensorflow::DT_QINT32:
+ *type = xla::S32;
+ return Status::OK();
+ default:
+ return errors::InvalidArgument(
+ "Unsupported type in DataTypeToPrimitiveType ",
+ DataTypeString(data_type));
+ }
+}
+
+} // namespace tensorflow