wehub-resource-sync
89 lines
2.2 KiB
C++
89 lines
2.2 KiB
C++
/* Copyright 2024 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include "tensorflow/compiler/mlir/python/mlir.h"
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#include <string>
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#include <gtest/gtest.h>
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#include "absl/strings/match.h"
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#include "absl/strings/string_view.h"
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#include "tensorflow/c/safe_ptr.h"
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#include "tensorflow/c/tf_status.h"
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namespace tensorflow {
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namespace {
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class MlirTest : public ::testing::Test {};
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TEST_F(MlirTest, ImportGraphDef) {
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tensorflow::Safe_TF_StatusPtr status = tensorflow::make_safe(TF_NewStatus());
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std::string input_graphdef = R"pb(
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node {
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name: "Const"
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op: "Const"
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attr {
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key: "dtype"
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value { type: DT_INT32 }
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}
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attr {
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key: "value"
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value {
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tensor {
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dtype: DT_INT32
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tensor_shape { dim { size: 1 } }
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int_val: 1
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}
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}
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}
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}
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node {
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name: "Const_1"
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op: "Const"
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attr {
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key: "dtype"
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value { type: DT_INT32 }
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}
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attr {
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key: "value"
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value {
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tensor {
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dtype: DT_INT32
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tensor_shape { dim { size: 1 } }
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int_val: 2
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}
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}
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}
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}
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node {
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name: "Add"
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op: "Add"
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input: "Const"
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input: "Const_1"
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attr {
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key: "T"
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value { type: DT_INT32 }
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}
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}
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)pb";
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std::string result = ImportGraphDef(input_graphdef, /*pass_pipeline=*/"",
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/*show_debug_info=*/false, status.get());
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EXPECT_EQ(TF_GetCode(status.get()), TF_OK);
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EXPECT_TRUE(absl::StrContains(result, "tf.Const"));
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}
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} // namespace
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} // namespace tensorflow
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