58 lines
2.1 KiB
C++
58 lines
2.1 KiB
C++
/* Copyright 2017 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/tf2xla/sharding_util.h"
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#include "tensorflow/core/lib/core/status_test_util.h"
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#include "tensorflow/core/platform/test.h"
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namespace tensorflow {
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TEST(CoreUtilTest, ParseShardingFromDevice) {
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Graph graph(OpRegistry::Global());
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auto core_from_sharding =
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[](absl::optional<xla::OpSharding> sharding) -> int64 {
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if (sharding.has_value() &&
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sharding.value().type() == xla::OpSharding::MAXIMAL) {
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return sharding.value().tile_assignment_devices(0);
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} else {
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return -1;
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}
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};
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auto parse_status = ParseShardingFromDevice("", 1);
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TF_EXPECT_OK(parse_status.status());
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EXPECT_EQ(-1, core_from_sharding(parse_status.ValueOrDie()));
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parse_status = ParseShardingFromDevice("", 100);
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TF_EXPECT_OK(parse_status.status());
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EXPECT_EQ(-1, core_from_sharding(parse_status.ValueOrDie()));
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parse_status = ParseShardingFromDevice("/device:A_REPLICATED_CORE:-1", 100);
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EXPECT_FALSE(parse_status.ok());
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parse_status = ParseShardingFromDevice("/device:A_REPLICATED_CORE:55", 100);
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TF_EXPECT_OK(parse_status.status());
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EXPECT_EQ(55, core_from_sharding(parse_status.ValueOrDie()));
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parse_status = ParseShardingFromDevice("/device:A_REPLICATED_CORE:100", 100);
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EXPECT_FALSE(parse_status.ok());
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parse_status = ParseShardingFromDevice("/cpu:0", 100);
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TF_EXPECT_OK(parse_status.status());
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EXPECT_EQ(-1, core_from_sharding(parse_status.ValueOrDie()));
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}
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} // namespace tensorflow
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