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authorGravatar Yunxing Dai <yunxing@google.com>2018-10-08 21:18:36 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-10-08 21:23:03 -0700
commit375c109659d2d0e6265447dffdeb460693b3cccf (patch)
treea6f09b6472cff1ade7fc91c1ff0d5e3f473da774 /tensorflow/compiler/xla/service/hlo_input_output_alias_config.h
parentd58712b7fc8de0e1f87fe2ea5221bc3c85230ed3 (diff)
[XLA] Introduce input/output alias config.
- This CL intruduces input/output alias config in HLO module that allows any HLO pass to configure it. Once the alias_config is set, each backend needs to follow the contract during execution time to make sure the input and output are indeed aliased. - Copy insertion / buffer assignment and alias analysis has been updated to correctly honor the config and avoid any possible liveness interference. PiperOrigin-RevId: 216299501
Diffstat (limited to 'tensorflow/compiler/xla/service/hlo_input_output_alias_config.h')
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1 files changed, 101 insertions, 0 deletions
diff --git a/tensorflow/compiler/xla/service/hlo_input_output_alias_config.h b/tensorflow/compiler/xla/service/hlo_input_output_alias_config.h
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+++ b/tensorflow/compiler/xla/service/hlo_input_output_alias_config.h
@@ -0,0 +1,101 @@
+/* Copyright 2018 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.
+==============================================================================*/
+
+#ifndef TENSORFLOW_COMPILER_XLA_SERVICE_HLO_INPUT_OUTPUT_ALIAS_CONFIG_H_
+#define TENSORFLOW_COMPILER_XLA_SERVICE_HLO_INPUT_OUTPUT_ALIAS_CONFIG_H_
+
+#include <utility>
+
+#include "absl/types/optional.h"
+#include "tensorflow/compiler/xla/service/hlo.pb.h"
+#include "tensorflow/compiler/xla/shape_tree.h"
+#include "tensorflow/compiler/xla/shape_util.h"
+
+namespace xla {
+
+class HloModule;
+
+// This class specifies the alias map from output index to parameter number and
+// parameter index in the entry computation.
+class HloInputOutputAliasConfig {
+ public:
+ HloInputOutputAliasConfig() = default;
+
+ explicit HloInputOutputAliasConfig(Shape shape) : alias_(shape) {}
+
+ virtual ~HloInputOutputAliasConfig() = default;
+
+ // Sets up alias config from `output_index` to `param_index` at
+ // `param_number`.
+ Status SetUpAlias(const ShapeIndex& output_index, int64 param_number,
+ const ShapeIndex& param_index);
+
+ // Returns true if the given parameter is aliased with one of the output
+ // buffers.
+ bool ParameterHasAlias(int64 param_number) const;
+
+ // (De)Serializes an HloInputOutoutAliasConfig to/from an
+ // HloInputOutoutAliasProto.
+ HloInputOutputAliasProto ToProto() const;
+
+ static StatusOr<HloInputOutputAliasConfig> CreateFromProto(
+ const HloModule* module, const HloInputOutputAliasProto& proto);
+
+ // Returns the output index that the given parameter and parameter index is
+ // aliased with. A nullopt is returned if there is no output that is aliased
+ // with the parameter number and index.
+ absl::optional<ShapeIndex> GetAliasedOutput(
+ int64 param_number, const ShapeIndex& param_index) const;
+
+ // Returns the number of parameter and index of the parameter buffer that the
+ // given output buffer index is aliased with. A nullopt is returned if there
+ // is no parameter is aliased with the specific output.
+ absl::optional<std::pair<int64, ShapeIndex>> GetAliasedParameter(
+ const ShapeIndex& output_index) const;
+
+ using AliasFn =
+ std::function<void(const ShapeIndex& output_index, int64 param_number,
+ const ShapeIndex& param_index)>;
+
+ // Iterates through each aliased output and input.
+ void ForEachAlias(AliasFn fn) const;
+
+ using AliasFnWithStatus =
+ std::function<Status(const ShapeIndex& output_index, int64 param_number,
+ const ShapeIndex& param_index)>;
+
+ // Verifies that the given config is valid for the given module.
+ // Specifically, the config's input and output should be in-bound and size of
+ // the aliased buffers should match.
+ Status Verify(const HloModule& module) const;
+
+ Status ForEachAliasWithStatus(AliasFnWithStatus fn) const;
+
+ string ToString() const;
+
+ private:
+ // A ShapeTree which indicates the list of buffers that's expected to be
+ // aliased. The key on this shape tree represents the output index. The value
+ // is a pair of parameter number and index into the buffer. If the value is
+ // nullopt, it means there is no parameter aliasing for this output.
+ ShapeTree<absl::optional<std::pair<int64, ShapeIndex>>> alias_;
+};
+
+std::ostream& operator<<(std::ostream& out,
+ const HloInputOutputAliasConfig& config);
+
+} // namespace xla
+
+#endif // TENSORFLOW_COMPILER_XLA_SERVICE_HLO_INPUT_OUTPUT_ALIAS_CONFIG_H_