8502c9e5c8
Experimental pruning flag now prunes the ops that come before the new input tensors. input-arrays flag requires the usage of pruning since it is unclear what should happen to these ops if they are not pruned. Rearranged tflite::FlatBufferToMlir interface to put these flags together and gave them optional values. Also, moving output-arrays flag from flatbuffer_translate.cc to flatbuffer_import.cc, since it only relates to flatbuffer_import. PiperOrigin-RevId: 297006319 Change-Id: Ia4557bf0cb0a44c964f5bf732bdbb76b5bef917d
45 lines
2.1 KiB
C++
45 lines
2.1 KiB
C++
/* Copyright 2019 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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#ifndef TENSORFLOW_COMPILER_MLIR_LITE_FLATBUFFER_IMPORT_H_
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#define TENSORFLOW_COMPILER_MLIR_LITE_FLATBUFFER_IMPORT_H_
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#include "absl/strings/string_view.h"
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#include "mlir/IR/Location.h" // TF:llvm-project
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#include "mlir/IR/MLIRContext.h" // TF:llvm-project
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#include "mlir/IR/Module.h" // TF:llvm-project
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namespace tflite {
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// Converts a TFLite flatbuffer stored in `buffer` to a MLIR module
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// The buffer must live for the duration of the function call,
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// The caller receives ownership of the module.
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// `base_loc` is used for error reporting and debug info.
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// If ordered_output_arrays is not empty, then the imported mlir function will
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// only return nodes in ordered_output_arrays in the same order. Returns nullptr
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// on failure, and more specific errors will be emitted via the context.
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// If `use_external_constant` is true, it will create `tfl.external_const`
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// instead of `tfl.const`.
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// If `experimental_prune_unreachable_nodes_unconditionally` is true, nodes that
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// are not ancestors of the output nodes will be pruned.
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mlir::OwningModuleRef FlatBufferToMlir(
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absl::string_view buffer, mlir::MLIRContext* context,
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mlir::Location base_loc, bool use_external_constant = false,
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const std::vector<std::string>& ordered_input_arrays = {},
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const std::vector<std::string>& ordered_output_arrays = {},
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bool experimental_prune_unreachable_nodes_unconditionally = false);
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} // namespace tflite
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#endif // TENSORFLOW_COMPILER_MLIR_LITE_FLATBUFFER_IMPORT_H_
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