75 lines
2.2 KiB
C++
75 lines
2.2 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_LITE_TOOLS_VERSIONING_OP_VERSION_H_
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#define TENSORFLOW_LITE_TOOLS_VERSIONING_OP_VERSION_H_
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#include <vector>
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#include "tensorflow/lite/schema/mutable/schema_generated.h"
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namespace tflite {
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// OpSignature contains operator parameters for version functions.
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typedef struct {
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BuiltinOperator op;
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std::vector<TensorType> input_types;
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std::vector<TensorType> output_types;
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union {
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struct {
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int32_t dilation_w_factor;
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int32_t dilation_h_factor;
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} depthwise_conv_2d;
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struct {
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bool narrow_range;
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} fakequant;
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struct {
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bool keep_num_dims;
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FullyConnectedOptionsWeightsFormat weights_format;
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// TODO(b/156530611): Make this global when more ops support sparse
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// computation.
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bool sparse_weight;
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} fully_connected;
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struct {
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float input1_scale;
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float input2_scale;
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float output_scale;
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} mul;
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struct {
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LSTMKernelType kernel_type;
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} lstm;
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struct {
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bool half_pixel_centers;
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bool align_corners;
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} resize;
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struct {
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int32_t num_dims;
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} single_input_op;
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struct {
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int32_t num_dims;
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bool need_broadcast;
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} broadcast;
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} options;
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} OpSignature;
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// Returns version of builtin ops by the given signature.
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int GetBuiltinOperatorVersion(const OpSignature& op_sig);
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// Update operator's version of the given TFL flatbuffer model.
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void UpdateOpVersion(uint8_t* model_buffer_pointer);
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} // namespace tflite
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#endif // TENSORFLOW_LITE_TOOLS_VERSIONING_OP_VERSION_H_
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