53 lines
2.3 KiB
C++
53 lines
2.3 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_KERNELS_INTERNAL_TRANSPOSE_UTILS_H_
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#define TENSORFLOW_LITE_KERNELS_INTERNAL_TRANSPOSE_UTILS_H_
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#include "tensorflow/lite/kernels/internal/types.h"
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namespace tflite {
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namespace transpose_utils {
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// IsTranspose2DApplicable returns true if the given perm can be lowered to a
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// 2D transpose op. If possible, it copies the lowered dimension counts to the
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// given dim0 and dim1 pointers.
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bool IsTranspose2DApplicable(const TransposeParams& params,
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const RuntimeShape& input_shape, int* dim0,
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int* dim1);
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// RemoveOneSizeDimensions removes one size dimensions in the given input/output
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// shapes and adjusts the parameter values for transpose op.
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void RemoveOneSizeDimensions(RuntimeShape* input_shape,
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RuntimeShape* output_shape,
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TransposeParams* params);
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// Flatten finds the dimensions that can be flatten, shrinks the given shapes
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// and the given perm parameter to reflect the non-flatten dimensions, and
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// returns the total size of the non-flatten dimensions.
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//
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// E.g, in perm [0, 1, 3, 2] case, the first two dimensions can be flatten and
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// it returns |Dim Size(2)| x |Dim Size(3)|.
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size_t Flatten(const RuntimeShape& input_shape,
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const RuntimeShape& output_shape, const TransposeParams& params,
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RuntimeShape* non_flatten_input_shape,
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RuntimeShape* non_flatten_output_shape,
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TransposeParams* non_flatten_params);
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} // namespace transpose_utils
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} // namespace tflite
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#endif // TENSORFLOW_LITE_KERNELS_INTERNAL_TRANSPOSE_UTILS_H_
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