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删除了多余的文件
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# RT-Thread building script for bridge
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import os
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from building import *
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cwd = GetCurrentDir()
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objs = []
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list = os.listdir(cwd)
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if GetDepend('PKG_USING_TENSORFLOWLITEMICRO'):
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for d in list:
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path = os.path.join(cwd, d)
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if os.path.isfile(os.path.join(path, 'SConscript')):
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objs = objs + SConscript(os.path.join(d, 'SConscript'))
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Return('objs')
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/* Copyright 2015 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_CORE_PUBLIC_VERSION_H_
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#define TENSORFLOW_CORE_PUBLIC_VERSION_H_
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// TensorFlow uses semantic versioning, see http://semver.org/.
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// Also update tensorflow/tensorflow.bzl and
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// tensorflow/tools/pip_package/setup.py
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#define TF_MAJOR_VERSION 2
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#define TF_MINOR_VERSION 4
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#define TF_PATCH_VERSION 0
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// TF_VERSION_SUFFIX is non-empty for pre-releases (e.g. "-alpha", "-alpha.1",
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// "-beta", "-rc", "-rc.1")
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#define TF_VERSION_SUFFIX ""
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#define TF_STR_HELPER(x) #x
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#define TF_STR(x) TF_STR_HELPER(x)
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// e.g. "0.5.0" or "0.6.0-alpha".
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#define TF_VERSION_STRING \
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(TF_STR(TF_MAJOR_VERSION) "." TF_STR(TF_MINOR_VERSION) "." TF_STR( \
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TF_PATCH_VERSION) TF_VERSION_SUFFIX)
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// GraphDef compatibility versions (the versions field in graph.proto).
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//
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// Each graph has producer and min_consumer versions, and each
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// consumer has its own version and a min_producer. In addition, graphs can
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// mark specific consumer versions as bad (to prevent bugs from executing).
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// A consumer will execute a graph if the consumer's version is at least the
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// graph's min_consumer, the graph's producer version is at least the consumer's
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// min_producer, and the consumer version isn't specifically disallowed by the
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// graph.
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//
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// By default, newly created graphs have producer version TF_GRAPH_DEF_VERSION
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// min_consumer TF_GRAPH_DEF_MIN_CONSUMER, and no other bad consumer versions.
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//
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// Version history:
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//
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// 0. Graphs created before GraphDef versioning
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// 1. First real version (2dec2015)
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// 2. adjust_contrast only takes float, doesn't perform clamping (11dec2015)
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// 3. Remove TileGrad, since it was equivalent to reduce_sum (30dec2015)
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// 4. When support for this version is removed, we can safely make AttrValue
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// parsing more strict with respect to empty list values (see
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// 111635679, 7jan2016).
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// 5. Graphs are wholly-validated during Session::Create() (7jan2016).
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// 6. TensorFlow is scalar strict within Google (27jan2016).
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// 7. Remove TopK in favor of TopKV2 (5feb2016).
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// 8. Replace RandomCrop from C++ with pure Python (5feb2016).
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// 9. Deprecate batch_norm_with_global_normalization (16feb2016).
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// 10. Deprecate conv3d_backprop_{filter,input} (10jun2016).
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// 11. Deprecate {batch}_self_adjoint_eig (3aug2016).
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// 12. Graph consumers understand the node_def field of FunctionDef (22aug2016).
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// 13. Deprecate multiple batch linear algebra ops (9sep2016).
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// 14. Deprecate batch_matrix_* ops. (10sep2016).
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// 15. Deprecate batch_fft_* ops. (14sep2016).
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// 16. Deprecate tensor_array (v1) ops in favor of v2 (10nov2016).
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// 17. Deprecate inv (11nov2016).
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// 17. Expose reverse_v2 (10nov2016)
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// 18. Add VariableV2 (30nov2016)
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// 19. Deprecated ops created by models moved out of core SkipGram, NegTrain.
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// (08dec2016)
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// 20. Catch all version 1.0 changes to Python API generation. SplitV is now
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// used for tf.split, ReverseV2 is now used by tf.reverse, ConcatV2 is
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// now used by tf.concat. Graphs use flooring
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// division and mod semantics. TensorArrayV3. (12dec2016)
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// Also considered the version for when it is required for reduction
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// ops' indices to be scalar or vector, and not higher rank.
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// Some earlier graph def versions allowed this.
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// 21. Dropped FunctionDef.Node support, switched to node_def introduced
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// in version 12. (11jan2017)
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// 22. Placeholder now can specify and enforce scalar and partial
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// shapes, particularly when restoring a graph from GraphDef
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// produced at version 22 or later. (04/10/2016)
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// 23. Remove NonMaxSuppression in favor of NonMaxSuppressionV2.
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// 24. Deprecate lookup ops (v1) ops in favor of v2 (30may2017)
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// 25. Deprecate stack (v1) ops in favor of v2 (2017/6/15).
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// 25. Deprecate RandomPoisson (v1) ops in favor of v2 (2017/10/25).
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// 26. Add a bool 'stripped_default_attrs' to MetaInfoDef indicating
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// whether default-valued attrs have been stripped from the nodes in the
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// GraphDef. (7dec2017)
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// 27. Deprecate TensorArray ops v2 in favor of v3 and deprecated io_ops
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// deprecated in favor of V2 ops. (2018/01/23)
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// 28. Deprecate MatrixExponential op in favor of Python implementation.
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// (2018/08/21).
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// (2019/02/15). Added `control_ret` field to FunctionDef proto, and
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// `control_output` field to OpDef proto.
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// 29. Deprecate StatefulStandardNormal op in favor of StatefulStandardNormalV2.
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// (2019/03/25).
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// (2019/04/17). Added `arg_attr` field to FunctionDefProto.
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// 30. (2019/05/09) First date based GraphDef version. GraphDef
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// versions advance by 1 each day after this point.
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#define TF_GRAPH_DEF_VERSION_MIN_PRODUCER 0
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#define TF_GRAPH_DEF_VERSION_MIN_CONSUMER 0
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#define TF_GRAPH_DEF_VERSION 485 // Updated: 2020/8/6
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// Checkpoint compatibility versions (the versions field in SavedSliceMeta).
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//
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// The checkpoint versions have the same semantics as GraphDef versions, but the
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// numbering scheme is separate. We have no plans to ever deprecate checkpoint
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// versions, but it's good to have this in place in case we ever need to.
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//
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// Version history:
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//
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// 0. Checkpoints saved before checkpoint versioning.
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// 1. First real version (10feb2015).
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#define TF_CHECKPOINT_VERSION_MIN_PRODUCER 0
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#define TF_CHECKPOINT_VERSION_MIN_CONSUMER 0
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#define TF_CHECKPOINT_VERSION 1
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/// Version query functions (defined in generated version_info.cc)
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// Host compiler version (declared elsewhere to be __VERSION__)
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extern const char* tf_compiler_version();
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// The git commit designator when tensorflow was built
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// If no git repository, this will be "internal".
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extern const char* tf_git_version();
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// Value of the _GLIBCXX_USE_CXX11_ABI flag, or 0 if it's not set.
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extern int tf_cxx11_abi_flag();
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// Returns 1 if build is monolithic, or 0 otherwise.
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extern int tf_monolithic_build();
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#endif // TENSORFLOW_CORE_PUBLIC_VERSION_H_
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# RT-Thread building script for bridge
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import os
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from building import *
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cwd = GetCurrentDir()
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objs = []
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list = os.listdir(cwd)
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if GetDepend('PKG_USING_TENSORFLOWLITEMICRO'):
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for d in list:
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path = os.path.join(cwd, d)
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if os.path.isfile(os.path.join(path, 'SConscript')):
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objs = objs + SConscript(os.path.join(d, 'SConscript'))
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Return('objs')
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from building import *
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import os
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cwd = GetCurrentDir()
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src = Glob('*.c') + Glob('*.cc')
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#.
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root = str(Dir('#'))
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packages = os.path.join(root, 'packages')
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file_list = os.listdir(packages)
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for f in file_list:
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if(f.split('-')[0] == 'TensorflowLiteMicro'):
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tflm_pkg = os.path.join(packages, f)
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break
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#./third_party/flatbuffer/include
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flatbuffer = os.path.join(tflm_pkg, "third_party/flatbuffers/include")
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#./third_party/gemmlowp
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gemmlowp = os.path.join(tflm_pkg, "third_party/gemmlowp")
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#./third_party/kissfft
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kissfft = os.path.join(tflm_pkg, "third_party/kissfft")
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#./third_party/ruy
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ruy = os.path.join(tflm_pkg, "third_party/ruy")
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CPPPATH = [tflm_pkg, flatbuffer, gemmlowp, kissfft, ruy]
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group = DefineGroup('lite', src, depend = ['PKG_USING_TENSORFLOWLITEMICRO'], CPPPATH = CPPPATH)
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Return('group')

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