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CONTRIBUTING  view on Meta::CPAN 

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<<<=== COPYRIGHT CONTRIBUTIONS ===>>>
 
[ BEGIN, APTECH FAMILY COPYRIGHT ASSIGNMENT AGREEMENT ]
 
By contributing to this repository, you agree that any and all such Contributions and derivative works thereof shall immediately become part of the APTech Family of software and documentation, and you accept and agree to the following legally-binding...
 
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"Team APTech" is defined as all duly-authorized contributors to the APTech Family, including You after making Your first Contribution to the APTech Family under the terms of this Agreement.
 
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"Contribution" shall mean any original work of authorship, including any changes or additions or enhancements to an existing work, that is intentionally submitted by You to this repository for inclusion in, or documentation of, any of the products or...
 
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[ END, APTECH FAMILY COPYRIGHT ASSIGNMENT AGREEMENT ]
 
 
<<<=== LEGAL OVERVIEW ===>>>
 
All APTech Family software and documentation is legally copyrighted by Auto-Parallel Technologies, Inc.
 
To maintain the legal integrity and defensibility of the APTech Family of software and documentation, all contributors to the APTech Family must assign copyright ownership to Auto-Parallel Technologies, Inc. under the terms of the APTech Family Copyr...
 
This is the same strategy used by the Free Software Foundation for many GNU software projects, as explained below:
 
Why The FSF Gets Copyright Assignments From Contributors
By Professor Eben Moglen, Columbia University Law School
Copyright © 2001, 2008, 2009, 2014 Free Software Foundation, Inc.
The quoted text below is not modified, and is licensed under a Creative Commons Attribution-NoDerivs 3.0 United States License.
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<<<=== COMMITMENT TO FREE & OPEN SOURCE SOFTWARE ===>>>
 
Auto-Parallel Technologies, Inc. is committed to maintaining the free-and-open-source software (FOSS) basis of the APTech Family.
 
If your APTech Family contribution is accepted and merged into an official APTech Family source repository, then your contribution is automatically published online with FOSS licensing, currently the Apache License Version 2.0.
 
 
<<<=== EMPLOYER COPYRIGHT DISCLAIMER AGREEMENT ===>>>
 
The file named EMPLOYERS.pdf contains the Employer Copyright Disclaimer Agreement.  If you are employed or work as an independent contractor, and either your job involves computer programming or you have executed an agreement giving your employer or ...
 
 
<<<=== OTHER CONTRIBUTORS ===>>>

CONTRIBUTING  view on Meta::CPAN 

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6.  E-Mail Address
7.  Names of APTech Family Files Modified (or "none")
8.  Names of APTech Family Files Created (or "none")
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10. Does Your Job Involve Computer Programming? (or "not applicable")
11. Does Your Job Involve an IP Ownership Agreement? (or "not applicable")
12. Name(s) & Employer(s) of Additional Contributors (or "none")
 
Snail Mail Address:
 
Auto-Parallel Technologies, Inc.
[ CONTACT VIA E-MAIL BELOW FOR STREET ADDRESS ]
Cedar Park, TX, USA, 78613
 
E-Mail Address (Remove "NOSPAM." Before Sending):
 
william.braswell at NOSPAM.autoparallel.com
 
THANKS FOR CONTRIBUTING!  :-)

COPYRIGHT  view on Meta::CPAN 

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AI::TensorFlow::Libtensorflow is Copyright © 2022 Auto-Parallel Technologies, Inc.
All rights reserved.
 
AI::TensorFlow::Libtensorflow is part of the APTech Family of software and documentation.
 
This program is free software; you can redistribute it and/or modify
it under the terms of the Apache License Version 2.0.
 
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

LICENSE  view on Meta::CPAN 

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This software is Copyright (c) 2022 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
                                 Apache License
                           Version 2.0, January 2004
                        http://www.apache.org/licenses/
 
   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION

LICENSE  view on Meta::CPAN 

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   To apply the Apache License to your work, attach the following
   boilerplate notice, with the fields enclosed by brackets "[]"
   replaced with your own identifying information. (Don't include
   the brackets!)  The text should be enclosed in the appropriate
   comment syntax for the file format. We also recommend that a
   file or class name and description of purpose be included on the
   same "printed page" as the copyright notice for easier
   identification within third-party archives.
 
Copyright 2022 Auto-Parallel Technologies, Inc
 
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.

README  view on Meta::CPAN 

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This archive contains the distribution AI-TensorFlow-Libtensorflow,
version 0.0.7:
 
  Bindings for Libtensorflow deep learning library
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
 
This README file was generated by Dist::Zilla::Plugin::Readme v6.030.

dist.ini  view on Meta::CPAN 

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name    = AI-TensorFlow-Libtensorflow
version = 0.0.7
author  = Zakariyya Mughal <zmughal@cpan.org>
; This is licensed under the same license as TensorFlow which is
; Apache_2_0.  See <https://github.com/tensorflow/tensorflow/blob/v2.10.0/LICENSE>.
license = Apache_2_0
copyright_holder = Auto-Parallel Technologies, Inc.
copyright_year   = 2022-2023
 
[lib]
lib = maint/inc
 
; in maint/inc/
[=maint::inc::PreloadPodWeaver]
;; For ::Lib
; authordep Alien::Libtensorflow
; authordep FFI::Platypus

lib/AI/TensorFlow/Libtensorflow.pm  view on Meta::CPAN 

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__END__
 
=pod
 
=encoding UTF-8
 
=head1 NAME
 
AI::TensorFlow::Libtensorflow - Bindings for Libtensorflow deep learning library
 
=for html <a href="https://mybinder.org/v2/gh/EntropyOrg/perl-AI-TensorFlow-Libtensorflow/master"><img src="https://mybinder.org/badge_logo.svg" alt="Binder" /></a>
<a href="https://quay.io/repository/entropyorg/perl-ai-tensorflow-libtensorflow"><img src="https://img.shields.io/badge/quay.io-images-red.svg" alt="quay.io images" /></a>
 
=head1 SYNOPSIS
 
  use aliased 'AI::TensorFlow::Libtensorflow' => 'Libtensorflow';
 
=head1 DESCRIPTION
 
The C<libtensorflow> library provides low-level C bindings
for TensorFlow with a stable ABI.

lib/AI/TensorFlow/Libtensorflow.pm  view on Meta::CPAN 

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=back
 
B<C API>: L<< C<TF_Version>|AI::TensorFlow::Libtensorflow::Manual::CAPI/TF_Version >>
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/ApiDefMap.pm  view on Meta::CPAN 

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=head2 DESTROY
 
B<C API>: L<< C<TF_DeleteApiDefMap>|AI::TensorFlow::Libtensorflow::Manual::CAPI/TF_DeleteApiDefMap >>
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Buffer.pm  view on Meta::CPAN 

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=head2 DESTROY
 
B<C API>: L<< C<TF_DeleteBuffer>|AI::TensorFlow::Libtensorflow::Manual::CAPI/TF_DeleteBuffer >>
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/DataType.pm  view on Meta::CPAN 

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  use AI::TensorFlow::Libtensorflow::DataType qw(DOUBLE);
  is "@{[ DOUBLE ]}", 'DOUBLE', 'Stringifies';
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/DeviceList.pm  view on Meta::CPAN 

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=head2 DESTROY
 
B<C API>: L<< C<TF_DeleteDeviceList>|AI::TensorFlow::Libtensorflow::Manual::CAPI/TF_DeleteDeviceList >>
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Eager/Context.pm  view on Meta::CPAN 

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B<C API>: L<< C<TFE_DeleteContext>|AI::TensorFlow::Libtensorflow::Manual::CAPI/TFE_DeleteContext >>
 
1;
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Eager/ContextOptions.pm  view on Meta::CPAN 

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=head2 DESTROY
 
B<C API>: L<< C<TFE_DeleteContextOptions>|AI::TensorFlow::Libtensorflow::Manual::CAPI/TFE_DeleteContextOptions >>
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Graph.pm  view on Meta::CPAN 

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=head2 DESTROY
 
B<C API>: L<< C<TF_DeleteGraph>|AI::TensorFlow::Libtensorflow::Manual::CAPI/TF_DeleteGraph >>
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/ImportGraphDefOptions.pm  view on Meta::CPAN 

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=head2 DESTROY
 
B<C API>: L<< C<TF_DeleteImportGraphDefOptions>|AI::TensorFlow::Libtensorflow::Manual::CAPI/TF_DeleteImportGraphDefOptions >>
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/ImportGraphDefResults.pm  view on Meta::CPAN 

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=head2 DESTROY
 
B<C API>: L<< C<TF_DeleteImportGraphDefResults>|AI::TensorFlow::Libtensorflow::Manual::CAPI/TF_DeleteImportGraphDefResults >>
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Input.pm  view on Meta::CPAN 

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=head1 NAME
 
AI::TensorFlow::Libtensorflow::Input - Input of operation as (operation, index) pair
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Lib.pm  view on Meta::CPAN 

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=head3 TFE_Context
 
L<AI::TensorFlow::Libtensorflow::Eager::Context>
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Lib/FFIType/TFPtrPtrLenSizeArrayRefScalar.pm  view on Meta::CPAN 

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=head1 NAME
 
AI::TensorFlow::Libtensorflow::Lib::FFIType::TFPtrPtrLenSizeArrayRefScalar - Type to hold string list as void** strings, size_t* lengths, int num_items
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Lib/FFIType/TFPtrSizeScalar.pm  view on Meta::CPAN 

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=head1 NAME
 
AI::TensorFlow::Libtensorflow::Lib::FFIType::TFPtrSizeScalar - Type to hold pointer and size in a scalar (input only)
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Lib/FFIType/TFPtrSizeScalarRef.pm  view on Meta::CPAN 

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=head1 NAME
 
AI::TensorFlow::Libtensorflow::Lib::FFIType::TFPtrSizeScalarRef - Type to hold pointer and size in a scalar reference
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Lib/FFIType/Variant/PackableArrayRef.pm  view on Meta::CPAN 

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=head1 NAME
 
AI::TensorFlow::Libtensorflow::Lib::FFIType::Variant::PackableArrayRef - ArrayRef to pack()'ed scalar argument with size argument (as int)
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Lib/FFIType/Variant/PackableMaybeArrayRef.pm  view on Meta::CPAN 

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=head1 NAME
 
AI::TensorFlow::Libtensorflow::Lib::FFIType::Variant::PackableMaybeArrayRef - Maybe[ArrayRef] to pack()'ed scalar argument with size argument (as int) (size is -1 if undef)
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Lib/FFIType/Variant/RecordArrayRef.pm  view on Meta::CPAN 

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=head1 NAME
 
AI::TensorFlow::Libtensorflow::Lib::FFIType::Variant::RecordArrayRef - Turn FFI::Platypus::Record into packed array (+ size)?
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Lib/Types.pm  view on Meta::CPAN 

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=head2 TFInput
 
Type for class L<AI::TensorFlow::Libtensorflow::Input>
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Lib/_Alloc.pm  view on Meta::CPAN 

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=head1 NAME
 
AI::TensorFlow::Libtensorflow::Lib::_Alloc - [private] Allocation utilities
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Manual.pod  view on Meta::CPAN 

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the documentation of individual methods.
 
=back
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Manual/CAPI.pod  view on Meta::CPAN 

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  TF_CAPI_EXPORT extern void TF_DeleteServer(TF_Server* server);
 
=head2 TF_RegisterLogListener
 
=over 2
 
  Register a listener method that processes printed messages.
   
  If any listeners are registered, the print operator will call all listeners
  with the printed messages and immediately return without writing to the
  logs.
 
=back
 
  /* From <tensorflow/c/c_api.h> */
  TF_CAPI_EXPORT extern void TF_RegisterLogListener(
      void (*listener)(const char*));
 
=head2 TF_RegisterFilesystemPlugin
 
=over 2

lib/AI/TensorFlow/Libtensorflow/Manual/CAPI.pod  view on Meta::CPAN 

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  TF_CAPI_EXPORT extern void* TF_GetSymbolFromLibrary(void* handle,
                                                      const char* symbol_name,
                                                      TF_Status* status);
 
=head2 TF_Log
 
=over 2
 
=back
 
  /* From <tensorflow/c/logging.h> */
  TF_CAPI_EXPORT extern void TF_Log(TF_LogLevel level, const char* fmt, ...);
 
=head2 TF_VLog
 
=over 2
 
=back
 
  /* From <tensorflow/c/logging.h> */
  TF_CAPI_EXPORT extern void TF_VLog(int level, const char* fmt, ...);
 
=head2 TF_DVLog
 
=over 2
 
=back
 
  /* From <tensorflow/c/logging.h> */
  TF_CAPI_EXPORT extern void TF_DVLog(int level, const char* fmt, ...);
 
=head2 TF_NewKernelBuilder
 
=over 2
 
  Allocates a new kernel builder and returns a pointer to it.
   
  If non-null, TensorFlow will call create_func when it needs to instantiate
  the kernel. The pointer returned by create_func will be passed to

lib/AI/TensorFlow/Libtensorflow/Manual/CAPI.pod  view on Meta::CPAN 

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  TF_CAPI_EXPORT extern void TFE_OpAttrsSerialize(const TFE_OpAttrs* attrs,
                                                  TF_Buffer* buf,
                                                  TF_Status* status);
 
=head2 TFE_OpSetAttrValueProto
 
=over 2
 
  Set an op's attribute from a serialized AttrValue protocol buffer.
   
  Analogous to TF_SetAttrValueProto for building graph operations.
 
=back
 
  /* From <tensorflow/c/eager/c_api_experimental.h> */
  TF_CAPI_EXPORT extern void TFE_OpSetAttrValueProto(const TFE_Op* op,
                                                     const char* attr_name,
                                                     const void* proto,
                                                     size_t proto_len,
                                                     TF_Status* status);

lib/AI/TensorFlow/Libtensorflow/Manual/CAPI.pod  view on Meta::CPAN 

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  /* From <tensorflow/c/eager/c_api_experimental.h> */
  TF_CAPI_EXPORT void TFE_ContextSetSoftDevicePlacement(TFE_Context* ctx,
                                                        unsigned char enable,
                                                        TF_Status* status);
 
=head2 TFE_ContextSetLogDevicePlacement
 
=over 2
 
  Configure device placement policy logging for the eager executor. Note this
  policy is applied to any subsequent op executions.
 
=back
 
  /* From <tensorflow/c/eager/c_api_experimental.h> */
  TF_CAPI_EXPORT void TFE_ContextSetLogDevicePlacement(TFE_Context* ctx,
                                                       unsigned char enable,
                                                       TF_Status* status);
 
=head2 TFE_ContextSetRunEagerOpAsFunction

lib/AI/TensorFlow/Libtensorflow/Manual/CAPI.pod  view on Meta::CPAN 

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  /* From <tensorflow/c/eager/c_api_experimental.h> */
  TF_CAPI_EXPORT extern void TFE_GetExecutedOpNames(TFE_Context* ctx,
                                                    TF_Buffer* buf,
                                                    TF_Status* status);
 
=head2 TFE_SetLogicalCpuDevices
 
=over 2
 
  Set logical devices to the context's device manager.
  If logical devices are already configured at context initialization
  through TFE_ContextOptions, this method should not be called.
 
=back
 
  /* From <tensorflow/c/eager/c_api_experimental.h> */
  TF_CAPI_EXPORT extern void TFE_SetLogicalCpuDevices(TFE_Context* ctx,
                                                      int num_cpus,
                                                      const char* prefix,
                                                      TF_Status* status);

lib/AI/TensorFlow/Libtensorflow/Manual/CAPI.pod  view on Meta::CPAN 

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=head1 SEE ALSO
 
L<https://github.com/tensorflow/tensorflow/tree/master/tensorflow/c>
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Manual/GPU.pod  view on Meta::CPAN 

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      $ENV{CUDA_VISIBLE_DEVICES} = '0';
      require AI::TensorFlow::Libtensorflow;
  }
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Manual/Notebook/InferenceUsingTFHubCenterNetObjDetect.pod  view on Meta::CPAN 

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>sgx;
 
my $label_count = List::Util::max keys %labels_map;
 
say "We have a label count of $label_count. These labels include: ",
    join ", ", List::Util::head( 5, @labels_map{ sort keys %labels_map } );
 
my @tags = ( 'serve' );
 
if( File::Which::which('saved_model_cli')) {
    local $ENV{TF_CPP_MIN_LOG_LEVEL} = 3; # quiet the TensorFlow logger for the following command
    system(qw(saved_model_cli show),
        qw(--dir)           => $model_base,
        qw(--tag_set)       => join(',', @tags),
        qw(--signature_def) => 'serving_default'
    ) == 0 or die "Could not run saved_model_cli";
} else {
    say "Install the tensorflow Python package to get the `saved_model_cli` command.";
}
 
my $opt = AI::TensorFlow::Libtensorflow::SessionOptions->New;

lib/AI/TensorFlow/Libtensorflow/Manual/Notebook/InferenceUsingTFHubCenterNetObjDetect.pod  view on Meta::CPAN 

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=head2 Load the model and session
 
We define the tag set C<[ 'serve' ]> which we will use to load the model.
 
  my @tags = ( 'serve' );
 
We can examine what computations are contained in the graph in terms of the names of the inputs and outputs of an operation found in the graph by running C<saved_model_cli>.
 
  if( File::Which::which('saved_model_cli')) {
      local $ENV{TF_CPP_MIN_LOG_LEVEL} = 3; # quiet the TensorFlow logger for the following command
      system(qw(saved_model_cli show),
          qw(--dir)           => $model_base,
          qw(--tag_set)       => join(',', @tags),
          qw(--signature_def) => 'serving_default'
      ) == 0 or die "Could not run saved_model_cli";
  } else {
      say "Install the tensorflow Python package to get the `saved_model_cli` command.";
  }
 
The above C<saved_model_cli> output shows that the model input is at C<serving_default_input_tensor:0> which means the operation named C<serving_default_input_tensor> at index C<0> and there are multiple outputs with different shapes.

lib/AI/TensorFlow/Libtensorflow/Manual/Notebook/InferenceUsingTFHubCenterNetObjDetect.pod  view on Meta::CPAN 

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  requires 'strict';
  requires 'utf8';
  requires 'warnings';
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut

lib/AI/TensorFlow/Libtensorflow/Manual/Notebook/InferenceUsingTFHubEnformerGeneExprPredModel.pod  view on Meta::CPAN 

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$t->mark('END');
$t->report();
 
my $predictions_p = FloatTFTensorToPDL($predictions)->slice(',,(0)');
say $predictions_p->info; undef;
 
my @tracks = (
    [ 'DNASE:CD14-positive monocyte female' =>   41 => $predictions_p->slice('(41)') ],
    [ 'DNASE:keratinocyte female'           =>   42 => $predictions_p->slice('(42)') ],
    [ 'CHIP:H3K27ac:keratinocyte female'    =>  706 => $predictions_p->slice('(706)')],
    [ 'CAGE:Keratinocyte - epidermal'       => 4799 => log10(1 + $predictions_p->slice('(4799)')) ],
);
 
use PDL::Graphics::Gnuplot;
 
my $plot_output_path = 'enformer-target-interval-tracks.png';
my $gp = gpwin('pngcairo', font => ",10", output => $plot_output_path, size => [10,2. * @tracks], aa => 2 );
 
$gp->multiplot( layout => [1, scalar @tracks], title => $target_interval );
 
$gp->options(

lib/AI/TensorFlow/Libtensorflow/Manual/Notebook/InferenceUsingTFHubEnformerGeneExprPredModel.pod  view on Meta::CPAN 

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=pod
 
=encoding UTF-8
 
=head1 NAME
 
AI::TensorFlow::Libtensorflow::Manual::Notebook::InferenceUsingTFHubEnformerGeneExprPredModel - Using TensorFlow to do gene expression prediction using a pre-trained model
 
=head1 SYNOPSIS
 
The following tutorial is based on the L<Enformer usage notebook|https://github.com/deepmind/deepmind-research/blob/master/enformer/enformer-usage.ipynb>. It uses a pre-trained model based on a transformer architecture trained as described in Avsec e...
 
Running the code requires an Internet connection to download the model (from Google servers) and datasets (from GitHub, UCSC, and NIH).
 
Some of this code is identical to that of C<InferenceUsingTFHubMobileNetV2Model> notebook. Please look there for explanation for that code. As stated there, this will later be wrapped up into a high-level library to hide the details behind an API.
 
B<NOTE>: If running this model, please be aware that
 
=over
 
=item *

lib/AI/TensorFlow/Libtensorflow/Manual/Notebook/InferenceUsingTFHubEnformerGeneExprPredModel.pod  view on Meta::CPAN 

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  PDL: Float D [5313,896]
 
=head2 Plot predicted tracks
 
These predictions can be plotted 
 
  my @tracks = (
      [ 'DNASE:CD14-positive monocyte female' =>   41 => $predictions_p->slice('(41)') ],
      [ 'DNASE:keratinocyte female'           =>   42 => $predictions_p->slice('(42)') ],
      [ 'CHIP:H3K27ac:keratinocyte female'    =>  706 => $predictions_p->slice('(706)')],
      [ 'CAGE:Keratinocyte - epidermal'       => 4799 => log10(1 + $predictions_p->slice('(4799)')) ],
  );
   
  use PDL::Graphics::Gnuplot;
   
  my $plot_output_path = 'enformer-target-interval-tracks.png';
  my $gp = gpwin('pngcairo', font => ",10", output => $plot_output_path, size => [10,2. * @tracks], aa => 2 );
   
  $gp->multiplot( layout => [1, scalar @tracks], title => $target_interval );
   
  $gp->options(

lib/AI/TensorFlow/Libtensorflow/Manual/Notebook/InferenceUsingTFHubEnformerGeneExprPredModel.pod  view on Meta::CPAN 

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  requires 'strict';
  requires 'utf8';
  requires 'warnings';
 
=head1 AUTHOR
 
Zakariyya Mughal <zmughal@cpan.org>
 
=head1 COPYRIGHT AND LICENSE
 
This software is Copyright (c) 2022-2023 by Auto-Parallel Technologies, Inc.
 
This is free software, licensed under:
 
  The Apache License, Version 2.0, January 2004
 
=cut



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