AI-TensorFlow-Libtensorflow
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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
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
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Licensed under the Apache License, Version 2.0 (the "License");
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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.
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
__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
=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
=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
=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
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
=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
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
=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
=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
=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
=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
=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
=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
=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
=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
=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
=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
=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
=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
=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
=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
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
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
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
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
/* 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
/* 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
=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
$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
>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
=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
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
$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
=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
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
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
( run in 1.935 second using v1.01-cache-2.11-cpan-49f99fa48dc )