AI-TensorFlow-Libtensorflow
view release on metacpan or search on metacpan
maint/inc/PreloadPodWeaver.pm
maint/process-capi.pl
maint/process-notebook.pl
perlcritic.rc
t/01_hello_tf.t
t/02_load_graph.t
t/03_create_tftensor.t
t/04_allocate_tftensor.t
t/05_session_run.t
t/AI/TensorFlow/Libtensorflow.t
t/lib/TF_TestQuiet.pm
t/lib/TF_Utils.pm
t/models/README
t/models/graph.pb
t/upstream/CAPI/001_Version.t
t/upstream/CAPI/002_Status.t
t/upstream/CAPI/003_Tensor.t
t/upstream/CAPI/004_MalformedTensor.t
t/upstream/CAPI/005_AllocateTensor.t
t/upstream/CAPI/006_MaybeMove.t
t/upstream/CAPI/007_LibraryLoadFunctions.t
t/upstream/CAPI/022_Session_Min_CPU.t
t/upstream/CAPI/023_Session_Min_XLA_CPU.t
t/upstream/CAPI/024_Session_Min_GPU.t
t/upstream/CAPI/025_Session_Min_XLA_GPU.t
t/upstream/CAPI/026_SessionPRun.t
t/upstream/CAPI/027_ShapeInferenceError.t
t/upstream/CAPI/028_GetOpDef.t
t/upstream/CAPI/029_SavedModel.t
t/upstream/CAPI/030_SavedModelNullArgsAreValid.t
t/upstream/CAPI/031_DeletingNullPointerIsSafe.t
t/upstream/CAPI/032_TestBitcastFrom_Reshape.t
t/upstream/CAPI/033_TestFromProto.t
t/upstream/CAPI/034_TestTensorAligned.t
t/upstream/CAPI/035_TestTensorIsNotAligned.t
t/upstream/CAPI/036_MessageBufferConversion.t
t/upstream/CAPI/037_TestTensorNonScalarBytesAllocateDelete.t
t/upstream/CAPI/TEMPLATE
t/upstream/tensorflow/cc/saved_model/testdata/half_plus_two/00000123/assets/foo.txt
t/upstream/tensorflow/cc/saved_model/testdata/half_plus_two/00000123/saved_model.pb
t/upstream/tensorflow/cc/saved_model/testdata/half_plus_two/00000123/variables/variables.data-00000-of-00001
t/upstream/tensorflow/cc/saved_model/testdata/half_plus_two/00000123/variables/variables.index
weaver.ini
xt/author/critic.t
xt/author/pod-linkcheck.t
xt/author/pod-snippets.t
"requires" : {
"ExtUtils::MakeMaker" : "0",
"perl" : "5.014"
}
},
"develop" : {
"requires" : {
"Moose" : "0",
"Moose::Role" : "0",
"Pod::Simple::Search" : "0",
"Test::More" : "0.88",
"Test::Perl::Critic" : "0",
"Test::Pod::LinkCheck::Lite" : "0",
"Test::Pod::Snippets" : "0",
"Test::Pod::Snippets::Parser" : "0",
"With::Roles" : "0"
},
"suggests" : {
"CLI::Osprey" : "0",
"Data::Printer" : "0",
"File::Find::Rule" : "0",
"Function::Parameters" : "0",
"Hook::LexWrap" : "0",
"List::SomeUtils" : "0",
"Module::Runtime" : "0",
"Data::Printer" : "0",
"PDL" : "0"
}
},
"test" : {
"requires" : {
"Data::Dumper" : "0",
"PDL" : "0",
"PDL::Core" : "0",
"Path::Tiny" : "0",
"Test2::V0" : "0",
"Test::More" : "0",
"aliased" : "0",
"lib" : "0",
"perl" : "5.014"
}
}
},
"release_status" : "stable",
"resources" : {
"homepage" : "https://github.com/EntropyOrg/perl-AI-TensorFlow-Libtensorflow",
"repository" : {
---
abstract: 'Bindings for Libtensorflow deep learning library'
author:
- 'Zakariyya Mughal <zmughal@cpan.org>'
build_requires:
Data::Dumper: '0'
PDL: '0'
PDL::Core: '0'
Path::Tiny: '0'
Test2::V0: '0'
Test::More: '0'
aliased: '0'
lib: '0'
perl: '5.014'
configure_requires:
ExtUtils::MakeMaker: '0'
perl: '5.014'
dynamic_config: 0
generated_by: 'Dist::Zilla version 6.030, CPAN::Meta::Converter version 2.150010'
license: apache
meta-spec:
Makefile.PL view on Meta::CPAN
"namespace::autoclean" => 0,
"overload" => 0,
"strict" => 0,
"warnings" => 0
},
"TEST_REQUIRES" => {
"Data::Dumper" => 0,
"PDL" => 0,
"PDL::Core" => 0,
"Path::Tiny" => 0,
"Test2::V0" => 0,
"Test::More" => 0,
"aliased" => 0,
"lib" => 0
},
"VERSION" => "0.0.7",
"test" => {
"TESTS" => "t/*.t t/AI/TensorFlow/*.t t/upstream/CAPI/*.t"
}
);
Makefile.PL view on Meta::CPAN
"FFI::Platypus::Type::PtrObject" => 0,
"Feature::Compat::Defer" => 0,
"List::Util" => 0,
"Module::Runtime" => 0,
"PDL" => 0,
"PDL::Core" => 0,
"Package::Variant" => 0,
"Path::Tiny" => 0,
"Sub::Delete" => 0,
"Sub::Quote" => 0,
"Test2::V0" => 0,
"Test::More" => 0,
"Type::Library" => "0.008",
"Type::Utils" => 0,
"Types::Common" => 0,
"Types::Standard" => 0,
"aliased" => 0,
"base" => 0,
"constant" => 0,
"feature" => 0,
"lib" => 0,
"namespace::autoclean" => 0,
-remove = License
GatherDir.exclude_filename = EMPLOYERS.pdf
;; Jupyter Notebook
GatherDir.exclude_match[0] = ^notebook/.*
GatherDir.exclude_match[1] = ^notebook/.*\.ipynb
GatherDir.exclude_match[2] = ^notebook/.ipynb_checkpoints
GatherDir.exclude_match[3] = ^docker/
; [PodWeaver]
; authordep Pod::Elemental::Transformer::List
; authordep Pod::Weaver::Section::AllowOverride
[RunExtraTests]
;; For xt/author/pod-linkcheck.t
; authordep Test::Pod::LinkCheck::Lite
;; For xt/author/pod-snippets.t
; authordep Test::Pod::Snippets
; authordep Pod::Simple::Search
; authordep With::Roles
[Test::Perl::Critic]
; authordep Perl::Critic::Community
[Prereqs / RuntimeRequires]
; Needs Perl v5.14 for Feature::Compat::Defer
perl = 5.014
FFI::Platypus = 2.00
FFI::C = 0.12
FFI::CheckLib = 0
FFI::Platypus::Type::Enum = 0
FFI::Platypus::Type::PtrObject = 0
lib/AI/TensorFlow/Libtensorflow/Manual/Notebook/InferenceUsingTFHubEnformerGeneExprPredModel.pod view on Meta::CPAN
my $encoded = $encoder->index( $p->dummy(0) );
return $encoded;
}
####
{
say "Testing one-hot encoding:\n";
my $onehot_test_seq = "ACGTNtgcan";
my $test_encoded = one_hot_dna( $onehot_test_seq );
$SHOW_ENCODER = 0;
say "One-hot encoding of sequence '$onehot_test_seq' is:";
say $test_encoded->info, $test_encoded;
}
lib/AI/TensorFlow/Libtensorflow/Manual/Notebook/InferenceUsingTFHubEnformerGeneExprPredModel.pod view on Meta::CPAN
use overload '""' => \&_op_stringify;
sub _op_stringify { sprintf "%s:%s", $_[0]->seq_id // "(no sequence)", $_[0]->to_FTstring }
}
#####
{
say "Testing interval resizing:\n";
sub _debug_resize {
my ($interval, $to, $msg) = @_;
my $resized_interval = $interval->resize($to);
die "Wrong interval size for $interval --($to)--> $resized_interval"
unless $resized_interval->length == $to;
say sprintf "Interval: %s -> %s, length %2d : %s",
$interval,
$resized_interval, $resized_interval->length,
$msg;
}
for my $interval_spec ( [4, 8], [5, 8], [5, 9], [6, 9]) {
my ($start, $end) = @$interval_spec;
my $test_interval = Interval->new( -seq_id => 'chr11', -start => $start, -end => $end );
say sprintf "Testing interval %s with length %d", $test_interval, $test_interval->length;
say "-----";
for(0..5) {
my $base = $test_interval->length;
my $to = $base + $_;
_debug_resize $test_interval, $to, "$base -> $to (+ $_)";
}
say "";
}
}
lib/AI/TensorFlow/Libtensorflow/Manual/Notebook/InferenceUsingTFHubEnformerGeneExprPredModel.pod view on Meta::CPAN
sprintf "%s...%s (length %d)", uc substr($seq, 0, $n), uc substr($seq, -$n), length $seq;
} else {
sprintf "%s (length %d)", uc $seq, length $seq;
}
}
####
{
say "Testing sequence extraction:";
say "1 base: ", seq_info
extract_sequence( $hg_db,
Interval->new( -seq_id => 'chr11',
-start => 35_082_742 + 1,
-end => 35_082_742 + 1 ) );
say "3 bases: ", seq_info
extract_sequence( $hg_db,
Interval->new( -seq_id => 'chr11',
lib/AI/TensorFlow/Libtensorflow/Manual/Notebook/InferenceUsingTFHubEnformerGeneExprPredModel.pod view on Meta::CPAN
my $encoded = $encoder->index( $p->dummy(0) );
return $encoded;
}
####
{
say "Testing one-hot encoding:\n";
my $onehot_test_seq = "ACGTNtgcan";
my $test_encoded = one_hot_dna( $onehot_test_seq );
$SHOW_ENCODER = 0;
say "One-hot encoding of sequence '$onehot_test_seq' is:";
say $test_encoded->info, $test_encoded;
}
B<STREAM (STDOUT)>:
Testing one-hot encoding:
Encoder is
PDL: Float D [5,4]
[
[0 1 0 0 0]
[0 0 1 0 0]
[0 0 0 1 0]
[0 0 0 0 1]
]
lib/AI/TensorFlow/Libtensorflow/Manual/Notebook/InferenceUsingTFHubEnformerGeneExprPredModel.pod view on Meta::CPAN
use overload '""' => \&_op_stringify;
sub _op_stringify { sprintf "%s:%s", $_[0]->seq_id // "(no sequence)", $_[0]->to_FTstring }
}
#####
{
say "Testing interval resizing:\n";
sub _debug_resize {
my ($interval, $to, $msg) = @_;
my $resized_interval = $interval->resize($to);
die "Wrong interval size for $interval --($to)--> $resized_interval"
unless $resized_interval->length == $to;
say sprintf "Interval: %s -> %s, length %2d : %s",
$interval,
$resized_interval, $resized_interval->length,
$msg;
}
for my $interval_spec ( [4, 8], [5, 8], [5, 9], [6, 9]) {
my ($start, $end) = @$interval_spec;
my $test_interval = Interval->new( -seq_id => 'chr11', -start => $start, -end => $end );
say sprintf "Testing interval %s with length %d", $test_interval, $test_interval->length;
say "-----";
for(0..5) {
my $base = $test_interval->length;
my $to = $base + $_;
_debug_resize $test_interval, $to, "$base -> $to (+ $_)";
}
say "";
}
}
undef;
B<STREAM (STDOUT)>:
Testing interval resizing:
Testing interval chr11:4..8 with length 5
-----
Interval: chr11:4..8 -> chr11:4..8, length 5 : 5 -> 5 (+ 0)
Interval: chr11:4..8 -> chr11:3..8, length 6 : 5 -> 6 (+ 1)
Interval: chr11:4..8 -> chr11:3..9, length 7 : 5 -> 7 (+ 2)
Interval: chr11:4..8 -> chr11:2..9, length 8 : 5 -> 8 (+ 3)
Interval: chr11:4..8 -> chr11:2..10, length 9 : 5 -> 9 (+ 4)
Interval: chr11:4..8 -> chr11:1..10, length 10 : 5 -> 10 (+ 5)
Testing interval chr11:5..8 with length 4
-----
Interval: chr11:5..8 -> chr11:5..8, length 4 : 4 -> 4 (+ 0)
Interval: chr11:5..8 -> chr11:5..9, length 5 : 4 -> 5 (+ 1)
Interval: chr11:5..8 -> chr11:4..9, length 6 : 4 -> 6 (+ 2)
Interval: chr11:5..8 -> chr11:4..10, length 7 : 4 -> 7 (+ 3)
Interval: chr11:5..8 -> chr11:3..10, length 8 : 4 -> 8 (+ 4)
Interval: chr11:5..8 -> chr11:3..11, length 9 : 4 -> 9 (+ 5)
Testing interval chr11:5..9 with length 5
-----
Interval: chr11:5..9 -> chr11:5..9, length 5 : 5 -> 5 (+ 0)
Interval: chr11:5..9 -> chr11:4..9, length 6 : 5 -> 6 (+ 1)
Interval: chr11:5..9 -> chr11:4..10, length 7 : 5 -> 7 (+ 2)
Interval: chr11:5..9 -> chr11:3..10, length 8 : 5 -> 8 (+ 3)
Interval: chr11:5..9 -> chr11:3..11, length 9 : 5 -> 9 (+ 4)
Interval: chr11:5..9 -> chr11:2..11, length 10 : 5 -> 10 (+ 5)
Testing interval chr11:6..9 with length 4
-----
Interval: chr11:6..9 -> chr11:6..9, length 4 : 4 -> 4 (+ 0)
Interval: chr11:6..9 -> chr11:6..10, length 5 : 4 -> 5 (+ 1)
Interval: chr11:6..9 -> chr11:5..10, length 6 : 4 -> 6 (+ 2)
Interval: chr11:6..9 -> chr11:5..11, length 7 : 4 -> 7 (+ 3)
Interval: chr11:6..9 -> chr11:4..11, length 8 : 4 -> 8 (+ 4)
Interval: chr11:6..9 -> chr11:4..12, length 9 : 4 -> 9 (+ 5)
lib/AI/TensorFlow/Libtensorflow/Manual/Notebook/InferenceUsingTFHubEnformerGeneExprPredModel.pod view on Meta::CPAN
sprintf "%s...%s (length %d)", uc substr($seq, 0, $n), uc substr($seq, -$n), length $seq;
} else {
sprintf "%s (length %d)", uc $seq, length $seq;
}
}
####
{
say "Testing sequence extraction:";
say "1 base: ", seq_info
extract_sequence( $hg_db,
Interval->new( -seq_id => 'chr11',
-start => 35_082_742 + 1,
-end => 35_082_742 + 1 ) );
say "3 bases: ", seq_info
extract_sequence( $hg_db,
Interval->new( -seq_id => 'chr11',
lib/AI/TensorFlow/Libtensorflow/Manual/Notebook/InferenceUsingTFHubEnformerGeneExprPredModel.pod view on Meta::CPAN
say "chr11 is of length ", $hg_db->length('chr11');
say "chr11 bases: ", seq_info
extract_sequence( $hg_db,
Interval->new( -seq_id => 'chr11',
-start => 1,
-end => $hg_db->length('chr11') )->resize( $hg_db->length('chr11') ) );
}
B<STREAM (STDOUT)>:
Testing sequence extraction:
1 base: G (length 1)
3 bases: NNN (length 3)
5 bases: NNNNN (length 5)
chr11 is of length 135086622
chr11 bases: NNNNNNNNNN...NNNNNNNNNN (length 135086622)
B<RESULT>:
1
perlcritic.rc view on Meta::CPAN
theme = ( core + pbp + security + maintenance ) * bugs
include = CodeLayout::ProhibitTrailingWhitespace CodeLayout::RequireConsistentNewlines
[-Subroutines::ProhibitSubroutinePrototypes]
# alternate that works better with dzil ::PkgVersion
[-TestingAndDebugging::RequireUseStrict]
[-TestingAndDebugging::RequireUseWarnings]
[Community::StrictWarnings]
extra_importers = Test2::V0
# vim: ft=dosini
t/01_hello_tf.t view on Meta::CPAN
#!/usr/bin/env perl
use Test2::V0;
use lib 't/lib';
use TF_TestQuiet;
use AI::TensorFlow::Libtensorflow;
subtest "Get version of Tensorflow" => sub {
my $version = AI::TensorFlow::Libtensorflow->Version;
note $version;
pass;
};
done_testing;
t/02_load_graph.t view on Meta::CPAN
#!/usr/bin/env perl
use strict;
use warnings;
use Test::More tests => 1;
use lib 't/lib';
use TF_TestQuiet;
use AI::TensorFlow::Libtensorflow;
use Path::Tiny;
use lib 't/lib';
subtest "Load graph" => sub {
my $model_file = path("t/models/graph.pb");
my $ffi = FFI::Platypus->new( api => 1 );
my $data = $model_file->slurp_raw;
t/03_create_tftensor.t view on Meta::CPAN
#!/usr/bin/env perl
use Test::More tests => 1;
use strict;
use warnings;
use lib 't/lib';
use TF_TestQuiet;
use TF_Utils;
use AI::TensorFlow::Libtensorflow;
use PDL;
subtest "Create a TFTensor" => sub {
my $p_data = sequence(float, 1, 5, 12);
my $t = TF_Utils::FloatPDLToTFTensor($p_data);
is $t->NumDims, 3, '3D TFTensor';
t/04_allocate_tftensor.t view on Meta::CPAN
#!/usr/bin/env perl
use Test::More tests => 1;
use strict;
use warnings;
use lib 't/lib';
use TF_TestQuiet;
use AI::TensorFlow::Libtensorflow;
use AI::TensorFlow::Libtensorflow::DataType qw(FLOAT);
use List::Util qw(product);
use PDL;
use PDL::Core ':Internal';
use FFI::Platypus::Memory;
use FFI::Platypus::Buffer qw(scalar_to_pointer);
subtest "Allocate a TFTensor" => sub {
t/05_session_run.t view on Meta::CPAN
#!/usr/bin/env perl
use Test2::V0 ':DEFAULT', '!float';
use lib 't/lib';
use TF_TestQuiet;
use TF_Utils;
use PDL::Core;
use AI::TensorFlow::Libtensorflow;
use AI::TensorFlow::Libtensorflow::DataType qw(FLOAT);
use aliased 'AI::TensorFlow::Libtensorflow::Output';
use aliased 'AI::TensorFlow::Libtensorflow::Tensor';
use FFI::Platypus::Buffer qw(scalar_to_pointer);
use FFI::Platypus::Memory qw(memcpy);
t/AI/TensorFlow/Libtensorflow.t view on Meta::CPAN
#!/usr/bin/env perl
use Test::More tests => 1;
use strict;
use warnings;
use lib 't/lib';
use TF_TestQuiet;
use AI::TensorFlow::Libtensorflow;
pass;
done_testing;
t/lib/TF_TestQuiet.pm view on Meta::CPAN
package TF_TestQuiet;
use strict;
use warnings;
sub import {
if( $ENV{HARNESS_ACTIVE} && ! ( $ENV{AUTHOR_TESTING} || $ENV{RELEASE_TESTING} ) ) {
$ENV{TF_CPP_MIN_LOG_LEVEL} = 3;
}
}
t/lib/TF_Utils.pm view on Meta::CPAN
use AI::TensorFlow::Libtensorflow;
use AI::TensorFlow::Libtensorflow::Lib;
use AI::TensorFlow::Libtensorflow::DataType qw(FLOAT INT32 INT8);
use Path::Tiny;
use List::Util qw(first);
use PDL::Core ':Internal';
use FFI::Platypus::Buffer;
use Test2::V0;
my $ffi = AI::TensorFlow::Libtensorflow::Lib->ffi;
sub ScalarStringTensor {
my ($str, $status) = @_;
#my $tensor = AI::TensorFlow::Libtensorflow::Tensor->_Allocate(
#AI::TensorFlow::Libtensorflow::DType::STRING,
#\@dims, $ndims,
#$data_size_bytes,
#);
t/lib/TF_Utils.pm view on Meta::CPAN
sub MinWithDevice {
my ($l, $r, $graph, $device, $s, $name) = @_;
$name ||= 'min';
return TF_Utils::BinaryOpHelper(
'Min', $l, $r, $graph, $s, $name, $device, 1
)
}
sub RunMinTest {
my (%args) = @_;
my $device = delete $args{device} || "";
my $use_XLA = delete $args{use_XLA} || 0;
my $ctx = Test2::API::context();
my $s = AI::TensorFlow::Libtensorflow::Status->New;
my $graph = AI::TensorFlow::Libtensorflow::Graph->New;
$ctx->note('Make a placeholder operation.');
my $feed = TF_Utils::Placeholder($graph, $s);
TF_Utils::AssertStatusOK($s);
$ctx->note('Make a constant operation with the scalar "0", for axis.');
my $one = TF_Utils::ScalarConst($graph, $s, 'scalar', INT32, 0);
t/upstream/CAPI/001_Version.t view on Meta::CPAN
#!/usr/bin/env perl
use Test2::V0;
use lib 't/lib';
use TF_TestQuiet;
use aliased 'AI::TensorFlow::Libtensorflow';
subtest "(CAPI, Version)" => sub {
note 'Version: ', Libtensorflow->Version;
isnt Libtensorflow->Version, '';
};
done_testing;
t/upstream/CAPI/002_Status.t view on Meta::CPAN
#!/usr/bin/env perl
use Test2::V0;
use lib 't/lib';
use TF_TestQuiet;
use aliased 'AI::TensorFlow::Libtensorflow';
use aliased 'AI::TensorFlow::Libtensorflow::Status';
subtest "(CAPI, Status)" => sub {
my $s = Status->New;
is $s->GetCode, AI::TensorFlow::Libtensorflow::Status::OK, 'OK code';
is $s->Message, '', 'empty message';
note 'Set status to CANCELLED';
$s->SetStatus('CANCELLED', 'cancel');
t/upstream/CAPI/003_Tensor.t view on Meta::CPAN
#!/usr/bin/env perl
use Test2::V0;
use lib 't/lib';
use TF_TestQuiet;
use aliased 'AI::TensorFlow::Libtensorflow';
use aliased 'AI::TensorFlow::Libtensorflow::Lib';
use aliased 'AI::TensorFlow::Libtensorflow::Tensor';
use AI::TensorFlow::Libtensorflow::DataType qw(FLOAT);
use FFI::Platypus::Buffer qw(window scalar_to_pointer);
use FFI::Platypus::Memory qw(memset free);
use AI::TensorFlow::Libtensorflow::Lib::_Alloc;
subtest "(CAPI, Tensor)" => sub {
my $n = 6;
t/upstream/CAPI/004_MalformedTensor.t view on Meta::CPAN
#!/usr/bin/env perl
use Test2::V0;
use lib 't/lib';
use TF_TestQuiet;
use aliased 'AI::TensorFlow::Libtensorflow';
use aliased 'AI::TensorFlow::Libtensorflow::Tensor';
use AI::TensorFlow::Libtensorflow::DataType qw(FLOAT);
subtest "(CAPI, MalformedTensor)" => sub {
my $noop_dealloc = sub {};
my $t = Tensor->New(FLOAT, [], \undef, $noop_dealloc);
ok ! defined $t, 'No data passed in so no tensor created';
};
t/upstream/CAPI/005_AllocateTensor.t view on Meta::CPAN
#!/usr/bin/env perl
use Test2::V0;
use lib 't/lib';
use TF_TestQuiet;
use aliased 'AI::TensorFlow::Libtensorflow';
use aliased 'AI::TensorFlow::Libtensorflow::Tensor';
use AI::TensorFlow::Libtensorflow::DataType qw(FLOAT);
subtest "(CAPI, AllocateTensor)" => sub {
my $num_bytes = 6 * FLOAT->Size;
my @dims = (2, 3);
my $t = Tensor->Allocate(FLOAT, \@dims, $num_bytes);
cmp_ok $t->Type, '==', FLOAT, 'a FLOAT TFTensor';
t/upstream/CAPI/006_MaybeMove.t view on Meta::CPAN
#!/usr/bin/env perl
use Test2::V0;
use lib 't/lib';
use TF_TestQuiet;
use aliased 'AI::TensorFlow::Libtensorflow';
use aliased 'AI::TensorFlow::Libtensorflow::Tensor';
use AI::TensorFlow::Libtensorflow::DataType qw(FLOAT);
use FFI::Platypus::Buffer qw(window scalar_to_pointer);
use FFI::Platypus::Memory qw(memset free);
use AI::TensorFlow::Libtensorflow::Lib::_Alloc;
subtest "(CAPI, MaybeMove)" => sub {
my $num_bytes = 6 * FLOAT->Size;
window( my $values,
t/upstream/CAPI/007_LibraryLoadFunctions.t view on Meta::CPAN
#!/usr/bin/env perl
use Test2::V0;
use lib 't/lib';
use TF_TestQuiet;
use aliased 'AI::TensorFlow::Libtensorflow';
subtest "(CAPI, LibraryLoadFunctions)" => sub {
my $todo = todo 'Test not implemented at this time. No library built to load.';
pass;
};
done_testing;
t/upstream/CAPI/008_TensorEncodeDecodeStrings.t view on Meta::CPAN
#!/usr/bin/env perl
use Test2::V0;
use lib 't/lib';
use TF_TestQuiet;
use aliased 'AI::TensorFlow::Libtensorflow';
subtest "(CAPI, TensorEncodeDecodeStrings)" => sub {
my $todo = todo 'Test not implemented at this time. Upstream test uses C++ tensorflow::Tensor.';
pass;
};
done_testing;
t/upstream/CAPI/009_SessionOptions.t view on Meta::CPAN
#!/usr/bin/env perl
use Test2::V0;
use lib 't/lib';
use TF_TestQuiet;
use aliased 'AI::TensorFlow::Libtensorflow';
use aliased 'AI::TensorFlow::Libtensorflow::SessionOptions';
subtest "(CAPI, SessionOptions)" => sub {
my $opt = SessionOptions->New;
ok $opt, 'created session options';
};
done_testing;
t/upstream/CAPI/010_DeprecatedSession.t view on Meta::CPAN
#!/usr/bin/env perl
use Test2::V0;
use lib 't/lib';
use TF_TestQuiet;
use aliased 'AI::TensorFlow::Libtensorflow';
subtest "(CAPI, DeprecatedSession)" => sub {
my $todo = todo 'DeprecatedSession not implemented.';
pass;
};
done_testing;
t/upstream/CAPI/011_DataTypeEnum.t view on Meta::CPAN
#!/usr/bin/env perl
use Test2::V0;
use lib 't/lib';
use TF_TestQuiet;
use aliased 'AI::TensorFlow::Libtensorflow';
subtest "(CAPI, DataTypeEnum)" => sub {
my $todo = todo 'Test not implemented. Casting between C++ and C DataType enum is not needed.';
pass;
};
done_testing;
t/upstream/CAPI/012_StatusEnum.t view on Meta::CPAN
#!/usr/bin/env perl
use Test2::V0;
use lib 't/lib';
use TF_TestQuiet;
use aliased 'AI::TensorFlow::Libtensorflow';
subtest "(CAPI, StatusEnum)" => sub {
my $todo = todo 'Test not implemented. Casting between C++ and C Status enum is not needed.';
pass;
};
done_testing;
t/upstream/CAPI/013_GetAllOpList.t view on Meta::CPAN
#!/usr/bin/env perl
use Test2::V0;
use lib 't/lib';
use TF_TestQuiet;
use aliased 'AI::TensorFlow::Libtensorflow';
subtest "(CAPI, GetAllOpList)" => sub {
my $buf = AI::TensorFlow::Libtensorflow::TFLibrary->GetAllOpList();
ok $buf;
};
done_testing;
t/upstream/CAPI/014_SetShape.t view on Meta::CPAN
#!/usr/bin/env perl
use Test2::V0;
use lib 't/lib';
use TF_TestQuiet;
use TF_Utils;
use aliased 'AI::TensorFlow::Libtensorflow';
use aliased 'AI::TensorFlow::Libtensorflow::Graph';
use aliased 'AI::TensorFlow::Libtensorflow::Status';
use aliased 'AI::TensorFlow::Libtensorflow::Output';
use AI::TensorFlow::Libtensorflow::DataType qw(INT32);
subtest "(CAPI, SetShape)" => sub {
my $s = Status->New;
my $graph = Graph->New;
t/upstream/CAPI/014_SetShape.t view on Meta::CPAN
is $returned_dims, [2,3], 'dims still [2 3]';
note 'Try to fetch a shape with the wrong num_dims';
pass 'This test not implemented for binding. Not possible to have invalid argument for num_dims.';
note 'Try to set an invalid shape (cannot change 2x3 to a 2x5).';
$dims->[1] = 5;
$graph->SetTensorShape( $feed_out_0, $dims, $s);
note TF_Utils::AssertStatusNotOK($s);
note 'Test for a scalar.';
my $three = TF_Utils::ScalarConst($graph, $s, 'scalar', INT32, 3);
TF_Utils::AssertStatusOK($s);
my $three_out_0 = Output->New({ oper => $three, index => 0 });
$num_dims = $graph->GetTensorNumDims( $three_out_0, $s );
TF_Utils::AssertStatusOK($s);
is $num_dims, 0, 'zero dims';
$returned_dims = $graph->GetTensorShape( $three_out_0, $s );
is $returned_dims, [], 'dims is empty ArrayRef';
};
t/upstream/CAPI/015_Graph.t view on Meta::CPAN
#!/usr/bin/env perl
use Test2::V0;
use lib 't/lib';
use TF_TestQuiet;
use TF_Utils;
use aliased 'AI::TensorFlow::Libtensorflow';
use AI::TensorFlow::Libtensorflow::DataType qw(INT32);
use AI::TensorFlow::Libtensorflow::Lib::Types qw(
TFOutput TFOutputFromTuple
TFInput TFInputFromTuple
);
use Types::Standard qw(HashRef);
my $TFOutput = TFOutput->plus_constructors(
t/upstream/CAPI/015_Graph.t view on Meta::CPAN
HashRef, 'New'
)->plus_coercions(TFInputFromTuple);
subtest "(CAPI, Graph)" => sub {
my $s = AI::TensorFlow::Libtensorflow::Status->New;
my $graph = AI::TensorFlow::Libtensorflow::Graph->New;
note 'Make a placeholder operation.';
my $feed = TF_Utils::Placeholder($graph, $s);
TF_Utils::AssertStatusOK($s);
subtest 'Test TF_Operation*() query functions.' => sub {
is $feed->Name, 'feed', 'name';
is $feed->OpType, 'Placeholder', 'optype';
is $feed->Device, '', 'device';
is $feed->NumOutputs, 1, 'num outputs';
cmp_ok $feed->OutputType(
$TFOutput->coerce({oper => $feed, index => 0})
), 'eq', INT32, 'output 0 type';
is $feed->OutputListLength("output", $s), 1, 'output list length';
TF_Utils::AssertStatusOK($s);
is $feed->NumInputs, 0, 'num inputs';
is $feed->OutputNumConsumers(
$TFOutput->coerce({oper => $feed, index => 0})
), 0, 'output 0 num consumers';
is $feed->NumControlInputs, 0, 'num control inputs';
is $feed->NumControlOutputs, 0, 'num control outputs';
};
subtest 'Test not found errors in TF_Operation*() query functions.' => sub {
is $feed->OutputListLength('bogus', $s), -1, 'bogus output';
note TF_Utils::AssertStatusNotOK($s);
};
note 'Make a constant oper with the scalar "3".';
my $three = TF_Utils::ScalarConst($graph, $s, 'scalar', INT32, 3);
TF_Utils::AssertStatusOK($s);
note 'Add oper.';
my $add = TF_Utils::Add($feed, $three, $graph, $s);
TF_Utils::AssertStatusOK($s);
subtest 'Test TF_Operation*() query functions.' => sub {
is $add->Name, 'add', 'name';
is $add->OpType, 'AddN', 'op type';
is $add->Device, '', 'device';
is $add->NumOutputs, 1, 'num outputs';
cmp_ok $add->OutputType($TFOutput->coerce([$add => 0])),
'eq', INT32, 'output type';
is $add->OutputListLength('sum', $s), 1, 'output list length';
TF_Utils::AssertStatusOK($s);
is $add->NumInputs, 2, 'num inputs';
is $add->InputListLength("inputs", $s), 2, 'InputListLength';
t/upstream/CAPI/015_Graph.t view on Meta::CPAN
note 'Add another oper to the graph.';
my $neg = TF_Utils::Neg( $add, $graph, $s );
TF_Utils::AssertStatusOK($s);
is $neg->Name, 'neg', 'neg name';
is $neg->OpType, 'Neg', 'neg op type';
subtest 'Serialize to NodeDef.' => sub {
skip_all 'Can not use C++ tensorflow::NodeDef* to check';
};
subtest 'Test iterating through the nodes of a graph.' => sub {
my $pos = 0;
my %oper_by_name;
while( my $oper = $graph->NextOperation(\$pos) ) {
$oper_by_name{$oper->Name} = $oper;
}
is \%oper_by_name, hash {
field feed => D();
field scalar => D();
field add => D();
field neg => D();
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