poems – BDP http://bdp.glia.ca Big-Data Poetry Mon, 24 Sep 2018 13:27:12 +0000 en-US hourly 1 https://wordpress.org/?v=4.9.3 17,969 pseudo-poems of 12 lines of approx. 24 characters each generated at a rate of 6.1s per poem in 2h54m http://bdp.glia.ca/18k-pseudo-poems-of-12-lines-of-approx-24-characters-each-generated-in-2h54m/ Mon, 26 Feb 2018 00:32:20 +0000 http://bdp.glia.ca/?p=1344 Continue reading "17,969 pseudo-poems of 12 lines of approx. 24 characters each generated at a rate of 6.1s per poem in 2h54m"

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So as if there was any need: here is more.

 

Here’s the code:

jhave@jhave-Ubuntu:~$ cd '/home/jhave/Documents/Github/awd-lstm-lm-master' 
jhave@jhave-Ubuntu:~/Documents/Github/awd-lstm-lm-master$ source activate awd-py36
jhave@jhave-Ubuntu:~/Documents/Github/awd-lstm-lm-master$ python generate_March-2018_PARAGRAPHS.py --cuda --words=333 --checkpoint="models/SUBEST4+JACKET2+LYRICS_QRNN-PBT_Dec11_FineTune+Pointer.pt" --model=QRNN --data='data/dec_rerites_SUBEST4+JACKET2+LYRICS' --mint=0.95 --maxt=1.25

 

Here’s a video:

 

Here’s an excerpt:

Things, media, le openness, and tenacity.
Consigned to vivian for winked. Our mother
On a boat, a heaven. Mother no envied by also.
Papa you never suffered from the played. Cruz:
And, @ to a man that is rapaciousness, just
Another kind of fact, to say that again, i
Was medicine.’ some apartment. Now i brothers’
Often, the defeated of redemption her hair.
She was born, and months an wheelchair — old
Story, and her one—that makes it difficult
To get their basic writing in language and
Sons. Blood onto initial meadows she spoke
To the touch, and all found her a gray rearrangement
Collector referenda gone vita. I didn’t even
Want to save her with some recordings. For
They have dug for his life in crotch. Power

 

Here’s ALL poems in txt format:

TXT FILE: generated-2018-02-25T13-40-12_Screencast 2018-02-25 16:35:12

 

Here’s wht they will be processed into:

This will be used as the source for March RERITES

 

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Averaged Stochastic Gradient Descent with Weight Dropped QRNN Poetry Generation [Screencast 2017-12-14 15:23:19] http://bdp.glia.ca/averaged-stochastic-gradient-descent-with-weight-dropped-qrnn-poetry-generation/ Thu, 14 Dec 2017 20:43:37 +0000 http://bdp.glia.ca/?p=1283 Continue reading "Averaged Stochastic Gradient Descent with Weight Dropped QRNN Poetry Generation [Screencast 2017-12-14 15:23:19]"

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Trying out a new algorithm: https://github.com/salesforce/awd-lstm-lm using another mildly revised training corpus

Sources: a subset of Poetry Magazine, Jacket2, Bob Marley, Bob Dylan, David Bowie, Tom Waits, Patti Smith, Radiohead, 2 River, Capa, Evergreen Review, jhavelikes.tumblr.com, Cathay by Li Bai, Kenneth Patchen, Maurice Blanchot, and previous Rerites.

Same crappy results. But boy does it churn out verses quickly: 2651 poems in 16m09s (approx 2.75 poems per second, each poem is 88 words long).

Pause video below to read.

TEXT file: generated-2017-12-14T15-07-07_Screencast 2017-12-14 15:23:19

 

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SUBSETS: Small Data (Repeat Mimemesis provoked by lack of Dropout) http://bdp.glia.ca/subsets-small-data-repeat-mimemesis/ Sun, 10 Dec 2017 23:40:26 +0000 http://bdp.glia.ca/?p=1265 Continue reading "SUBSETS: Small Data (Repeat Mimemesis provoked by lack of Dropout)"

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So after last week’s disastreous expansion, i decided to get austere. implement strategic pruning, and reduce the corpus.

Selections were integrated from Bob Dylan, Tom Waits, Patti Smith, 2 River, Capa, Evergreen Review, Tumblr, Cathay by Li Bai, Kenneth Patchen, Maurice Blanchot, and previous Rerites.

Because the training occured without dropout, the model is overfit and a lot of direct quotations seep into the output.

Text: Screencast 2017-12-10 14:22:56_SUBSET2

Text: Screencast 2017-12-09 19:31:37

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Rerites (6 months! 6 books!) http://bdp.glia.ca/rerites-6-months-6-books/ Wed, 01 Nov 2017 19:41:20 +0000 http://bdp.glia.ca/?p=1231 Continue reading "Rerites (6 months! 6 books!)"

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Poetry books.  One a month.

Generated by a computer. Edited by a human.

Project duration: 05.2017 – 05.2018

6 books completed in 6 months.

Rerites October 2017 just published today: preview online (entire text) or order copy available on Blurb.


162 pages, 8000 words.

Excerpt:

All That I Know For All That Is Left

I know your blue throat, 
 writing as you sleep. 
 
Smoke-wreaths howling 
 over the hot sea 
 to see my voice 
 fall so near your feet.

To see the wild light
 as rain breaks
 into thin snow 
 as i pause
 on the stairs 
 above the kitchen.

These are minutes to worry 
 about. The rain caught 
 rushing at windows, begging 
 to hear the garden in the sun.

upco<ing

Added 5 months of
Rerites http://glia.ca/2017/rerites/
into the training corpus.

Will use as source text for November Rerites.

pytorch-poet_Screencast 2017-10-30 23:38:22_OCTOBER-Rerites_source

To read other Rerite months, visit http://glia.ca/2017/rerites/

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Incremental TEMPERATURE Increases (Seed-text for Sept RERITES) http://bdp.glia.ca/incremental-temperature-increases-seed-text-for-sept-rerites/ Wed, 30 Aug 2017 12:29:57 +0000 http://bdp.glia.ca/?p=1185 Continue reading "Incremental TEMPERATURE Increases (Seed-text for Sept RERITES)"

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In the egg, the child is simple. A wet light. Lurching. Body is wind. The sun in the sea. Then as if more, motions, the shadows of trees. The ineluctable diffusion of randomized complexity. Drainfgdl gsod. Trainins spekcled!

 

Poetry evolves as language in organisms, from simple to complex, from simile and homile to histrionics. Increments in the temperature of a neural net model simulate time.

For high temperatures ( τ → ∞ {\displaystyle \tau \to \infty } \tau \to \infty ), all actions have nearly the same probability and the lower the temperature, the more expected rewards affect the probability. For a low temperature ( τ → 0 + {\displaystyle \tau \to 0^{+}} \tau \to 0^{+}), the probability of the action with the highest expected reward tends to 1.

https://en.wikipedia.org/wiki/Softmax_function

~ + ~

~ + ~

Text: Screencast 2017-08-30 00:00:40_incrementalTEMPERATURE_PoetryPytorch

~ + ~

This source will become the first seed-text for September’s RERITES.

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RERITES : May 2017 (Amazon/Blurb/PDF) http://bdp.glia.ca/rerites-may-2017-on-blurb-or-download-pdf/ Sat, 10 Jun 2017 15:15:41 +0000 http://bdp.glia.ca/?p=1123 RERITES
  • May 2017
  • By Neural Net Software, Jhave

All poems in this book were written by a computer, then edited by a human.
All poems were written in the month of April 25th -May 25th 2017.
The algorithm used were based on Pytorch word language model neural network.


Download PDF

Or buy on Amazon or  Blurb



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O wht the heck. Why not one more last deranged excessive epic deep learning poetry binge courtesy of pytorch-for-poetry-generation http://bdp.glia.ca/o-wht-the-heck-why-not-one-more-last-deranged-excessive-epic-deep-learning-poetry-binge-courtesy-of-pytorch-for-poetry-generation/ Thu, 08 Jun 2017 01:19:15 +0000 http://bdp.glia.ca/?p=1109 Continue reading "O wht the heck. Why not one more last deranged excessive epic deep learning poetry binge courtesy of pytorch-for-poetry-generation"

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Personally I like the coherence of Pytorch, it’s capacity to hold the disembodied recalcitrant veil of absurdity over a somewht stoic normative syntactical model.

Text:

jhave@jhave-Ubuntu-pytorch-poet_Screencast 2017-06-07 20:16:49_model-LSTM-emsize-1500-nhid_1500-nlayers_2-batch_size_20-epoch_7-loss_6.02-ppl_412.27

Code:

https://github.com/jhave/pytorch-poetry-generation

Excerpt:

Jumble, Rub Up The Him-Whose-Penis-Stretches-Down-To-His-Knees. 

 
 The slow-wheeling white Thing withheld in the light of the Whitman? 
 The roof kisses the wounds of blues and yellow species. 
 Far and cold in the soft cornfields bending to the gravel, 
 Or showing diapers in disclosure, Atlantic, Raymond 
 Protract the serried ofercomon, — the throats "I've used to make been sustene, 
 Fanny, the inner man clutched to the keep; 
 Who meant me to sing one step at graves. 
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Ok that’s it: i’ve had enough. This is the last Wvnt Epic Video. Until a juicy code variant arises. http://bdp.glia.ca/ok-thats-it-ive-had-enough-this-is-the-last-wvnt-epic-video-until-a-juicy-code-variant-arises/ Wed, 07 Jun 2017 16:16:16 +0000 http://bdp.glia.ca/?p=1102

TEXT:

(tf0p1-py3.5-wvnt) jhave@jhave-Ubuntu_Screencast 2017-06-07 10:58:11_2017-06-07_08-12-11

Excerpt:

weather, 
Gold apply thy unndmight hour. 
    And neither would endure 
Meet excel understood) 
                             

I once had declared clay. 
    Be lines once my God 
      
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A few SLOW excerpts http://bdp.glia.ca/a-few-slow-excerpts/ Mon, 05 Jun 2017 14:59:44 +0000 http://bdp.glia.ca/?p=1093 Continue reading "A few SLOW excerpts"

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from here

accepting tall any flowers, forever with one question
of boots, neural, dead forgotten the glass
of cloud, start and more, who studied legends
and wanted to ascend
Every inch alone you and this desire
tulips of sounds
watching the witness
On the intensity lolling it.

Summer up warmishment
The girls crack our hearts
she set and quickens, swarms at the edge.
where they could wake? It begins
how much design, anthounces are taught her.
Illusion, mimicry a chalk.
when you’re lonely, black large in the calico,
where the bachelo forking genes
might in dusty confidently,
ignore and suck with the main grove,
the dream in the darkness, found hear
if these wobbles, silver for the man.

Deaf-soot he’s an edging of ships
a border that is the court.
The soul,
aroused, breakfast

who wants shapelesse lava
So long as nothing moved oversized no mountains of an eternity

I fed him into oned
There is to say something a fog and mask at writing
minild, the moon and cair of his screens

It is there learning, loving down, screeching.

mystery, painted Spring.
wings
as mid-afternoon, fetlocks

uncurledding cheaping full of pale
eternal, grabs us. Flowers try

migrating every idea
and whispered at the
morning machine

looking at her skin, burst

from her will.

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WVNT regamed (blind, still bland, but intriguing) http://bdp.glia.ca/wvnt-regamed-blind-still-bland-but-intriguing/ Sat, 03 Jun 2017 14:50:54 +0000 http://bdp.glia.ca/?p=1031 Continue reading "WVNT regamed (blind, still bland, but intriguing)"

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The opposite of scarcity is not abundance: saturation inevitably damages, or perhaps it just corrodes or blunts the impassioned pavlov puppy, delivering a dent of tiny deliberate delirious wonder.

Yet technical momentum now propels and impels continuance: how can the incoherence be tamed? Set some new hyperparameters and let the wvnt train for 26 hours.

Over this weekend, I’ve churned out about 100,000 lines. Generating reckless amounts of incoherent poetry threatens more than perspective or contemplation, it totters sanity on the whim of a machine. Teeming bacteria, every epiphany a whiff of redundancy.

$ python train_2017_py3p5_150k_low6_sample4096_SAVE-STARTS_100k.py 
--wavenet_params=wavenet_params_ORIG_dilations2048_skipChannels8192_qc2048_dc32.json 
--data_dir=data/2017

Using default logdir: ./logdir/train/2017-06-01T08-38-45 

_______________________________________________________________________________________________

dilations: 2048 filter_width: 2 residual_channels: 32
dilation_channels: 32 skip_channels: 8192 quantization_channels: 2048

(tf0p1-py3.5-wvnt) jhave@jhave-UbuntuScreencast 2017-06-02 11:08:14_2017-06-01T08-38-45

and faithful wound 
To fruit white, the dread 
One by one another, Image saved-- 
Ay of the visit. What pursued my heart to brink. 


Such the curse of hopes fraught memory;

tf0p1-py3.5-wvnt_jhave-Ubuntu_Screencast 2017-06-02 11:08:14_2017-06-01T08-38-45

Caught a new light bulb,   
All the heart is grown.

TXTs generated in SLOW MODE

There’s a way of calculating the matrices that taxes the strength of evn a magnificient GPU, making production crawl, and the computer difficult to use. Each of the following txt files (4444 letters in each) took about 40-60 minutes  to generate on an Nvidia Maxwell TitanX using cuda8 on Ubuntu 16.4

Txts generated slow seem somehow thicker, as if issued from a more calibrated mentation, yet at the same time it’s math scat, glitch flow. Glisses from disintegrating encyclopedias.

Here are some samples:

I found myself within us wonder.
   You purchase as ease with water over events,
   because the straightforward that I miximally, she
   Don't sports commentation with its ruffled story

tf0p1-py3.5-wvnt_jhave-Ubuntu_SLOW_4444charsx4_2017-06-02-16T08_2017-06-01T08-38-45_model.ckpt-117396

There is a woefu's rupped, pelleys glow whud not eat resemblance. Phen my friends talking me numb because the hairspana of "strange tables. Oh, edgy and buckeying me with her children strion.  Every one outside also that 
Who reaped down a fast-puliforous as dirty factions.

2017-06-03_17-19_DIR-2017-06-01T08-38-45_Model-112640_Loss-0.584_Chars-4444.

 CLUMPED TO A SNAIL,


                                                             gold-stiffened and rear it's 48 decraried
                                                                         A wilderness is snow
                                                                                                           bathed around you'd be delicacy    
                                                          their rejected and 19-purg

                                            foot unjust
I have time it dow to keep thin age, just fine 
                                                        Cooper--feel
                                                                           This more, & undressed)

2017-06-03_14-29_DIR-2017-06-01T08-38-45_Model-117221_Loss-0.493_Chars-4444

terrible set up toward the wave. Assume, the evening,
  
 my own real equal, flick peders roam bed
 and reasonings have notched;
  
 they solidated us to turn 
shrouded by the metal
 of gray as I thought
 so headpan dust.
       o mother:
all the madhouse that day
 this is my head.

2017-06-03_15-33_DIR-2017-06-01T08-38-45_Model-112608_Loss-0.230_Chars-4444

in its swollen fresh and healed the window
 creating. Bright, gelwired   I sut lone there yet


I'd give home of you.
  
 So on the land. 
I hold over you're like
 a disk.

2017-06-03_16-23_DIR-2017-06-01T08-38-45_Model-112609_Loss-0.243_Chars-4444

 and you make eyes
 girl jokes Tristrain spider,
 as the sides of the far side
 plump of a frozen floor blanked
 what reaching or as wholly 
  
 stairs for the dew
 
 
splatter pail, an inteclined cheek 
 
together made, & shibboring
 the skull petal double as this
 aloft has a daily and lists
 kearted on the pillow.

2017-06-03_18-19_DIR-2017-06-01T08-38-45_Model-112641_Loss-0.432_Chars-4444

AND HIGH WORD--


Who sets mes chadmories of legities
that read sickness, 
ettachbust subtractor's cigarette at thoroughness, 

a blinding the valleys followed me 
and before. Through the Drugot--
if the versions moved onto a perilous toast
an innime sovereign rivers were for years-- 
intricate him, onhered attitude
in flints, in the thin-so-wh, we stood 
ran striped his mothers.   
It was then they escaped to the stars.
Above the Brotherford
 

The years I know this guy - Where everyone was close.
If Jr. tumknat, I'm everywhere, though, shield did,
redress of now. Our grandchild (the two goes spring deep.
Remake the historic part of the sob won't nursed 
only the engine to her work, a shooting angel with ink.

2017-06-03_19-11_DIR-2017-06-01T08-38-45_Model-112642_Loss-0.550_Chars-4444

Dawn Day forgive
 

A grisse with jacks on her handed sheep, not just war from every tongues, its stem-ton fields. But if I touched the sound against the screw hooks tossed the ghost of means its pink inside the desire of whom I would injaid for this silence.

2017-06-03_20-02_DIR-2017-06-01T08-38-45_Model-112643_Loss-0.521_Chars-4444

If, one night
 

    fall in everyone's arms, as now it
cold, no sickness what I'll be you
think you've admit that after you packed. This drought

through the soul, the white people erect love up
by summer again: tin a stillness, with the shore
and squinting cloud from the other hands me

2017-06-03_21-13_DIR-2017-06-01T08-38-45_Model-112859_Loss-0.579_Chars-4444

 the eposits. Off of Kansay wasn't waste.

Strong round move stood in frostmates, Ray Raffae. Never on thinking of
Middle. Rips, unmarred by accident neckbelled bathrooms & daughter,
a reprievement. Wailed, and Richard World, she is gone, 
though question is shadows, divine. What does it
even us with and going the rest of headlights 
brought to slowly upward face while I understand
and iides wordling out of their knife.

2017-06-03_22-07_DIR-2017-06-01T08-38-45_Model-113546_Loss-0.514_Chars-4444

Those ordinary warfare flesh,
I saw me many weeping, until we stayed
the innocence of a clued out with)
dark flanks

2017-06-04_07-36_DIR-2017-06-01T08-38-45_Model-122032_Loss-0.242_Chars-4444

The boats were sewn into the night--

2017-06-04_08-27_DIR-2017-06-01T08-38-45_Model-122033_Loss-0.338_Chars-4444

 You keep books & sex cancels--drawing else abandoned.
 I want it beside a furnace,
 ineans and a guide   of slow of enduring

And then a txt file containing 555-letter samples from all the models made on 06-01T08-38-45:

(tf0p1-py3.5-wvnt) jhave@jhave-Ubuntu:~2017-06-04_09-21-18-555chars-SLOW

was being his trances of
 mances of those
  
 As the furrow, hard-self
 father and thoughts,
  
 became necks at a tiny joy, 
  
 a lark of iron on my bare stone.
  
 A shooting shadows came for joy; 

a hammer impossible body for them
  
 on town odor eclipse of scour lips
 the ocean loose, pulled down so long
  
 today is tiny benches and white anger,
 flat underground house, symbolist.
$ bash Run_Model_Demos_100K+-INFINITE_2017-GOOD-06-01T08-38-45-passSamples.sh 555

python -W ignore generate_Poems_2017-wsuppressed-PERPETUAL-SLOW.py --samples=4444 --wavenet_params=wavenet_params_ORIG_dilations2048_skipChannels8192_qc2048_dc32.json --loss=0.493 ./logdir/train/2017-06-01T08-38-45/model.ckpt-117221

python -W ignore generate_Poems_2017-wsuppressed-PERPETUAL-SLOW.py --samples=4444 --wavenet_params=wavenet_params_ORIG_dilations2048_skipChannels8192_qc2048_dc32.json --loss=0.230 ./logdir/train/2017-06-01T08-38-45/model.ckpt-112608

python -W ignore generate_Poems_2017-wsuppressed-PERPETUAL-SLOW.py --samples=4444 --wavenet_params=wavenet_params_ORIG_dilations2048_skipChannels8192_qc2048_dc32.json --loss=0.243 ./logdir/train/2017-06-01T08-38-45/model.ckpt-112609

python -W ignore generate_Poems_2017-wsuppressed-PERPETUAL-SLOW.py --samples=4444 --wavenet_params=wavenet_params_ORIG_dilations2048_skipChannels8192_qc2048_dc32.json --loss=0.584 ./logdir/train/2017-06-01T08-38-45/model.ckpt-112640

python -W ignore generate_Poems_2017-wsuppressed-PERPETUAL-SLOW.py --samples=4444 --wavenet_params=wavenet_params_ORIG_dilations2048_skipChannels8192_qc2048_dc32.json --loss=0.550 ./logdir/train/2017-06-01T08-38-45/model.ckpt-112642

python -W ignore generate_Poems_2017-wsuppressed-PERPETUAL-SLOW.py --samples=4444 --wavenet_params=wavenet_params_ORIG_dilations2048_skipChannels8192_qc2048_dc32.json --loss=0.242 ./logdir/train/2017-06-01T08-38-45/model.ckpt-122032

python -W ignore generate_Poems_2017-wsuppressed-PERPETUAL-SLOW.py --samples=4444 --wavenet_params=wavenet_params_ORIG_dilations2048_skipChannels8192_qc2048_dc32.json --loss=0.338 ./logdir/train/2017-06-01T08-38-45/model.ckpt-122033    
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