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Addition of integration tests for ProphetNet
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// Copyright 2019-present, the HuggingFace Inc. team, The Google AI Language Team and Facebook, Inc.
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// Copyright 2019 Guillaume Becquin
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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// http://www.apache.org/licenses/LICENSE-2.0
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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extern crate anyhow;
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use rust_bert::prophetnet::{
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ProphetNetConfig, ProphetNetConfigResources, ProphetNetModel, ProphetNetModelResources,
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ProphetNetVocabResources,
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};
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use rust_bert::resources::{RemoteResource, Resource};
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use rust_bert::Config;
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use rust_tokenizers::tokenizer::{ProphetNetTokenizer, Tokenizer, TruncationStrategy};
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use tch::{nn, no_grad, Device, Tensor};
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fn main() -> anyhow::Result<()> {
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// Resources paths
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let config_resource = Resource::Remote(RemoteResource::from_pretrained(
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ProphetNetConfigResources::PROPHETNET_LARGE_UNCASED,
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));
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let vocab_resource = Resource::Remote(RemoteResource::from_pretrained(
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ProphetNetVocabResources::PROPHETNET_LARGE_UNCASED,
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));
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let weights_resource = Resource::Remote(RemoteResource::from_pretrained(
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ProphetNetModelResources::PROPHETNET_LARGE_UNCASED,
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));
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let config_path = config_resource.get_local_path()?;
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let vocab_path = vocab_resource.get_local_path()?;
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let weights_path = weights_resource.get_local_path()?;
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// Set-up masked LM model
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let device = Device::cuda_if_available();
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let mut vs = nn::VarStore::new(device);
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let tokenizer = ProphetNetTokenizer::from_file(vocab_path.to_str().unwrap(), true, true)?;
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let config = ProphetNetConfig::from_file(config_path);
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let model = ProphetNetModel::new(&(&vs.root() / "prophetnet"), &config)?;
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vs.load(weights_path)?;
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// Define input
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let input = ["One two three four"];
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let tokenized_input = tokenizer.encode_list(input, 1024, &TruncationStrategy::LongestFirst, 0);
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let max_len = tokenized_input
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.iter()
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.map(|input| input.token_ids.len())
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.max()
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.unwrap();
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let tokenized_input = tokenized_input
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.iter()
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.map(|input| input.token_ids.clone())
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.map(|mut input| {
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input.extend(vec![0; max_len - input.len()]);
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input
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})
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.map(|input| Tensor::of_slice(&(input)))
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.collect::<Vec<_>>();
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let input_tensor = Tensor::stack(tokenized_input.as_slice(), 0).to(device);
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// Forward pass
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let model_output = no_grad(|| {
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model
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.forward_t(
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Some(&input_tensor),
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None,
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None,
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Some(&input_tensor),
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None,
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None,
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None,
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None,
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false,
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)
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.unwrap()
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});
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println!("{:?}", model_output.last_hidden_states);
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model_output.last_hidden_states.print();
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Ok(())
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}
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71
tests/prophetnet.rs
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71
tests/prophetnet.rs
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use rust_bert::pipelines::summarization::{SummarizationConfig, SummarizationModel};
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use rust_bert::pipelines::common::ModelType;
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use rust_bert::prophetnet::{
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ProphetNetConfigResources, ProphetNetModelResources, ProphetNetVocabResources,
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};
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use rust_bert::resources::{RemoteResource, Resource};
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use tch::Device;
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#[test]
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fn prophetnet_summarization_greedy() -> anyhow::Result<()> {
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// Set-up masked LM model
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let config_resource = Resource::Remote(RemoteResource::from_pretrained(
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ProphetNetConfigResources::PROPHETNET_LARGE_CNN_DM,
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));
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let vocab_resource = Resource::Remote(RemoteResource::from_pretrained(
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ProphetNetVocabResources::PROPHETNET_LARGE_CNN_DM,
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));
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let weights_resource = Resource::Remote(RemoteResource::from_pretrained(
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ProphetNetModelResources::PROPHETNET_LARGE_CNN_DM,
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));
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let summarization_config = SummarizationConfig {
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model_type: ModelType::ProphetNet,
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model_resource: weights_resource,
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config_resource,
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vocab_resource: vocab_resource.clone(),
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merges_resource: vocab_resource,
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length_penalty: 1.2,
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num_beams: 4,
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no_repeat_ngram_size: 3,
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device: Device::cuda_if_available(),
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..Default::default()
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};
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let summarization_model = SummarizationModel::new(summarization_config)?;
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let input = ["In findings published Tuesday in Cornell University's arXiv by a team of scientists \
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from the University of Montreal and a separate report published Wednesday in Nature Astronomy by a team \
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from University College London (UCL), the presence of water vapour was confirmed in the atmosphere of K2-18b, \
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a planet circling a star in the constellation Leo. This is the first such discovery in a planet in its star's \
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habitable zone — not too hot and not too cold for liquid water to exist. The Montreal team, led by Björn Benneke, \
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used data from the NASA's Hubble telescope to assess changes in the light coming from K2-18b's star as the planet \
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passed between it and Earth. They found that certain wavelengths of light, which are usually absorbed by water, \
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weakened when the planet was in the way, indicating not only does K2-18b have an atmosphere, but the atmosphere \
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contains water in vapour form. The team from UCL then analyzed the Montreal team's data using their own software \
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and confirmed their conclusion. This was not the first time scientists have found signs of water on an exoplanet, \
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but previous discoveries were made on planets with high temperatures or other pronounced differences from Earth. \
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\"This is the first potentially habitable planet where the temperature is right and where we now know there is water,\" \
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said UCL astronomer Angelos Tsiaras. \"It's the best candidate for habitability right now.\" \"It's a good sign\", \
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said Ryan Cloutier of the Harvard–Smithsonian Center for Astrophysics, who was not one of either study's authors. \
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\"Overall,\" he continued, \"the presence of water in its atmosphere certainly improves the prospect of K2-18b being \
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a potentially habitable planet, but further observations will be required to say for sure. \" \
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K2-18b was first identified in 2015 by the Kepler space telescope. It is about 110 light-years from Earth and larger \
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but less dense. Its star, a red dwarf, is cooler than the Sun, but the planet's orbit is much closer, such that a year \
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on K2-18b lasts 33 Earth days. According to The Guardian, astronomers were optimistic that NASA's James Webb space \
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telescope — scheduled for launch in 2021 — and the European Space Agency's 2028 ARIEL program, could reveal more \
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about exoplanets like K2-18b."];
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// Credits: WikiNews, CC BY 2.5 license (https://en.wikinews.org/wiki/Astronomers_find_water_vapour_in_atmosphere_of_exoplanet_K2-18b)
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let output = summarization_model.summarize(&input);
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assert_eq!(output.len(), 1);
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assert_eq!(
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output[0],
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"scientists have confirmed the presence of water in the atmosphere of k2 - 18b. \
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[X_SEP] this is the first such discovery in a planet in its star's habitable zone. \
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[X_SEP] the planet is 110 light - years from earth and has a star in the constellation leo."
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);
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Ok(())
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}
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