🚀 Feature request – 🚀 功能请求区块链毕设代写

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🚀 Feature request

The architecture GPT2ForSequenceClassification was added in #7501 in PyTorch. It would be great to have it in TensorFlow (cf. issues #7622), but it would also be great to have it for other causal models: OpenAI GPT, CTRL, TransfoXL

Currently working on OpenAI GPT: @fmcurti (done)

Below is a list of items to follow to make sure the integration of such an architect

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some recordings have low volume so the output can be sometimes really quiet. how about we add a volume bar so we can make the output louder/quieter?

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We keep this issue open to collect feature requests from users and hear your voice. Our monthly release plan is also available here.

You can either:

  1. Suggest a new feature by leaving a comment.
  2. Vote for a feature request with 👍 or be against with 👎. (Remember that developers are busy and cannot respond to all feature requests, so vote for your most favorable one!)
  3. Tell us that
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Change tensor.data to tensor.detach() due to
pytorch/pytorch#6990 (comment)
tensor.detach() is more robust than tensor.data.

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Bug Report

These tests were run on s390x. s390x is big-endian architecture.

Failure log for helper_test.py

________________________________________________ TestHelperTensorFunctions.test_make_tensor ________________________________________________  self = <helper_test.TestHelperTensorFunctions testMethod=test_make_tensor>      def test_make_tensor(self):  # type: () -> None      
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more details at: allenai/allennlp#2264 (comment)

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🚀 Feature

Motivation

Currently fast_dev_run accept only a boolean value.

fast_dev_run meaning: Runs 1

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What would you like to be added: As title

Why is this needed: All pruning schedule except AGPPruner only support level, L1, L2. While there are FPGM, APoZ, MeanActivation and Taylor, it would be much better if we can choose any pruner with any pruning schedule.

**Without this feature, how does current nni

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Currently our non-notebook examples are manually included in the examples webpage via custom .rst files in tutorial/source/. As the number of examples increases, it would be better to follow NumPyro’s approach and generate HTML pages automatically with sphinx_gallery. This would make examples easier t

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Python 7,849


🚀 功能请求

Pythorch的#7501中添加了用于序列分类的gpt2架构。在TensorFlow中有它是很好的(参见问题7622),但对于其他因果模型也很好:OpenAI GPT、CTRL、transforxl

目前正在研究OpenAI GPT:@fmcurti(done)

下面是一些要遵循的项目列表,以确保集成这样一个架构师

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一些录音的音量很小所以输出有时非常安静。我们加一个音量条,这样输出的声音就更大/更安静了,怎么样?

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我们将此问题保持为开放状态,以收集用户的功能请求并倾听您的声音。我们的每月发布计划也在这里提供。

您可以:

  1. 通过留言建议新功能。
  2. 投票支持功能请求👍 或者反对👎. (请记住,开发人员很忙,无法响应所有功能请求,所以请投票给您最喜欢的一个!)告诉我们
  3. Tell us that
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更改张量数据到张量分离()由于
pytorch/pytorch#6990(注释)
张量分离()比张量数据.

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错误报告

这些测试在s390x上运行。s390x是big-endian体系结构。

帮助程序的失败日志_测试.py

________________________________________________ TestHelperTensorFunctions.test_make_tensor ________________________________________________  self = <helper_test.TestHelperTensorFunctions testMethod=test_make_tensor>      def test_make_tensor(self):  # type: () -> None      
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更多详细信息,请访问:allenai/allennlp#2264(注释)

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🚀 功能

动机

当前fast_dev_run只接受布尔值。

快速开发运行的含义:运行1

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您希望添加什么:作为标题

为什么需要这样做:除了AGPPruner之外的所有修剪计划只支持级别L1、L2。虽然有FPGM,APoZ,MeanActivation和Taylor,但是如果我们可以选择任何一个具有任何修剪时间表的修剪器,那就更好了。

**如果没有此功能,当前的nni如何通过tutorial/source/中的自定义.rst文件手动将当前的非笔记本示例包含在示例网页中。随着示例数量的增加,最好遵循NumPyro的方法,使用sphinx_gallery自动生成HTML页面。这将使示例更简单t

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Python 7,849

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