C++ frontend

PyTorch Developer Podcast

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הוסף לפני four שנים

תוכן מסופק על ידי PyTorch, Edward Yang, and Team PyTorch. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי PyTorch, Edward Yang, and Team PyTorch או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Profits Through Podcasting

1
100 Episodes WASTED! Fix These 4 Simple Podcast Blunders in Minutes 14:42

לפני 7 weeks14:42

הפעל מאוחר יותר

רשימות

לייק

אהבתי

14:42

Is your health and wellness podcast optimized for success, or are crucial oversights holding back your potential? I audited a doctor’s podcast recently and was shocked at what I found. This podcast had over 100 episodes—pretty impressive. However, the whole setup of the podcast had some brutal mistakes that I’m sure were holding this doctor back from seeing bigger results. How can optimizing your podcast's website links transform your show's reach? Are you missing out on SEO benefits that could elevate your visibility? Curious about the impact of professional collaboration on your podcast? Don't let simple mistakes hold you back. Tune in to find out how to turn your podcast into a lead-generating powerhouse! Today’s episode includes: How minor mistakes hinder podcast growth and engagement. Why directing podcast episode links on Apple, Spotify, etc to your own website is ideal. Why collaborating with professional teams can elevate your podcast impact and revenue. How maintaining high production standards enhances credibility, especially in the health and wellness space. How omitting crucial subscription links will limit your audience growth. Why owning a proper domain ensures long-term SEO benefits and authority with search engines. How missing social media links in your show notes makes it difficult for listeners to connect with you. Why understanding and avoiding common mistakes ensures maximum ROI from podcasting efforts. Are you pouring your heart into your podcast but still not seeing the growth you deserve? Download our free guide to unlock your podcast’s full potential and expand your impact: https://eastcoaststudio.com/5mistakes Our LinkedIn: https://www.linkedin.com/company/eastcoaststudio/ Our Instagram: https://www.instagram.com/ecpodcaststudio/…

לפני 4 שנים 17:07

MP3•בית הפרקים

What's the C++ frontend? Why is avoiding templates so important? Why is Tensor a reference type? How do we simulate keyword arguments in C++? Where did the nn Module support in the C++ API come from? Why did we reimplement all modules in C++? How are modules implemented in C++? What are some performance challenges of writing Python in C++, and how are we working around them?

Further reading.

C++ frontend tutorial https://pytorch.org/tutorials/advanced/cpp_frontend.html
Writing Python in C++ (a manifesto) https://github.com/pytorch/pytorch/wiki/Writing-Python-in-cpp-(a-manifesto)
MaybeOwned PR https://github.com/pytorch/pytorch/pull/53317

83 פרקים

#Tech #PyTorch #Edward Yang #Team PyTorch #Deep Learning #Machine Learning

PyTorch Developer Podcast

C++ frontend

PyTorch Developer Podcast

32 subscribers

published לפני 4 שנים

שתפו

MP3•בית הפרקים

Further reading.

C++ frontend tutorial https://pytorch.org/tutorials/advanced/cpp_frontend.html
Writing Python in C++ (a manifesto) https://github.com/pytorch/pytorch/wiki/Writing-Python-in-cpp-(a-manifesto)
MaybeOwned PR https://github.com/pytorch/pytorch/pull/53317

83 פרקים

#Tech #PyTorch #Edward Yang #Team PyTorch #Deep Learning #Machine Learning

כל הפרקים

PyTorch Developer Podcast

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Higher order operators are a special form of operators in torch.ops which have relaxed input argument requirements: in particular, they can accept any form of argument, including Python callables. Their name is based off of their most common use case, which is to represent higher order functions like control flow operators. However, they are also used to implement other variants of basic operators and can also be used to smuggle in Python data that is quite unusual. They are implemented using a Python dispatcher.…

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