{"href":"https://api.simplecast.com/oembed?url=https%3A%2F%2Fpytorch-dev-podcast.simplecast.com%2Fepisodes%2Ftorch-trace-and-tlparse-fH21m_7y","width":444,"version":"1.0","type":"rich","title":"TORCH_TRACE and tlparse","thumbnail_width":300,"thumbnail_url":"https://image.simplecastcdn.com/images/8cefde76-fb46-406a-8d87-ab0df67f3423/92f11400-2dad-49b4-8b14-cce35f5ab765/pytorch-symbol-02-orangeondark.jpg","thumbnail_height":300,"provider_url":"https://simplecast.com","provider_name":"Simplecast","html":"<iframe src=\"https://player.simplecast.com/3cf7caa8-d90d-4dd6-b519-06795ad301e4\" height=\"200\" width=\"100%\" title=\"TORCH_TRACE and tlparse\" frameborder=\"0\" scrolling=\"no\"></iframe>","height":200,"description":"TORCH_TRACE and tlparse are a structured log and log parser for PyTorch 2. It gives useful information about what code was compiled and what the intermediate build products look like."}