[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.Timestamp\n\n\u003cbr /\u003e\n\nProvides the time since epoch in seconds.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.Timestamp`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/Timestamp)\n\n\u003cbr /\u003e\n\n tf.raw_ops.Timestamp(\n name=None\n )\n\nReturns the timestamp as a `float64` for seconds since the Unix epoch.\n\n#### Common usages include:\n\n- Logging\n- Providing a random number seed\n- Debugging graph execution\n- Generating timing information, mainly through comparison of timestamps\n\n| **Note:** In graph mode, the timestamp is computed when the op is executed, not when it is added to the graph. In eager mode, the timestamp is computed when the op is eagerly executed.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------|--------------------------------------|\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor` of type `float64`. ||\n\n\u003cbr /\u003e"]]
