tf.raw_ops.Restore
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Restores a tensor from checkpoint files.
View aliases
Compat aliases for migration
See
Migration guide for
more details.
tf.compat.v1.raw_ops.Restore
tf.raw_ops.Restore(
file_pattern, tensor_name, dt, preferred_shard=-1, name=None
)
Used in the notebooks
Reads a tensor stored in one or several files. If there are several files (for
instance because a tensor was saved as slices), file_pattern may contain
wildcard symbols (* and ?) in the filename portion only, not in the
directory portion.
If a file_pattern matches several files, preferred_shard can be used to hint
in which file the requested tensor is likely to be found. This op will first
open the file at index preferred_shard in the list of matching files and try
to restore tensors from that file. Only if some tensors or tensor slices are
not found in that first file, then the Op opens all the files. Setting
preferred_shard to match the value passed as the shard input
of a matching Save Op may speed up Restore. This attribute only affects
performance, not correctness. The default value -1 means files are processed in
order.
See also RestoreSlice.
Args |
|---|
file_pattern
|
A Tensor of type string.
Must have a single element. The pattern of the files from
which we read the tensor.
|
tensor_name
|
A Tensor of type string.
Must have a single element. The name of the tensor to be
restored.
|
dt
|
A tf.DType. The type of the tensor to be restored.
|
preferred_shard
|
An optional int. Defaults to -1.
Index of file to open first if multiple files match
file_pattern.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of type dt.
|
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Last updated 2024-04-26 UTC.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26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.Restore\n\n\u003cbr /\u003e\n\nRestores a tensor from checkpoint files.\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.Restore`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/Restore)\n\n\u003cbr /\u003e\n\n tf.raw_ops.Restore(\n file_pattern, tensor_name, dt, preferred_shard=-1, name=None\n )\n\n### Used in the notebooks\n\n| Used in the tutorials |\n|-------------------------------------------------------------------------------------------------------------------|\n| - [On-Device Training with TensorFlow Lite](https://www.tensorflow.org/lite/examples/on_device_training/overview) |\n\nReads a tensor stored in one or several files. If there are several files (for\ninstance because a tensor was saved as slices), `file_pattern` may contain\nwildcard symbols (`*` and `?`) in the filename portion only, not in the\ndirectory portion.\n\nIf a `file_pattern` matches several files, `preferred_shard` can be used to hint\nin which file the requested tensor is likely to be found. This op will first\nopen the file at index `preferred_shard` in the list of matching files and try\nto restore tensors from that file. Only if some tensors or tensor slices are\nnot found in that first file, then the Op opens all the files. Setting\n`preferred_shard` to match the value passed as the `shard` input\nof a matching `Save` Op may speed up Restore. This attribute only affects\nperformance, not correctness. The default value -1 means files are processed in\norder.\n\nSee also `RestoreSlice`.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-------------------|------------------------------------------------------------------------------------------------------------------|\n| `file_pattern` | A `Tensor` of type `string`. Must have a single element. The pattern of the files from which we read the tensor. |\n| `tensor_name` | A `Tensor` of type `string`. Must have a single element. The name of the tensor to be restored. |\n| `dt` | A [`tf.DType`](../../tf/dtypes/DType). The type of the tensor to be restored. |\n| `preferred_shard` | An optional `int`. Defaults to `-1`. Index of file to open first if multiple files match `file_pattern`. |\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 `dt`. ||\n\n\u003cbr /\u003e"]]
