tf.raw_ops.RestoreSlice
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Restores a tensor from checkpoint files.
tf.raw_ops.RestoreSlice(
file_pattern,
tensor_name,
shape_and_slice,
dt,
preferred_shard=-1,
name=None
)
This is like Restore except that restored tensor can be listed as filling
only a slice of a larger tensor. shape_and_slice specifies the shape of the
larger tensor and the slice that the restored tensor covers.
The shape_and_slice input has the same format as the
elements of the shapes_and_slices input of the SaveSlices op.
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.
|
shape_and_slice
|
A Tensor of type string.
Scalar. The shapes and slice specifications to use when
restoring a tensors.
|
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. See the documentation for Restore.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of type dt.
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.RestoreSlice\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.RestoreSlice`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/RestoreSlice)\n\n\u003cbr /\u003e\n\n tf.raw_ops.RestoreSlice(\n file_pattern,\n tensor_name,\n shape_and_slice,\n dt,\n preferred_shard=-1,\n name=None\n )\n\nThis is like `Restore` except that restored tensor can be listed as filling\nonly a slice of a larger tensor. `shape_and_slice` specifies the shape of the\nlarger tensor and the slice that the restored tensor covers.\n\nThe `shape_and_slice` input has the same format as the\nelements of the `shapes_and_slices` input of the `SaveSlices` op.\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| `shape_and_slice` | A `Tensor` of type `string`. Scalar. The shapes and slice specifications to use when restoring a tensors. |\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`. See the documentation for `Restore`. |\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"]]
