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<!DOCTYPE html>
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<html>
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<title>Enum TFCode
</title>
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<meta name="title" content="Enum TFCode
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<article class="content wrap" id="_content" data-uid="TensorFlow.TFCode">
<h1 id="TensorFlow_TFCode" data-uid="TensorFlow.TFCode">Enum TFCode
</h1>
<div class="markdown level0 summary"><p>Status code for invoking a tensorflow operation.</p>
</div>
<div class="markdown level0 conceptual"></div>
<h6><strong>Namespace</strong>: <a class="xref" href="../TensorFlow.html">TensorFlow</a></h6>
<h6><strong>Assembly</strong>: TensorFlowSharp.dll</h6>
<h5 id="TensorFlow_TFCode_syntax">Syntax</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">public enum TFCode</code></pre>
</div>
<h3 id="fields">Fields
</h3>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Name</th>
<th>Description</th>
</tr>
<thead>
<tbody>
<tr>
<td id="TensorFlow_TFCode_Aborted">Aborted</td>
<td><p>The operation was aborted, typically due to a concurrency issue
like sequencer check failures, transaction aborts, etc.</p>
<pre><code> See litmus test above for deciding between FailedPrecondition,
Aborted and Unavailable
</code></pre></td>
</tr>
<tr>
<td id="TensorFlow_TFCode_AlreadyExists">AlreadyExists</td>
<td><p>Some entity that we attempted to create (e.g., file or directory) already exists.</p>
</td>
</tr>
<tr>
<td id="TensorFlow_TFCode_Cancelled">Cancelled</td>
<td><p>The operation was cancelled (typically by the caller).</p>
</td>
</tr>
<tr>
<td id="TensorFlow_TFCode_DataLoss">DataLoss</td>
<td><p>Unrecoverable data loss or corruption.</p>
</td>
</tr>
<tr>
<td id="TensorFlow_TFCode_DeadlineExceeded">DeadlineExceeded</td>
<td><p>Deadline expired before operation could complete. For operations
that change the state of the system, this error may be returned
even if the operation has completed successfully. For example, a
successful response from a server could have been delayed long
enough for the deadline to expire.</p>
</td>
</tr>
<tr>
<td id="TensorFlow_TFCode_FailedPrecondition">FailedPrecondition</td>
<td><p>Operation was rejected because the system is not in a state
required for the operation's execution. For example, directory
to be deleted may be non-empty, an rmdir operation is applied to
a non-directory, etc.</p>
<pre><code> A litmus test that may help a service implementor in deciding
between FailedPrecondition, Aborted, and Unavailable:
(a) Use Unavailableif the client can retry just the failing call.
(b) Use Aborted if the client should retry at a higher-level
(e.g., restarting a read-modify-write sequence).
(c) Use FailedPrecondition if the client should not retry until
the system state has been explicitly fixed. E.g., if an "rmdir"
fails because the directory is non-empty, FailedPrecondition
should be returned since the client should not retry unless
they have first fixed up the directory by deleting files from it.
(d) Use FailedPrecondition if the client performs conditional
REST Get/Update/Delete on a resource and the resource on the
server does not match the condition. E.g., conflicting
read-modify-write on the same resource.
</code></pre></td>
</tr>
<tr>
<td id="TensorFlow_TFCode_Internal">Internal</td>
<td><p>Internal errors. Means some invariants expected by underlying
system has been broken. If you see one of these errors,
something is very broken.</p>
</td>
</tr>
<tr>
<td id="TensorFlow_TFCode_InvalidArgument">InvalidArgument</td>
<td><p>Client specified an invalid argument. Note that this differs
from FailedPrecondition. InvalidArgumentindicates arguments
that are problematic regardless of the state of the system
(e.g., a malformed file name).</p>
</td>
</tr>
<tr>
<td id="TensorFlow_TFCode_NotFound">NotFound</td>
<td><p>Some requested entity (e.g., file or directory) was not found.
For privacy reasons, this code may be returned when the client
does not have the access right to the entity.</p>
</td>
</tr>
<tr>
<td id="TensorFlow_TFCode_Ok">Ok</td>
<td><p>Not an error; returned on success</p>
</td>
</tr>
<tr>
<td id="TensorFlow_TFCode_OutOfRange">OutOfRange</td>
<td><p>Operation tried to iterate past the valid input range. E.g., seeking or
reading past end of file.</p>
<pre><code> Unlike InvalidArgument, this error indicates a problem that may
be fixed if the system state changes. For example, a 32-bit file
system will generate InvalidArgument if asked to read at an
offset that is not in the range [0,2^32-1], but it will generate
OutOfRange if asked to read from an offset past the current
file size.
There is a fair bit of overlap between FailedPrecondition and
OutOfRange. We recommend using OutOfRane (the more specific
error) when it applies so that callers who are iterating through
a space can easily look for an OutOfRange error to detect when
they are done.
</code></pre></td>
</tr>
<tr>
<td id="TensorFlow_TFCode_PermissionDenied">PermissionDenied</td>
<td><p>The caller does not have permission to execute the specified
operation. PermissionDenied must not be used for rejections
caused by exhausting some resource (use ResourceExhausted
instead for those errors). PermissionDeniedmust not be
used if the caller can not be identified (use Unauthenticated
instead for those errors).</p>
</td>
</tr>
<tr>
<td id="TensorFlow_TFCode_ResourceExhausted">ResourceExhausted</td>
<td><p>Some resource has been exhausted, perhaps a per-user quota, or
perhaps the entire file system is out of space.</p>
</td>
</tr>
<tr>
<td id="TensorFlow_TFCode_Unauthenticated">Unauthenticated</td>
<td><p>The request does not have valid authentication credentials for the
operation.</p>
</td>
</tr>
<tr>
<td id="TensorFlow_TFCode_Unavailable">Unavailable</td>
<td><p>The service is currently unavailable. This is a most likely a
transient condition and may be corrected by retrying with
a backoff.</p>
<pre><code> See litmus test above for deciding between FailedPrecondition,
Aborted, and Unavailable.
</code></pre></td>
</tr>
<tr>
<td id="TensorFlow_TFCode_Unimplemented">Unimplemented</td>
<td><p>Operation is not implemented or not supported/enabled in this service.</p>
</td>
</tr>
<tr>
<td id="TensorFlow_TFCode_Unknown">Unknown</td>
<td><p>Unknown error. An example of where this error may be returned is
if a Status value received from another address space belongs to
an error-space that is not known in this address space. Also
errors raised by APIs that do not return enough error information
may be converted to this error.</p>
</td>
</tr>
</tbody>
</thead></thead></table>
</article>
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