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<a class="anchor" name="gfd87d16d2bbf4bc41a892f3f75bac5e0"></a><!-- doxytag: member="cuda_runtime_api.h::cudaThreadGetLimit" ref="gfd87d16d2bbf4bc41a892f3f75bac5e0" args="(size_t *pValue, enum cudaLimit limit)" -->
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<td class="memname"><a class="el" href="group__CUDART__TYPES_gf599e5b8b829ce7db0f5216928f6ecb6.html#gf599e5b8b829ce7db0f5216928f6ecb6">cudaError_t</a> cudaThreadGetLimit </td>
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<td class="paramtype">size_t * </td>
<td class="paramname"> <em>pValue</em>, </td>
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<td class="paramtype">enum <a class="el" href="group__CUDART__TYPES_g4c4b34c054d383b0e9a63ab0ffc93651.html#g4c4b34c054d383b0e9a63ab0ffc93651">cudaLimit</a> </td>
<td class="paramname"> <em>limit</em></td><td> </td>
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<dl compact><dt><b><a class="el" href="deprecated.html#_deprecated000004">Deprecated:</a></b></dt><dd></dd></dl>
Note that this function is deprecated because its name does not reflect its behavior. Its functionality is identical to the non-deprecated function <a class="el" href="group__CUDART__DEVICE_g50e098f554dbfca0ef054e7b7d39d06e.html#g50e098f554dbfca0ef054e7b7d39d06e" title="Returns resource limits.">cudaDeviceGetLimit()</a>, which should be used instead.<p>
Returns in <code>*pValue</code> the current size of <code>limit</code>. The supported <a class="el" href="group__CUDART__TYPES_g4c4b34c054d383b0e9a63ab0ffc93651.html#g4c4b34c054d383b0e9a63ab0ffc93651">cudaLimit</a> values are:<ul>
<li><a class="el" href="group__CUDART__TYPES_g4c4b34c054d383b0e9a63ab0ffc93651.html#gg4c4b34c054d383b0e9a63ab0ffc93651fc8f54e641c9b133f1b57703d22ce656">cudaLimitStackSize</a>: stack size of each GPU thread;</li><li><a class="el" href="group__CUDART__TYPES_g4c4b34c054d383b0e9a63ab0ffc93651.html#gg4c4b34c054d383b0e9a63ab0ffc9365123b80a6221a6853e918c2816bb76742c">cudaLimitPrintfFifoSize</a>: size of the shared FIFO used by the printf() and fprintf() device system calls.</li><li><a class="el" href="group__CUDART__TYPES_g4c4b34c054d383b0e9a63ab0ffc93651.html#gg4c4b34c054d383b0e9a63ab0ffc93651b399716bf0a592bc42055473c1273881">cudaLimitMallocHeapSize</a>: size of the heap used by the malloc() and free() device system calls;</li></ul>
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<dl compact><dt><b>Parameters:</b></dt><dd>
<table border="0" cellspacing="2" cellpadding="0">
<tr><td valign="top"></td><td valign="top"><em>limit</em> </td><td>- Limit to query </td></tr>
<tr><td valign="top"></td><td valign="top"><em>pValue</em> </td><td>- Returned size in bytes of limit</td></tr>
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<dl class="return" compact><dt><b>Returns:</b></dt><dd><a class="el" href="group__CUDART__TYPES_g3f51e3575c2178246db0a94a430e0038.html#gg3f51e3575c2178246db0a94a430e0038e355f04607d824883b4a50662830d591">cudaSuccess</a>, <a class="el" href="group__CUDART__TYPES_g3f51e3575c2178246db0a94a430e0038.html#gg3f51e3575c2178246db0a94a430e0038c3b950b6f8668f7282fae25bfcefd13a">cudaErrorUnsupportedLimit</a>, <a class="el" href="group__CUDART__TYPES_g3f51e3575c2178246db0a94a430e0038.html#gg3f51e3575c2178246db0a94a430e00383e8aef5398ee38e28ed41e357b48917c">cudaErrorInvalidValue</a> </dd></dl>
<dl class="note" compact><dt><b>Note:</b></dt><dd>Note that this function may also return error codes from previous, asynchronous launches.</dd></dl>
<dl class="see" compact><dt><b>See also:</b></dt><dd><a class="el" href="group__CUDART__DEVICE_g50e098f554dbfca0ef054e7b7d39d06e.html#g50e098f554dbfca0ef054e7b7d39d06e" title="Returns resource limits.">cudaDeviceGetLimit</a> </dd></dl>
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