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<a class="anchor" name="ge0969184de8a5c2d809aa8d7d2425484"></a><!-- doxytag: member="cuda_runtime.h::cudaFuncSetCacheConfig" ref="ge0969184de8a5c2d809aa8d7d2425484" args="(T *func, enum cudaFuncCache cacheConfig)" -->
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template<class T > </div>
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<td class="memname"><a class="el" href="group__CUDART__TYPES_gf599e5b8b829ce7db0f5216928f6ecb6.html#gf599e5b8b829ce7db0f5216928f6ecb6">cudaError_t</a> cudaFuncSetCacheConfig </td>
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<td class="paramtype">T * </td>
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<td class="paramtype">enum <a class="el" href="group__CUDART__TYPES_gb980f35ed69ee7991704de29a13de49b.html#gb980f35ed69ee7991704de29a13de49b">cudaFuncCache</a> </td>
<td class="paramname"> <em>cacheConfig</em></td><td> </td>
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On devices where the L1 cache and shared memory use the same hardware resources, this sets through <code>cacheConfig</code> the preferred cache configuration for the function specified via <code>func</code>. This is only a preference. The runtime will use the requested configuration if possible, but it is free to choose a different configuration if required to execute <code>func</code>.<p>
<code>func</code> can either be a pointer to a function that executes on the device, or it can be a character string specifying the fully-decorated (C++) name for a function that executes on the device. The parameter specified by <code>func</code> must be declared as a <code>__global__</code> function. If the specified function does not exist, then <a class="el" href="group__CUDART__TYPES_g3f51e3575c2178246db0a94a430e0038.html#gg3f51e3575c2178246db0a94a430e0038b6af535e7e53d3f21e2437e8977b8c2e">cudaErrorInvalidDeviceFunction</a> is returned.<p>
This setting does nothing on devices where the size of the L1 cache and shared memory are fixed.<p>
Launching a kernel with a different preference than the most recent preference setting may insert a device-side synchronization point.<p>
The supported cache configurations are:<ul>
<li><a class="el" href="group__CUDART__TYPES_gb980f35ed69ee7991704de29a13de49b.html#ggb980f35ed69ee7991704de29a13de49b3b4b8c65376ce1ca107be413e15981bc">cudaFuncCachePreferNone</a>: no preference for shared memory or L1 (default)</li><li><a class="el" href="group__CUDART__TYPES_gb980f35ed69ee7991704de29a13de49b.html#ggb980f35ed69ee7991704de29a13de49b84725d25c531f9bafc61ae329afe5b2b">cudaFuncCachePreferShared</a>: prefer larger shared memory and smaller L1 cache</li><li><a class="el" href="group__CUDART__TYPES_gb980f35ed69ee7991704de29a13de49b.html#ggb980f35ed69ee7991704de29a13de49b8ecb48ccbc2230c81528a2c7c695100e">cudaFuncCachePreferL1</a>: prefer larger L1 cache and smaller shared memory</li></ul>
<p>
<dl compact><dt><b>Parameters:</b></dt><dd>
<table border="0" cellspacing="2" cellpadding="0">
<tr><td valign="top"></td><td valign="top"><em>func</em> </td><td>- Char string naming device function </td></tr>
<tr><td valign="top"></td><td valign="top"><em>cacheConfig</em> </td><td>- Requested cache configuration</td></tr>
</table>
</dl>
<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#gg3f51e3575c2178246db0a94a430e0038ce7993a88ecf2c57b8102d55d997a18c">cudaErrorInitializationError</a>, <a class="el" href="group__CUDART__TYPES_g3f51e3575c2178246db0a94a430e0038.html#gg3f51e3575c2178246db0a94a430e0038b6af535e7e53d3f21e2437e8977b8c2e">cudaErrorInvalidDeviceFunction</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__EXECUTION_g19a7dd5a102b499c39f6a7648bec757a.html#g19a7dd5a102b499c39f6a7648bec757a" title="Configure a device-launch.">cudaConfigureCall</a>, <a class="el" href="group__CUDART__EXECUTION_g400ecf473d4fa8ac6738fbc753d5c288.html#g400ecf473d4fa8ac6738fbc753d5c288">cudaFuncSetCacheConfig (C API)</a>, <a class="el" href="group__CUDART__HIGHLEVEL_g0b85e087210b47056cb6fc03a0e264e8.html#g0b85e087210b47056cb6fc03a0e264e8">cudaFuncGetAttributes (C++ API)</a>, <a class="el" href="group__CUDART__EXECUTION_gfb689b458305548d37d91a265cfda9b0.html#gfb689b458305548d37d91a265cfda9b0">cudaLaunch (C API)</a>, <a class="el" href="group__CUDART__EXECUTION_gb9574eae787e2c3c91f4954542b17515.html#gb9574eae787e2c3c91f4954542b17515" title="Converts a double argument to be executed on a device.">cudaSetDoubleForDevice</a>, <a class="el" href="group__CUDART__EXECUTION_g857c928b6e8a9e4c4c2ec4d4cc5c4063.html#g857c928b6e8a9e4c4c2ec4d4cc5c4063" title="Converts a double argument after execution on a device.">cudaSetDoubleForHost</a>, <a class="el" href="group__CUDART__HIGHLEVEL_g0ffbffed226005960c39688493c94c84.html#g0ffbffed226005960c39688493c94c84">cudaSetupArgument (C++ API)</a>, <a class="el" href="group__CUDART__THREAD__DEPRECATED_g7a82ef85e4f7e0cff0a84b2f7f6bc63a.html#g7a82ef85e4f7e0cff0a84b2f7f6bc63a" title="Returns the preferred cache configuration for the current device.">cudaThreadGetCacheConfig</a>, <a class="el" href="group__CUDART__THREAD__DEPRECATED_g27d0f538b3018142bf04deae7f02c49e.html#g27d0f538b3018142bf04deae7f02c49e" title="Sets the preferred cache configuration for the current device.">cudaThreadSetCacheConfig</a> </dd></dl>
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