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| <section id="pyarrow-cuda-context"> |
| <h1>pyarrow.cuda.Context<a class="headerlink" href="#pyarrow-cuda-context" title="Permalink to this heading">#</a></h1> |
| <dl class="py class"> |
| <dt class="sig sig-object py" id="pyarrow.cuda.Context"> |
| <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyarrow.cuda.</span></span><span class="sig-name descname"><span class="pre">Context</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.cuda.Context" title="Permalink to this definition">#</a></dt> |
| <dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">_Weakrefable</span></code></p> |
| <p>CUDA driver context.</p> |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.cuda.Context.__init__"> |
| <span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.cuda.Context.__init__" title="Permalink to this definition">#</a></dt> |
| <dd><p>Create a CUDA driver context for a particular device.</p> |
| <p>If a CUDA context handle is passed, it is wrapped, otherwise |
| a default CUDA context for the given device is requested.</p> |
| <dl class="field-list"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>device_number</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">int</span></code></a> (default 0)</span></dt><dd><p>Specify the GPU device for which the CUDA driver context is |
| requested.</p> |
| </dd> |
| <dt><strong>handle</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">int</span></code></a>, optional</span></dt><dd><p>Specify CUDA handle for a shared context that has been created |
| by another library.</p> |
| </dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <p class="rubric">Methods</p> |
| <table class="autosummary longtable table autosummary"> |
| <tbody> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.cuda.Context.__init__" title="pyarrow.cuda.Context.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a></p></td> |
| <td><p>Create a CUDA driver context for a particular device.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.cuda.Context.buffer_from_data" title="pyarrow.cuda.Context.buffer_from_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">buffer_from_data</span></code></a>(self, data, ...)</p></td> |
| <td><p>Create device buffer and initialize with data.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.cuda.Context.buffer_from_object" title="pyarrow.cuda.Context.buffer_from_object"><code class="xref py py-obj docutils literal notranslate"><span class="pre">buffer_from_object</span></code></a>(self, obj)</p></td> |
| <td><p>Create device buffer view of arbitrary object that references device accessible memory.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.cuda.Context.foreign_buffer" title="pyarrow.cuda.Context.foreign_buffer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">foreign_buffer</span></code></a>(self, address, size[, base])</p></td> |
| <td><p>Create device buffer from address and size as a view.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.cuda.Context.from_numba" title="pyarrow.cuda.Context.from_numba"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_numba</span></code></a>([context])</p></td> |
| <td><p>Create a Context instance from a Numba CUDA context.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.cuda.Context.get_device_address" title="pyarrow.cuda.Context.get_device_address"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_device_address</span></code></a>(self, uintptr_t address)</p></td> |
| <td><p>Return the device address that is reachable from kernels running in the context</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.cuda.Context.get_num_devices" title="pyarrow.cuda.Context.get_num_devices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_num_devices</span></code></a>()</p></td> |
| <td><p>Return the number of GPU devices.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.cuda.Context.new_buffer" title="pyarrow.cuda.Context.new_buffer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">new_buffer</span></code></a>(self, int64_t nbytes)</p></td> |
| <td><p>Return new device buffer.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.cuda.Context.open_ipc_buffer" title="pyarrow.cuda.Context.open_ipc_buffer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">open_ipc_buffer</span></code></a>(self, ipc_handle)</p></td> |
| <td><p>Open existing CUDA IPC memory handle</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.cuda.Context.synchronize" title="pyarrow.cuda.Context.synchronize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">synchronize</span></code></a>(self)</p></td> |
| <td><p>Blocks until the device has completed all preceding requested tasks.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.cuda.Context.to_numba" title="pyarrow.cuda.Context.to_numba"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_numba</span></code></a>(self)</p></td> |
| <td><p>Convert Context to a Numba CUDA context.</p></td> |
| </tr> |
| </tbody> |
| </table> |
| <p class="rubric">Attributes</p> |
| <table class="autosummary longtable table autosummary"> |
| <tbody> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.cuda.Context.bytes_allocated" title="pyarrow.cuda.Context.bytes_allocated"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bytes_allocated</span></code></a></p></td> |
| <td><p>Return the number of allocated bytes.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.cuda.Context.device_number" title="pyarrow.cuda.Context.device_number"><code class="xref py py-obj docutils literal notranslate"><span class="pre">device_number</span></code></a></p></td> |
| <td><p>Return context device number.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.cuda.Context.handle" title="pyarrow.cuda.Context.handle"><code class="xref py py-obj docutils literal notranslate"><span class="pre">handle</span></code></a></p></td> |
| <td><p>Return pointer to context handle.</p></td> |
| </tr> |
| </tbody> |
| </table> |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.cuda.Context.buffer_from_data"> |
| <span class="sig-name descname"><span class="pre">buffer_from_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int64_t</span> <span class="pre">offset=0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int64_t</span> <span class="pre">size=-1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.cuda.Context.buffer_from_data" title="Permalink to this definition">#</a></dt> |
| <dd><p>Create device buffer and initialize with data.</p> |
| <dl class="field-list"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>data</strong><span class="classifier">{<a class="reference internal" href="pyarrow.cuda.CudaBuffer.html#pyarrow.cuda.CudaBuffer" title="pyarrow.cuda.CudaBuffer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CudaBuffer</span></code></a>, <a class="reference internal" href="pyarrow.cuda.HostBuffer.html#pyarrow.cuda.HostBuffer" title="pyarrow.cuda.HostBuffer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">HostBuffer</span></code></a>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">Buffer</span></code>, <a class="reference internal" href="pyarrow.array.html#pyarrow.array" title="pyarrow.array"><code class="xref py py-func docutils literal notranslate"><span class="pre">array-like</span></code></a>}</span></dt><dd><p>Specify data to be copied to device buffer.</p> |
| </dd> |
| <dt><strong>offset</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">int</span></code></a></span></dt><dd><p>Specify the offset of input buffer for device data |
| buffering. Default: 0.</p> |
| </dd> |
| <dt><strong>size</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">int</span></code></a></span></dt><dd><p>Specify the size of device buffer in bytes. Default: all |
| (starting from input offset)</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns<span class="colon">:</span></dt> |
| <dd class="field-even"><dl> |
| <dt><strong>cbuf</strong><span class="classifier"><a class="reference internal" href="pyarrow.cuda.CudaBuffer.html#pyarrow.cuda.CudaBuffer" title="pyarrow.cuda.CudaBuffer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CudaBuffer</span></code></a></span></dt><dd><p>Device buffer with copied data.</p> |
| </dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.cuda.Context.buffer_from_object"> |
| <span class="sig-name descname"><span class="pre">buffer_from_object</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">obj</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.cuda.Context.buffer_from_object" title="Permalink to this definition">#</a></dt> |
| <dd><p>Create device buffer view of arbitrary object that references |
| device accessible memory.</p> |
| <p>When the object contains a non-contiguous view of device |
| accessible memory then the returned device buffer will contain |
| contiguous view of the memory, that is, including the |
| intermediate data that is otherwise invisible to the input |
| object.</p> |
| <dl class="field-list"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>obj</strong><span class="classifier">{object, <code class="xref py py-obj docutils literal notranslate"><span class="pre">Buffer</span></code>, <a class="reference internal" href="pyarrow.cuda.HostBuffer.html#pyarrow.cuda.HostBuffer" title="pyarrow.cuda.HostBuffer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">HostBuffer</span></code></a>, <a class="reference internal" href="pyarrow.cuda.CudaBuffer.html#pyarrow.cuda.CudaBuffer" title="pyarrow.cuda.CudaBuffer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CudaBuffer</span></code></a>, …}</span></dt><dd><p>Specify an object that holds (device or host) address that |
| can be accessed from device. This includes objects with |
| types defined in pyarrow.cuda as well as arbitrary objects |
| that implement the CUDA array interface as defined by numba.</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns<span class="colon">:</span></dt> |
| <dd class="field-even"><dl> |
| <dt><strong>cbuf</strong><span class="classifier"><a class="reference internal" href="pyarrow.cuda.CudaBuffer.html#pyarrow.cuda.CudaBuffer" title="pyarrow.cuda.CudaBuffer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CudaBuffer</span></code></a></span></dt><dd><p>Device buffer as a view of device accessible memory.</p> |
| </dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.cuda.Context.bytes_allocated"> |
| <span class="sig-name descname"><span class="pre">bytes_allocated</span></span><a class="headerlink" href="#pyarrow.cuda.Context.bytes_allocated" title="Permalink to this definition">#</a></dt> |
| <dd><p>Return the number of allocated bytes.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.cuda.Context.device_number"> |
| <span class="sig-name descname"><span class="pre">device_number</span></span><a class="headerlink" href="#pyarrow.cuda.Context.device_number" title="Permalink to this definition">#</a></dt> |
| <dd><p>Return context device number.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.cuda.Context.foreign_buffer"> |
| <span class="sig-name descname"><span class="pre">foreign_buffer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">address</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.cuda.Context.foreign_buffer" title="Permalink to this definition">#</a></dt> |
| <dd><p>Create device buffer from address and size as a view.</p> |
| <p>The caller is responsible for allocating and freeing the |
| memory. When <cite>address==size==0</cite> then a new zero-sized buffer |
| is returned.</p> |
| <dl class="field-list"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>address</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">int</span></code></a></span></dt><dd><p>Specify the starting address of the buffer. The address can |
| refer to both device or host memory but it must be |
| accessible from device after mapping it with |
| <cite>get_device_address</cite> method.</p> |
| </dd> |
| <dt><strong>size</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">int</span></code></a></span></dt><dd><p>Specify the size of device buffer in bytes.</p> |
| </dd> |
| <dt><strong>base</strong><span class="classifier">{<a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">None</span></code></a>, object}</span></dt><dd><p>Specify object that owns the referenced memory.</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns<span class="colon">:</span></dt> |
| <dd class="field-even"><dl> |
| <dt><strong>cbuf</strong><span class="classifier"><a class="reference internal" href="pyarrow.cuda.CudaBuffer.html#pyarrow.cuda.CudaBuffer" title="pyarrow.cuda.CudaBuffer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CudaBuffer</span></code></a></span></dt><dd><p>Device buffer as a view of device reachable memory.</p> |
| </dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.cuda.Context.from_numba"> |
| <em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_numba</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">context</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.cuda.Context.from_numba" title="Permalink to this definition">#</a></dt> |
| <dd><p>Create a Context instance from a Numba CUDA context.</p> |
| <dl class="field-list"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>context</strong><span class="classifier">{<code class="xref py py-obj docutils literal notranslate"><span class="pre">numba.cuda.cudadrv.driver.Context</span></code>, <a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">None</span></code></a>}</span></dt><dd><p>A Numba CUDA context instance. |
| If None, the current Numba context is used.</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns<span class="colon">:</span></dt> |
| <dd class="field-even"><dl> |
| <dt><strong>shared_context</strong><span class="classifier"><a class="reference internal" href="#pyarrow.cuda.Context" title="pyarrow.cuda.Context"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pyarrow.cuda.Context</span></code></a></span></dt><dd><p>Context instance.</p> |
| </dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.cuda.Context.get_device_address"> |
| <span class="sig-name descname"><span class="pre">get_device_address</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">uintptr_t</span> <span class="pre">address</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.cuda.Context.get_device_address" title="Permalink to this definition">#</a></dt> |
| <dd><p>Return the device address that is reachable from kernels running in |
| the context</p> |
| <dl class="field-list"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>address</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">int</span></code></a></span></dt><dd><p>Specify memory address value</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns<span class="colon">:</span></dt> |
| <dd class="field-even"><dl> |
| <dt><strong>device_address</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">int</span></code></a></span></dt><dd><p>Device address accessible from device context</p> |
| </dd> |
| </dl> |
| </dd> |
| </dl> |
| <p class="rubric">Notes</p> |
| <p>The device address is defined as a memory address accessible |
| by device. While it is often a device memory address but it |
| can be also a host memory address, for instance, when the |
| memory is allocated as host memory (using cudaMallocHost or |
| cudaHostAlloc) or as managed memory (using cudaMallocManaged) |
| or the host memory is page-locked (using cudaHostRegister).</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.cuda.Context.get_num_devices"> |
| <em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_num_devices</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.cuda.Context.get_num_devices" title="Permalink to this definition">#</a></dt> |
| <dd><p>Return the number of GPU devices.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.cuda.Context.handle"> |
| <span class="sig-name descname"><span class="pre">handle</span></span><a class="headerlink" href="#pyarrow.cuda.Context.handle" title="Permalink to this definition">#</a></dt> |
| <dd><p>Return pointer to context handle.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.cuda.Context.new_buffer"> |
| <span class="sig-name descname"><span class="pre">new_buffer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int64_t</span> <span class="pre">nbytes</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.cuda.Context.new_buffer" title="Permalink to this definition">#</a></dt> |
| <dd><p>Return new device buffer.</p> |
| <dl class="field-list"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>nbytes</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">int</span></code></a></span></dt><dd><p>Specify the number of bytes to be allocated.</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns<span class="colon">:</span></dt> |
| <dd class="field-even"><dl> |
| <dt><strong>buf</strong><span class="classifier"><a class="reference internal" href="pyarrow.cuda.CudaBuffer.html#pyarrow.cuda.CudaBuffer" title="pyarrow.cuda.CudaBuffer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CudaBuffer</span></code></a></span></dt><dd><p>Allocated buffer.</p> |
| </dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.cuda.Context.open_ipc_buffer"> |
| <span class="sig-name descname"><span class="pre">open_ipc_buffer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ipc_handle</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.cuda.Context.open_ipc_buffer" title="Permalink to this definition">#</a></dt> |
| <dd><p>Open existing CUDA IPC memory handle</p> |
| <dl class="field-list"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>ipc_handle</strong><span class="classifier"><a class="reference internal" href="pyarrow.cuda.IpcMemHandle.html#pyarrow.cuda.IpcMemHandle" title="pyarrow.cuda.IpcMemHandle"><code class="xref py py-obj docutils literal notranslate"><span class="pre">IpcMemHandle</span></code></a></span></dt><dd><p>Specify opaque pointer to CUipcMemHandle (driver API).</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns<span class="colon">:</span></dt> |
| <dd class="field-even"><dl> |
| <dt><strong>buf</strong><span class="classifier"><a class="reference internal" href="pyarrow.cuda.CudaBuffer.html#pyarrow.cuda.CudaBuffer" title="pyarrow.cuda.CudaBuffer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CudaBuffer</span></code></a></span></dt><dd><p>referencing device buffer</p> |
| </dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.cuda.Context.synchronize"> |
| <span class="sig-name descname"><span class="pre">synchronize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.cuda.Context.synchronize" title="Permalink to this definition">#</a></dt> |
| <dd><p>Blocks until the device has completed all preceding requested |
| tasks.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.cuda.Context.to_numba"> |
| <span class="sig-name descname"><span class="pre">to_numba</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.cuda.Context.to_numba" title="Permalink to this definition">#</a></dt> |
| <dd><p>Convert Context to a Numba CUDA context.</p> |
| <dl class="field-list"> |
| <dt class="field-odd">Returns<span class="colon">:</span></dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>context</strong><span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">numba.cuda.cudadrv.driver.Context</span></code></span></dt><dd><p>Numba CUDA context instance.</p> |
| </dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| </dd></dl> |
| |
| </section> |
| |
| |
| </article> |
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| <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#pyarrow.cuda.Context.__init__"><code class="docutils literal notranslate"><span class="pre">Context.__init__()</span></code></a></li> |
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| <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#pyarrow.cuda.Context.get_num_devices"><code class="docutils literal notranslate"><span class="pre">Context.get_num_devices()</span></code></a></li> |
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| <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#pyarrow.cuda.Context.to_numba"><code class="docutils literal notranslate"><span class="pre">Context.to_numba()</span></code></a></li> |
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