Rename python/cutlass to python/cutlass_cppgen (#2652)

python/cutlass_cppgen/backend/memory_manager.py

@@ -0,0 +1,121 @@
+#################################################################################################
+#
+# Copyright (c) 2017 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: BSD-3-Clause
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are met:
+#
+# 1. Redistributions of source code must retain the above copyright notice, this
+# list of conditions and the following disclaimer.
+#
+# 2. Redistributions in binary form must reproduce the above copyright notice,
+# this list of conditions and the following disclaimer in the documentation
+# and/or other materials provided with the distribution.
+#
+# 3. Neither the name of the copyright holder nor the names of its
+# contributors may be used to endorse or promote products derived from
+# this software without specific prior written permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+#
+#################################################################################################
+
+import numpy as np
+
+import cutlass_cppgen
+from cutlass_cppgen.utils.datatypes import is_numpy_tensor
+from cutlass_cppgen.utils.lazy_import import lazy_import
+
+if cutlass_cppgen.use_rmm:
+    import rmm
+else:
+    cudart = lazy_import("cuda.cudart")
+
+
+class PoolMemoryManager:
+    def __init__(self, init_pool_size: int, max_pool_size: int) -> None:
+        self.pool = rmm.mr.PoolMemoryResource(
+            rmm.mr.CudaMemoryResource(),
+            initial_pool_size=init_pool_size,
+            maximum_pool_size=max_pool_size
+        )
+        self.mr = rmm.mr.TrackingResourceAdaptor(self.pool)
+        rmm.mr.set_current_device_resource(self.mr)
+
+    def pool_size(self):
+        return self.pool.pool_size()
+
+
+class DevicePtrWrapper:
+    """
+    Wrapper around a pointer to device memory to provide a uniform interface with the RMM DeviceBuffer
+    (at least in terms of the interface used by the CUTLASS Python interface)
+    """
+    def __init__(self, dev_ptr):
+        self.dev_ptr = dev_ptr
+
+    @property
+    def ptr(self):
+        return self.dev_ptr
+
+
+def _todevice(host_data):
+    """
+    Helper for transferring host data to device memory
+    """
+    if cutlass_cppgen.use_rmm:
+        return rmm.DeviceBuffer.to_device(host_data.tobytes())
+    else:
+        nbytes = len(host_data.tobytes())
+        dev_ptr_wrapper = device_mem_alloc(nbytes)
+        err, = cudart.cudaMemcpy(
+            dev_ptr_wrapper.ptr,
+            host_data.__array_interface__['data'][0],
+            nbytes,
+            cudart.cudaMemcpyKind.cudaMemcpyHostToDevice
+        )
+        if err != cudart.cudaError_t.cudaSuccess:
+            raise Exception(f"cudaMemcpy failed with error {err}")
+        return dev_ptr_wrapper
+
+
+def todevice(host_data, dtype=np.float32):
+    """
+    Pass the host_data to device memory
+    """
+    if isinstance(host_data, list):
+        return _todevice(np.array(host_data, dtype=dtype))
+    elif is_numpy_tensor(host_data):
+        return _todevice(host_data)
+
+
+def device_mem_alloc(size):
+    if cutlass_cppgen.use_rmm:
+        return rmm.DeviceBuffer(size=size)
+    else:
+        err, ptr = cudart.cudaMalloc(size)
+        if err != cudart.cudaError_t.cudaSuccess:
+            raise Exception(f"cudaMalloc failed with error {err}")
+        return DevicePtrWrapper(ptr)
+
+
+def align_size(size, alignment=256):
+    return ((size + alignment - 1) // alignment) * alignment
+
+
+def create_memory_pool(init_pool_size=0, max_pool_size=2 ** 34):
+    if cutlass_cppgen.use_rmm:
+        memory_pool = PoolMemoryManager(init_pool_size=init_pool_size, max_pool_size=max_pool_size)
+        return memory_pool
+    else:
+        return None