ops_disk doctrings
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tinygrad runtime.ops_disk
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-------------------------
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.. note:: You likely want the upstream tinygrad, not tinygrab.
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Tinygrab contains AI generated docstrings for a tinygrad snapshot.
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Upstream: https://tinygrad.org
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.. automodule:: tinygrad.runtime.ops_disk
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:members:
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:undoc-members:
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:show-inheritance:
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@ -22,6 +22,7 @@ tinygrad
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tinygrad-runtime-ops_clang
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tinygrad-runtime-ops_cpu
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tinygrad-runtime-ops_cuda
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tinygrad-runtime-ops_disk
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:maxdepth: 3
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:caption: Contents:
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@ -12,27 +12,77 @@ from tinygrad.shape.view import strides_for_shape
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class UnderlyingDiskBuffer:
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"""
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This class represents an underlying disk buffer. It is initialized with a file descriptor (fd) and memory (mem).
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Attributes:
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fd (file descriptor): The file descriptor of the disk buffer.
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mem (memory): The in-memory data associated with the disk buffer.
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"""
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def __init__(self, fd, mem):
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"""
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Constructs all the necessary attributes for the underlying disk buffer.
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Parameters:
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fd (file descriptor): The file descriptor of the disk buffer.
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mem (memory): The in-memory data associated with the disk buffer.
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"""
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self.fd, self.mem = fd, mem
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def __del__(self):
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"""
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Closes the file descriptor if it exists when the object is destroyed.
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"""
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if self.fd:
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self.fd.close()
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class DiskBuffer:
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"""
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Class for handling disk buffer operations.
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Attributes:
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ud (UnderlyingDiskBuffer): Underlying disk buffer.
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size (int): Size of the buffer.
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dtype (DType): Data type of the buffer elements. Default is dtypes.uint8.
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offset (int): Offset in the buffer. Default is 0.
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"""
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def __init__(
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self, ud: UnderlyingDiskBuffer, size: int, dtype: DType = dtypes.uint8, offset=0
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):
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self.ud, self.size, self.dtype, self.offset = ud, size, dtype, offset
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def __repr__(self):
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"""
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Return a string representation of the DiskBuffer object.
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Returns:
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str: String representation of the DiskBuffer object containing its size, data type and offset.
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"""
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return f"<DiskBuffer size={self.size} dtype={self.dtype} offset={self.offset}>"
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def cast(self, arg: Tuple[DType, bool]):
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"""
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Cast the DiskBuffer to a new data type.
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Args:
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arg (Tuple[DType, bool]): A tuple containing the new data type and a boolean value.
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Returns:
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DiskBuffer: A new DiskBuffer with the casted data type.
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"""
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return DiskBuffer(self.ud, self.size, arg[0], offset=self.offset)
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def as_strided(self, arg):
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"""
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Create a view of the original buffer with new dimensions and strides.
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Args:
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arg: A tuple containing the new shape, calculated strides and an offset.
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Returns:
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DiskBuffer: A new DiskBuffer with the reshaped data.
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"""
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assert strides_for_shape(arg[0]) == arg[1], "disk tensors don't support strides"
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return DiskBuffer(
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self.ud,
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@ -42,6 +92,12 @@ class DiskBuffer:
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)
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def _buf(self) -> memoryview:
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"""
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Return a memory view of the buffer.
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Returns:
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memoryview: A memory view of the underlying buffer.
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"""
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return memoryview(self.ud.mem)[
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self.offset : self.offset + self.size * self.dtype.itemsize
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]
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@ -56,10 +112,31 @@ MAP_LOCKED, MAP_POPULATE = 0x2000, 0x008000
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class DiskAllocator(Allocator):
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"""
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DiskAllocator class for allocating disk space.
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Attributes:
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device (str): The device to be used for allocation.
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"""
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def __init__(self, device):
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"""
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Initializes the DiskAllocator object.
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Parameters:
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device (str): The device to use for disk allocation.
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"""
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self.device = device
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def _alloc(self, size):
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"""
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Allocates memory from the device.
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Parameters:
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size (int): Size of the memory to allocate in bytes.
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Returns:
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DiskBuffer: A DiskBuffer object representing the allocated memory.
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"""
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if str(self.device).startswith("shm:"):
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if OSX:
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with open(f"/tmp/shm_{self.device[4:]}", "w+b") as f:
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@ -82,12 +159,35 @@ class DiskAllocator(Allocator):
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return DiskBuffer(buf, size)
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def as_buffer(self, src: DiskBuffer):
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"""
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Returns the underlying buffer of a DiskBuffer object.
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Parameters:
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src (DiskBuffer): The DiskBuffer object to get the buffer from.
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Returns:
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UnderlyingDiskBuffer: The underlying buffer of the DiskBuffer object.
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"""
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return src._buf()
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def copyin(self, dest: DiskBuffer, src: memoryview):
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"""
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Copies data from a memoryview object to a DiskBuffer object.
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Parameters:
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dest (DiskBuffer): The destination DiskBuffer object.
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src (memoryview): The source memoryview object.
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"""
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dest._buf()[:] = src
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def copyout(self, dest: memoryview, src: DiskBuffer):
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"""
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Copies data from a DiskBuffer object to a memoryview object.
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Parameters:
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dest (memoryview): The destination memoryview object.
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src (DiskBuffer): The source DiskBuffer object.
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"""
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if src.ud.fd is not None:
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src.ud.fd.seek(src.offset)
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src.ud.fd.readinto(dest)
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@ -96,5 +196,16 @@ class DiskAllocator(Allocator):
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class DiskDevice(Interpreted):
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"""
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Initialize a new DiskDevice object.
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Parameters:
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device (str): The device identifier for the disk to be allocated.
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Attributes:
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super (Interpreted): Inherit from the Interpreted class.
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DiskAllocator (DiskAllocator): Initialize a new DiskAllocator object with the given device.
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disk_fxn_for_op (function): The function to be used for performing operations on the disk.
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"""
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def __init__(self, device):
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super().__init__(DiskAllocator(device[5:]), disk_fxn_for_op)
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