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Mojo function

get_conv_num_partitions

def get_conv_num_partitions[micro_kernel_w: Int, micro_kernel_f: Int](num_threads: Int, conv_shape: ConvShape) -> IndexList[Int(4)]

Partition the workload in (batch, C, F, HOWO) dimensions. HOWO is the combination of HO and WO dimensions. The actual number of tasks are the product of return num_partitions.

Parameters:

micro_kernel_w (Int): Micro-kernel width in the spatial dimension, used as the partition granularity for row tasks.
micro_kernel_f (Int): Micro-kernel size in the filter dimension, used as the partition granularity for column tasks.

Args:

num_threads (Int): Number of worker threads available.
conv_shape (ConvShape): Convolution shape describing the workload.

Returns:

IndexList[Int(4)]