llm-profiler / constants.py
zenghaolun02
add demo
0c4803b
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####### llm profiler ############
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FLOPS_EFFICIENCY = 1.0 # FLOPS efficiency achieved by Megatron-LM is ~0.5 for LLM training
HBM_MEMORY_EFFICIENCY = 1 # GPU HBM memory efficiency
INTRA_NODE_MEMORY_EFFICIENCY = 1.0 # intra-node (nvlink) memory efficiency
INTER_NODE_MEMORY_EFFICIENCY = 1.0 # inter-node memory efficiency
NUM_GPUS_PER_NODE = 8 # number of GPUs per node
TOLERANCE = 0.01 # tolerance for floating point comparisons
BITS_PER_BYTE = 8 # number of bits in a byte
BITS_FP32 = 32 # number of bits in FP32 data type
BITS_FP16 = 16 # number of bits in FP16 data type
BITS_INT8 = 8 # number of bits in INT8 data type
BITS_INT4 = 4 # number of bits in INT4 data type
BYTES_FP32 = BITS_FP32 // BITS_PER_BYTE # number of bytes in FP32 data type
BYTES_FP16 = BITS_FP16 // BITS_PER_BYTE # number of bytes in FP16 data type
BYTES_INT8 = BITS_INT8 // BITS_PER_BYTE # number of bytes in INT8 data type
BYTES_INT4 = BITS_INT4 // BITS_PER_BYTE # number of bytes in INT4 data type
PRINT_LINE_WIDTH = 100
GPUS = [1, 2, 4, 8]