derek-thomas HF staff commited on
Commit
0847403
1 Parent(s): a50b299

Fixing naming

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Files changed (1) hide show
  1. calc_params.py +43 -0
calc_params.py ADDED
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+ import math
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+
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+ # Helper function to pretty-print message sizes
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+ def convert_params(params):
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+ if params == 0:
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+ return "0"
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+ size_name = ("", "K", "M", "B", "T", "P", "E", "Z", "Y")
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+ i = int(math.floor(math.log(params, 1000)))
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+ p = math.pow(1000, i)
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+ s = round(params / p, 2)
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+ return "%s %s" % (s, size_name[i])
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+
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+ # Parameter Calculation function
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+ def calc_params(vocab_size, tied_embeddings, hidden_size, sequence_length, num_layers, moe, num_experts, expert_interval, topk, ffn_expansion_factor, num_mlp_linears, kv_size_ratio):
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+ if tied_embeddings:
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+ embedding_params = hidden_size * vocab_size
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+ else:
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+ embedding_params = 2 * hidden_size * vocab_size
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+ position_embedding_params = hidden_size * sequence_length
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+ attention_params = int(2 * (1 + kv_size_ratio) * num_layers * hidden_size * hidden_size)
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+ layernorm_params = 13 * num_layers * hidden_size
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+
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+ if moe:
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+ num_expert_layers = num_layers / expert_interval
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+ ffn_expert_params = num_mlp_linears * ffn_expansion_factor * num_expert_layers * num_experts * hidden_size * hidden_size
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+ ffn_dense_params = num_mlp_linears * ffn_expansion_factor * (num_layers - num_expert_layers) * hidden_size * hidden_size
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+ ffn_params = ffn_expert_params + ffn_dense_params
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+ gating_params = num_expert_layers * hidden_size * num_experts
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+ else:
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+ ffn_params = num_mlp_linears * ffn_expansion_factor * num_layers * hidden_size * hidden_size
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+
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+ total_params = embedding_params + attention_params + ffn_params + position_embedding_params + layernorm_params
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+
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+ if moe:
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+ total_params += gating_params
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+
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+ return f"""
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+ Embedding parameters: {convert_params(embedding_params)}
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+ Attention parameters: {convert_params(attention_params)}
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+ FFN parameters: {convert_params(ffn_params)}
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+ {'Gating parameters: ' + convert_params(gating_params) if moe else ''}
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+ Total Params in the Model: {convert_params(total_params)}
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+ """