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Merged
jeffra merged 3 commits into from
Oct 20, 2022
Merged

[memory estimators] new config args sync #2431

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9f4c8be
[memory estimators] new config args sync
stas00 Oct 18, 2022
aabfb81
Merge branch 'master' into mem-est-2
tjruwase Oct 18, 2022
de89cd5
Merge branch 'master' into mem-est-2
jeffra Oct 20, 2022
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34 changes: 18 additions & 16 deletions docs/code-docs/source/memory.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -21,12 +21,13 @@ Let's try a 3B model with just 1 node with 8 gpus, using live model:
from deepspeed.runtime.zero.stage_1_and_2 import estimate_zero2_model_states_mem_needs_all_live; \
model = AutoModel.from_pretrained("t5-3b"); \
estimate_zero2_model_states_mem_needs_all_live(model, num_gpus_per_node=8, num_nodes=1)'

Estimated memory needed for params, optim states and gradients for a:
HW: Setup with 1 node, 8 GPUs per node.
SW: Model with 2851M total params.
per CPU | per GPU | Options
127.48GB | 5.31GB | cpu_offload=1
127.48GB | 15.93GB | cpu_offload=0
127.48GB | 5.31GB | offload_optimizer=cpu
127.48GB | 15.93GB | offload_optimizer=none

Now, without the actual model, which requires us to know ``total_params`` and
``largest_layer_params``, but we got those from the run above, so future estimators are now much
Expand All @@ -36,12 +37,13 @@ faster as we don't need to load the model.

python -c 'from deepspeed.runtime.zero.stage_1_and_2 import estimate_zero2_model_states_mem_needs_all_cold; \
estimate_zero2_model_states_mem_needs_all_cold(total_params=2851e6, num_gpus_per_node=8, num_nodes=1)'

Estimated memory needed for params, optim states and gradients for a:
HW: Setup with 1 node, 8 GPUs per node.
SW: Model with 2851M total params.
per CPU | per GPU | Options
127.45GB | 5.31GB | cpu_offload=1
127.45GB | 15.93GB | cpu_offload=0
127.45GB | 5.31GB | offload_optimizer=cpu
127.45GB | 15.93GB | offload_optimizer=none

There is a slight difference due to rounding - the actual live model has a few more params

Expand All @@ -67,12 +69,12 @@ Let's try a 3B model with just 1 node with 8 gpus, using live model:
HW: Setup with 1 node, 8 GPUs per node.
SW: Model with 2851M total params, 32M largest layer params.
per CPU | per GPU | Options
71.71GB | 0.12GB | cpu_offload=1, cpu_offload_params=1, zero_init=1
127.48GB | 0.12GB | cpu_offload=1, cpu_offload_params=1, zero_init=0
63.74GB | 0.79GB | cpu_offload=1, cpu_offload_params=0, zero_init=1
127.48GB | 0.79GB | cpu_offload=1, cpu_offload_params=0, zero_init=0
1.47GB | 6.10GB | cpu_offload=0, cpu_offload_params=0, zero_init=1
127.48GB | 6.10GB | cpu_offload=0, cpu_offload_params=0, zero_init=0
71.71GB | 0.12GB | offload_param=cpu , offload_optimizer=cpu , zero_init=1
127.48GB | 0.12GB | offload_param=cpu , offload_optimizer=cpu , zero_init=0
63.74GB | 0.79GB | offload_param=none, offload_optimizer=cpu , zero_init=1
127.48GB | 0.79GB | offload_param=none, offload_optimizer=cpu , zero_init=0
1.47GB | 6.10GB | offload_param=none, offload_optimizer=none, zero_init=1
127.48GB | 6.10GB | offload_param=none, offload_optimizer=none, zero_init=0

Now, without the actual model, which requires us to know ``total_params`` and
``largest_layer_params``, but we got those from the run above, so future estimators are now much
Expand All @@ -87,12 +89,12 @@ faster as we don't need to load the model.
HW: Setup with 1 node, 8 GPUs per node.
SW: Model with 2851M total params, 32M largest layer params.
per CPU | per GPU | Options
71.69GB | 0.12GB | cpu_offload=1, cpu_offload_params=1, zero_init=1
127.45GB | 0.12GB | cpu_offload=1, cpu_offload_params=1, zero_init=0
63.72GB | 0.78GB | cpu_offload=1, cpu_offload_params=0, zero_init=1
127.45GB | 0.78GB | cpu_offload=1, cpu_offload_params=0, zero_init=0
1.43GB | 6.09GB | cpu_offload=0, cpu_offload_params=0, zero_init=1
127.45GB | 6.09GB | cpu_offload=0, cpu_offload_params=0, zero_init=0
71.69GB | 0.12GB | offload_param=cpu , offload_optimizer=cpu , zero_init=1
127.45GB | 0.12GB | offload_param=cpu , offload_optimizer=cpu , zero_init=0
63.72GB | 0.78GB | offload_param=none, offload_optimizer=cpu , zero_init=1
127.45GB | 0.78GB | offload_param=none, offload_optimizer=cpu , zero_init=0
1.43GB | 6.09GB | offload_param=none, offload_optimizer=none, zero_init=1
127.45GB | 6.09GB | offload_param=none, offload_optimizer=none, zero_init=0

There is a slight difference due to rounding - the actual live model has a few more params

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