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authorTim Dettmers <dettmers@klone1.hyak.uw.edu>2021-10-21 15:53:20 -0700
committerTim Dettmers <dettmers@klone1.hyak.uw.edu>2021-10-21 15:53:20 -0700
commit1ec0d54529a4b8fb79b60ba9149424a420cc7c98 (patch)
tree3f2af40076073df7bbc4ba0d6dcb3749a99e44a5
parenteaf35ab9499fda4348f9df9c8a190c104884986c (diff)
Added analysis Adam.
-rw-r--r--BUCK25
-rw-r--r--bitsandbytes/optim/adam.py8
2 files changed, 7 insertions, 26 deletions
diff --git a/BUCK b/BUCK
deleted file mode 100644
index 8ba6ac3..0000000
--- a/BUCK
+++ /dev/null
@@ -1,25 +0,0 @@
-prebuilt_python_library(
- name = 'bnb-cuda102',
- binary_src = ':bnb-cuda102-wheel',
-)
-
-
-remote_file(
- name = 'bnb-cuda102-wheel',
- url = 'https://test-files.pythonhosted.org/packages/4e/69/025b08bf1b7e777ca3800dc79ebe9dfd7309931f0a5f3de132d1433076ff/bitsandbytes_cuda102-0.0.22-py3-none-any.whl',
- sha1 = '8c89e640afab18cdc6b7c5924c70e25036811686',
- )
-
-
-prebuilt_python_library(
- name = 'bnb-cuda111',
- binary_src = ':bnb-cuda111-wheel',
-)
-
-
-remote_file(
- name = 'bnb-cuda111-wheel',
- url = 'https://test-files.pythonhosted.org/packages/f9/38/2179701c80ae2aa9606bce7d498f397bd94e7bb2ff7e7c30ed032a3a39c2/bitsandbytes_cuda111-0.0.22-py3-none-any.whl',
- sha1 = '433f534b225bc29391782c8a9d82635bc0eb9d33',
- )
-
diff --git a/bitsandbytes/optim/adam.py b/bitsandbytes/optim/adam.py
index f00e5db..c1f455f 100644
--- a/bitsandbytes/optim/adam.py
+++ b/bitsandbytes/optim/adam.py
@@ -3,6 +3,7 @@
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from bitsandbytes.optim.optimizer import Optimizer2State
+import bitsandbytes.functional as F
class Adam(Optimizer2State):
def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8,
@@ -28,7 +29,7 @@ class Adam32bit(Optimizer2State):
class AnalysisAdam(torch.optim.Optimizer):
- """Implements 8-bit Adam and performs error analysis.
+ """Adam that performs 8-bit vs 32-bit error analysis.
This implementation is modified from torch.optim.Adam based on:
`Fixed Weight Decay Regularization in Adam`
@@ -190,6 +191,11 @@ class AnalysisAdam(torch.optim.Optimizer):
state1 = F.dequantize_no_absmax(C1, code1)
C2 = F.quantize_no_absmax(exp_avg_sq, code=code2)
state2 = F.dequantize_no_absmax(C2, code2)
+ elif self.analysis == 'my-quantization-routine':
+ # 1. get code
+ # 2. quantize
+ # 3. dequantize
+ # Error will be calculated automatically!
else:
raise ValueError(f'Invalid analysis value: {self.analysis}!')