Daniel Povey
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78f3cba58c
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Add logging about memory used.
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2022-10-25 19:19:33 +08:00 |
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Daniel Povey
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6a6df19bde
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Hopefully make penalize_abs_values_gt more memory efficient.
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2022-10-25 18:41:33 +08:00 |
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Daniel Povey
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dbfbd8016b
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Cast to float16 in DoubleSwish forward
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2022-10-25 13:16:00 +08:00 |
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Daniel Povey
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3159b09e8f
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Make 20 the limit for warmup_count
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2022-10-25 12:58:27 +08:00 |
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Daniel Povey
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6ebff23cb9
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Reduce cutoff from 100 to 5 for estimating OOM with warmup
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2022-10-25 12:53:12 +08:00 |
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Daniel Povey
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9da5526659
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Changes to more accurately estimate OOM conditions
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2022-10-25 12:49:18 +08:00 |
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Daniel Povey
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1e8984174b
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Change to warmup schedule.
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2022-10-25 12:27:00 +08:00 |
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Daniel Povey
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36cb279318
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More memory efficient backprop for DoubleSwish.
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2022-10-25 12:21:22 +08:00 |
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Fangjun Kuang
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499ac24ecb
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Install kaldifst for GitHub actions (#632)
* Install kaldifst for GitHub actions
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2022-10-24 15:07:29 +08:00 |
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Daniel Povey
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95aaa4a8d2
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Store only half precision output for softmax.
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2022-10-23 21:24:46 +08:00 |
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Daniel Povey
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d3876e32c4
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Make it use float16 if in amp but use clamp to avoid wrapping error
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2022-10-23 21:13:23 +08:00 |
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Daniel Povey
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85657946bb
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Try a more exact way to round to uint8 that should prevent ever wrapping around to zero
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2022-10-23 20:56:26 +08:00 |
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Daniel Povey
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d6aa386552
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Fix randn to rand
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2022-10-23 17:19:19 +08:00 |
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Daniel Povey
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e586cc319c
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Change the discretization of the sigmoid to be expectation preserving.
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2022-10-23 17:11:35 +08:00 |
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Daniel Povey
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09cbc9fdab
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Save some memory in the autograd of DoubleSwish.
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2022-10-23 16:59:43 +08:00 |
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Daniel Povey
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40588d3d8a
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Revert 179->180 change, i.e. change max_abs for deriv_balancer2 back from 50.0 20.0
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2022-10-23 16:18:58 +08:00 |
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Daniel Povey
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5b9d166cb9
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--base-lr0.075->0.5; --lr-epochs 3->3.5
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2022-10-23 13:56:25 +08:00 |
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Daniel Povey
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0406d0b059
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Increase max_abs in ActivationBalancer of conv module from 20 to 50
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2022-10-23 13:51:51 +08:00 |
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Daniel Povey
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9e86d1f44f
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reduce initial scale in GradScaler
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2022-10-23 00:14:38 +08:00 |
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Daniel Povey
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b7083e7aff
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Increase default max_factor for ActivationBalancer from 0.02 to 0.04; decrease max_abs in ConvolutionModule.deriv_balancer2 from 100.0 to 20.0
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2022-10-23 00:09:21 +08:00 |
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Daniel Povey
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ad2d3c2b36
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Dont print out full non-finite tensor
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2022-10-22 23:03:19 +08:00 |
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Daniel Povey
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e0c1dc66da
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Increase probs of activation balancer and make it decay slower.
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2022-10-22 22:18:38 +08:00 |
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Daniel Povey
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2964628ae1
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don't do penalize_values_gt on simple_lm_proj and simple_am_proj; reduce --base-lr from 0.1 to 0.075
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2022-10-22 21:12:58 +08:00 |
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Daniel Povey
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269b70122e
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Add hooks.py, had negleted to git add it.
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2022-10-22 20:58:52 +08:00 |
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Daniel Povey
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13ffd8e823
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Trying to reduce grad_scale of Whiten() from 0.02 to 0.01.
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2022-10-22 20:30:05 +08:00 |
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Daniel Povey
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466176eeff
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Use penalize_abs_values_gt, not ActivationBalancer.
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2022-10-22 20:18:15 +08:00 |
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Daniel Povey
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7a55cac346
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Increase max_factor in final lm_balancer and am_balancer
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2022-10-22 20:02:54 +08:00 |
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Daniel Povey
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8b3bba9b54
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Reduce max_abs on am_balancer
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2022-10-22 19:52:11 +08:00 |
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Daniel Povey
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1908123af9
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Adding activation balancers after simple_am_prob and simple_lm_prob
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2022-10-22 19:37:35 +08:00 |
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Daniel Povey
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11886dc4f6
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Change base lr to 0.1, also rename from initial lr in train.py
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2022-10-22 18:22:26 +08:00 |
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Daniel Povey
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146626bb85
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Renaming in optim.py; remove step() from scan_pessimistic_batches_for_oom in train.py
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2022-10-22 17:44:21 +08:00 |
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Daniel Povey
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525e87a82d
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Add inf check hooks
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2022-10-22 17:16:29 +08:00 |
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Daniel Povey
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e8066b5825
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Merge branch 'scaled_adam_exp172' into scaled_adam_exp174
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2022-10-22 15:44:04 +08:00 |
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Daniel Povey
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9919fb3e1b
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Increase grad_scale to Whiten module
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2022-10-22 15:32:50 +08:00 |
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Daniel Povey
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af0fc31c78
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Introduce warmup schedule in optimizer
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2022-10-22 15:15:43 +08:00 |
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Daniel Povey
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069125686e
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Fixes to logging statements.
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2022-10-22 15:08:07 +08:00 |
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Daniel Povey
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1d4382555c
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Increase initial-lr from 0.06 to 0.075 and decrease lr-epochs from 3.5 to 3.
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2022-10-22 15:04:08 +08:00 |
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Daniel Povey
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74d775014d
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Increase initial-lr from 0.05 to 0.06.
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2022-10-22 15:02:07 +08:00 |
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Daniel Povey
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aa5f34af64
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Cosmetic change
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2022-10-22 15:00:15 +08:00 |
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Daniel Povey
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1ec9fe5c98
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Make warmup period decrease scale on simple loss, leaving pruned loss scale constant.
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2022-10-22 14:48:53 +08:00 |
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Daniel Povey
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efde3757c7
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Reset optimizer state when we change loss function definition.
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2022-10-22 14:30:18 +08:00 |
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Daniel Povey
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84580ec022
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Configuration changes: scores limit 5->10, min_prob 0.05->0.1, cur_grad_scale more aggressive increase
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2022-10-22 14:09:53 +08:00 |
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Daniel Povey
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9672dffac2
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Merge branch 'scaled_adam_exp168' into scaled_adam_exp169
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2022-10-22 14:05:07 +08:00 |
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Daniel Povey
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8d1021d131
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Remove comparison diagnostics, which were not that useful.
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2022-10-22 13:57:00 +08:00 |
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Daniel Povey
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2e93e5d3b7
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Add logging
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2022-10-22 13:52:51 +08:00 |
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Daniel Povey
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fd3f21f84d
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Changes to grad scale logging; increase grad scale more frequently if less than one.
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2022-10-22 13:36:26 +08:00 |
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Fangjun Kuang
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348494888d
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Add kaldifst to requirements.txt (#631)
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2022-10-22 13:14:44 +08:00 |
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Daniel Povey
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1d2fe8e3c2
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Add more diagnostics to debug gradient scale problems
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2022-10-22 12:49:29 +08:00 |
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Daniel Povey
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3298e18732
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Increase limit on logit for SimpleCombiner to 25.0
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2022-10-21 22:06:35 +08:00 |
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Daniel Povey
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e5fe3de17e
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Also apply limit on logit in SimpleCombiner
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2022-10-21 21:43:45 +08:00 |
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