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First install the latest version of kapre by running (in your conda environment) pip install --upgrade kapre.
kapre
pip install --upgrade kapre
For all jobs, use jobs/l3embedding-train-melspec2-03202018.sbatch as a template, modifying it in the specified ways.
#SBATCH --job-name=l3embedding-train-mus-linear
#SBATCH --mail-user=<your email>
#SBATCH --output="l3embedding-train-mus-linear-%j.out"
#SBATCH --err="l3embedding-train-mus-linear-%j.err"
source activate l3embedding
TRAIN_DATA_DIR=/beegfs/work/AudioSetSamples/music_train
VAL_DATA_DIR=/beegfs/work/AudioSetSamples/music_valid
GSHEET_ID
OUTPUT_DIR=/scratch/<username>/l3_output
--model-type
--model-type cnn_L3_kapredbinputbn
#SBATCH --job-name=l3embedding-train-mus-melspec1
#SBATCH --output="l3embedding-train-mus-melspec1-%j.out"
#SBATCH --err="l3embedding-train-mus-melspec1-%j.err"
--model-type cnn_L3_melspec1
#SBATCH --job-name=l3embedding-train-mus-melspec2
#SBATCH --output="l3embedding-train-mus-melspec2-%j.out"
#SBATCH --err="l3embedding-train-mus-melspec2-%j.err"
--model-type cnn_L3_melspec2
#SBATCH --job-name=l3embedding-train-env-linear
#SBATCH --output="l3embedding-train-env-linear-%j.out"
#SBATCH --err="l3embedding-train-env-linear-%j.err"
TRAIN_DATA_DIR=/beegfs/work/AudioSetSamples_environmental/environmental_train
VAL_DATA_DIR=/beegfs/work/AudioSetSamples_environmental/environmental_valid
#SBATCH --job-name=l3embedding-train-env-melspec1
#SBATCH --output="l3embedding-train-env-melspec1-%j.out"
#SBATCH --err="l3embedding-train-env-melspec1-%j.err"
#SBATCH --job-name=l3embedding-train-env-melspec2
#SBATCH --output="l3embedding-train-env-melspec2-%j.out"
#SBATCH --err="l3embedding-train-env-melspec2-%j.err"
Run sbatch l3embedding-train.sbatch.
sbatch l3embedding-train.sbatch
The text was updated successfully, but these errors were encountered:
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First install the latest version of
kapre
by running (in your conda environment)pip install --upgrade kapre
.For all jobs, use jobs/l3embedding-train-melspec2-03202018.sbatch as a template, modifying it in the specified ways.
MusAudioSet
#SBATCH --job-name=l3embedding-train-mus-linear
#SBATCH --mail-user=<your email>
#SBATCH --output="l3embedding-train-mus-linear-%j.out"
#SBATCH --err="l3embedding-train-mus-linear-%j.err"
source activate l3embedding
to your conda environmentTRAIN_DATA_DIR=/beegfs/work/AudioSetSamples/music_train
VAL_DATA_DIR=/beegfs/work/AudioSetSamples/music_valid
GSHEET_ID
to the appropriate stringOUTPUT_DIR=/scratch/<username>/l3_output
--model-type
to--model-type cnn_L3_kapredbinputbn
#SBATCH --job-name=l3embedding-train-mus-melspec1
#SBATCH --mail-user=<your email>
#SBATCH --output="l3embedding-train-mus-melspec1-%j.out"
#SBATCH --err="l3embedding-train-mus-melspec1-%j.err"
source activate l3embedding
to your conda environmentTRAIN_DATA_DIR=/beegfs/work/AudioSetSamples/music_train
VAL_DATA_DIR=/beegfs/work/AudioSetSamples/music_valid
GSHEET_ID
to the appropriate stringOUTPUT_DIR=/scratch/<username>/l3_output
--model-type
to--model-type cnn_L3_melspec1
#SBATCH --job-name=l3embedding-train-mus-melspec2
#SBATCH --mail-user=<your email>
#SBATCH --output="l3embedding-train-mus-melspec2-%j.out"
#SBATCH --err="l3embedding-train-mus-melspec2-%j.err"
source activate l3embedding
to your conda environmentTRAIN_DATA_DIR=/beegfs/work/AudioSetSamples/music_train
VAL_DATA_DIR=/beegfs/work/AudioSetSamples/music_valid
GSHEET_ID
to the appropriate stringOUTPUT_DIR=/scratch/<username>/l3_output
--model-type
to--model-type cnn_L3_melspec2
EnvAudioSet
#SBATCH --job-name=l3embedding-train-env-linear
#SBATCH --mail-user=<your email>
#SBATCH --output="l3embedding-train-env-linear-%j.out"
#SBATCH --err="l3embedding-train-env-linear-%j.err"
source activate l3embedding
to your conda environmentTRAIN_DATA_DIR=/beegfs/work/AudioSetSamples_environmental/environmental_train
VAL_DATA_DIR=/beegfs/work/AudioSetSamples_environmental/environmental_valid
GSHEET_ID
to the appropriate stringOUTPUT_DIR=/scratch/<username>/l3_output
--model-type
to--model-type cnn_L3_kapredbinputbn
#SBATCH --job-name=l3embedding-train-env-melspec1
#SBATCH --mail-user=<your email>
#SBATCH --output="l3embedding-train-env-melspec1-%j.out"
#SBATCH --err="l3embedding-train-env-melspec1-%j.err"
source activate l3embedding
to your conda environmentTRAIN_DATA_DIR=/beegfs/work/AudioSetSamples_environmental/environmental_train
VAL_DATA_DIR=/beegfs/work/AudioSetSamples_environmental/environmental_valid
GSHEET_ID
to the appropriate stringOUTPUT_DIR=/scratch/<username>/l3_output
--model-type
to--model-type cnn_L3_melspec1
#SBATCH --job-name=l3embedding-train-env-melspec2
#SBATCH --mail-user=<your email>
#SBATCH --output="l3embedding-train-env-melspec2-%j.out"
#SBATCH --err="l3embedding-train-env-melspec2-%j.err"
source activate l3embedding
to your conda environmentTRAIN_DATA_DIR=/beegfs/work/AudioSetSamples_environmental/environmental_train
VAL_DATA_DIR=/beegfs/work/AudioSetSamples_environmental/environmental_valid
GSHEET_ID
to the appropriate stringOUTPUT_DIR=/scratch/<username>/l3_output
--model-type
to--model-type cnn_L3_melspec2
Run
sbatch l3embedding-train.sbatch
.The text was updated successfully, but these errors were encountered: