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41 lines
1.9 KiB
Bash
41 lines
1.9 KiB
Bash
# Copyright (c) 2020-2025, NVIDIA CORPORATION.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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set -x
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# scripts/speechlm2/estimate_token_bins.py expects a YAML input_cfg file rather than a
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# raw NeMo manifest, so write a minimal one that wraps the existing an4 test manifest.
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INPUT_CFG=$(mktemp --suffix=.yaml)
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trap 'rm -f "$INPUT_CFG"' EXIT
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cat > "$INPUT_CFG" <<EOF
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- type: lhotse_as_conversation
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manifest_filepath: /home/TestData/an4_dataset/an4_train_lang.json
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EOF
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# Conversation-style inputs require a prompt formatter to populate input_ids/answer_ids
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# (NeMoMultimodalConversation has no plain ``tokenize()`` path) and an audio-locator-tag
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# so AudioTurns get a non-null message slot.
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# 1D buckets [SALM multimodal sampling]
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coverage run -a --data-file=/workspace/.coverage --source=/workspace/nemo scripts/speechlm2/estimate_token_bins.py \
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"$INPUT_CFG" \
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--tokenizer /home/TestData/asr_tokenizers/canary/en/tokenizer_spe_bpe_v1024_max_4/tokenizer.model \
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--prompt-format plain \
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--audio-locator-tag '<|audioplaceholder|>' \
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--buckets 5
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# 2D buckets [SALM multimodal sampling, input_tokens x output_tokens]
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coverage run -a --data-file=/workspace/.coverage --source=/workspace/nemo scripts/speechlm2/estimate_token_bins.py \
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"$INPUT_CFG" \
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--tokenizer /home/TestData/asr_tokenizers/canary/en/tokenizer_spe_bpe_v1024_max_4/tokenizer.model \
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--prompt-format plain \
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--audio-locator-tag '<|audioplaceholder|>' \
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--buckets 5 \
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--sub-buckets 2
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