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9bd15f1937
* TensorRT-LLM Release 0.10.0 --------- Co-authored-by: Loki <lokravi@amazon.com> Co-authored-by: meghagarwal <16129366+megha95@users.noreply.github.com>
76 lines
2.6 KiB
C++
76 lines
2.6 KiB
C++
/*
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* Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved.
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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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*/
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#pragma once
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#include "tensorrt_llm/layers/decodingParams.h"
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#include <tensorrt_llm/common/tensor.h>
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#include <tensorrt_llm/runtime/common.h>
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#include <optional>
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#include <vector>
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namespace tc = tensorrt_llm::common;
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namespace tensorrt_llm::layers
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{
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class SamplingSetupParams : public BaseSetupParams
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{
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public:
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std::optional<std::vector<runtime::SizeType32>> runtime_top_k; // [1] or [batchSize] on cpu
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std::optional<std::vector<float>> runtime_top_p; // [1] or [batchSize] on cpu
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std::optional<std::vector<uint64_t>> randomSeed; // [1] or [batchSize] on cpu
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std::optional<std::vector<float>> top_p_decay; // [batchSize], must between [0, 1]
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std::optional<std::vector<float>> top_p_min; // [batchSize], must between [0, 1]
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std::optional<std::vector<runtime::TokenIdType>> top_p_reset_ids; // [batchSize]
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std::optional<bool> normalize_log_probs;
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};
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class SamplingInputParams : public BaseInputParams
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{
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public:
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explicit SamplingInputParams(runtime::SizeType32 step, runtime::SizeType32 ite, tc::Tensor logits,
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tc::Tensor end_ids, runtime::SizeType32 max_seq_len)
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: BaseInputParams{step, ite, std::move(end_ids)}
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, logits{std::move(logits)}
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, max_seq_len{max_seq_len}
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{
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}
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// mandatory parameters
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tc::Tensor logits; // [local_batch_size, beam_width, vocab_size_padded]
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runtime::SizeType32 max_seq_len;
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// optional parameters
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std::optional<tc::Tensor> input_lengths; // [localBatchSize]
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curandState_t* curand_states; // [localBatchSize]
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// Pointer to the workspace for sampling computation
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void* sampling_workspace;
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// Flag to mark that logits tensor contains probabilities
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bool probs_computed;
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};
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class SamplingOutputParams : public BaseOutputParams
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{
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public:
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explicit SamplingOutputParams(tc::Tensor outputIds)
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: BaseOutputParams{std::move(outputIds)}
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{
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}
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};
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} // namespace tensorrt_llm::layers
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