Spaces:
Running
Running
File size: 4,670 Bytes
5f923cd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 | // Copyright 2025 The ODML Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#ifndef THIRD_PARTY_ODML_LITERT_LM_RUNTIME_COMPONENTS_EMBEDDING_LOOKUP_EMBEDDING_LOOKUP_MULTI_MODAL_H_
#define THIRD_PARTY_ODML_LITERT_LM_RUNTIME_COMPONENTS_EMBEDDING_LOOKUP_EMBEDDING_LOOKUP_MULTI_MODAL_H_
#include <sys/types.h>
#include <cstddef>
#include <memory>
#include <vector>
#include "absl/status/status.h" // from @com_google_absl
#include "absl/types/span.h" // from @com_google_absl
#include "litert/cc/litert_tensor_buffer.h" // from @litert
#include "runtime/components/embedding_lookup/embedding_lookup.h"
namespace litert::lm {
class EmbeddingLookupMultiModal : public EmbeddingLookup {
public:
~EmbeddingLookupMultiModal() override = default;
// Creates a EmbeddingLookupMultiModal instance.
//
// The embedding buffer will be used whenever the special token is present in
// the input tokens to the Lookup functions. Whenever the special token is
// present, a number of bytes will be read from the embedding
// buffer into the Lookup function's output tensor.
//
// The output tensor will have the shape [B=1, T=tokens.size(), ...] so the
// number of bytes that are read from this embedding_buffer per special token
// is equal to the product of all the output_tensor dimensions starting with
// the 2nd dimension (ie. if the shape of the output tensor is [1, 2, 4, 32],
// the number of bytes read from embedding_buffer per special_token is
// 4 * 32 = 128).
static absl::StatusOr<std::unique_ptr<EmbeddingLookupMultiModal>> Create(
const ::litert::TensorBuffer* embedding_buffer, int special_token);
// For a given token, looks up the embedding and stores it in the
// provided vector. The caller is responsible for ensuring that the vector is
// the correct size for the embedding.
absl::Status LookupDecode(int token,
std::vector<float>& output_vector) override;
// For a given token, looks up the embedding and stores it in the
// output tensor.
absl::Status LookupDecode(int token,
litert::TensorBuffer* output_tensor) override;
// For a given token, looks up the embedding and stores it in the
// provided vector. The caller is responsible for ensuring that the vector is
// the correct size for the embedding.
//
// If the token is not the special token, then this function will return
// without copying any data.
//
// This is used for the case where the llm_litert_executor needs to look up
// embeddings for the current step and then use the result for the next step.
// At that point, it does not have a TensorBuffer to store the result in.
absl::Status LookupPrefill(int token,
std::vector<float>& output_vector) override;
// For a given list of tokens, looks up the embeddings, concatenates them and
// returns the result through the output tensor.
//
// This function supports the case where the output tensor's 0th dimension is
// of size 1, its 1st dimension is greater than or equal to tokens.size(), and
// its subsequent dimensions match the dimensions of the embedding output. In
// other words, if the embedding output is [B=1, T=1, ...], then the output
// tensor must be [1, >=tokens.size(), ...].
//
// bytes_offset is used to indicate what byte to start writing to in the
// output_tensor. This is used in cases where the output_tensor has already
// had some embeddings written to it.
absl::Status LookupPrefill(absl::Span<const int> tokens,
litert::TensorBuffer* output_tensor,
size_t byte_offset) override;
// Returns true if there are any embeddings left to be read.
bool HasRemainingEmbeddings() const { return embedding_.size() > 0; }
protected:
absl::Status Initialize(const ::litert::TensorBuffer* embedding_buffer,
int special_token);
absl::Span<float> embedding_;
int special_token_;
};
} // namespace litert::lm
#endif // THIRD_PARTY_ODML_LITERT_LM_RUNTIME_COMPONENTS_EMBEDDING_LOOKUP_EMBEDDING_LOOKUP_MULTI_MODAL_H_
|