Extend LayersOutputFunc to take query index and auxillary int

PiperOrigin-RevId: 657574814
This commit is contained in:
Paul Chang 2024-07-30 06:53:14 -07:00 committed by Copybara-Service
parent 8b4915f321
commit d37c088e44
3 changed files with 21 additions and 12 deletions

View File

@ -59,10 +59,13 @@ int Run(int argc, char** argv) {
env.MutableConfig().layers_output =
prompt_args.layers_output.Empty()
? LayersOutputFunc()
: [&json_output](int pos, const std::string& key, const float* values,
size_t values_len) {
std::vector<float> v{values, values + values_len};
json_output[std::to_string(pos)][key] = v;
: [&json_output](size_t query_idx, size_t pos, const std::string& key,
int layer, const float* values, size_t values_len) {
const std::string& debug_key =
layer < 0 ? key : (key + "." + std::to_string(layer));
const std::vector<float> v{values, values + values_len};
json& json_base = json_output[std::to_string(query_idx)];
json_base[std::to_string(pos)][debug_key] = v;
};
const auto [answer, token_count] = env.QueryModel(prompt_args.prompt);

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@ -805,8 +805,10 @@ HWY_NOINLINE void Transformer(const int* tokens, size_t num_tokens,
const size_t num_interleaved = num_tokens * num_queries;
if (layers_output) {
for (size_t token_idx = 0; token_idx < num_interleaved; ++token_idx) {
float token_f = tokens[token_idx];
layers_output(pos + token_idx, "Tokens", &token_f, 1);
const size_t query_idx = token_idx % num_queries;
const size_t logical_pos = (pos + token_idx) / num_queries;
const float token_f = tokens[token_idx];
layers_output(query_idx, logical_pos, "tokens", -1, &token_f, 1);
}
}
constexpr size_t kModelDim = TConfig::kModelDim;
@ -821,9 +823,9 @@ HWY_NOINLINE void Transformer(const int* tokens, size_t num_tokens,
layer_weights, activations, kv_caches, pool);
if (layers_output) {
const std::string block_name = "blocks." + std::to_string(layer);
for (size_t token_idx = 0; token_idx < num_interleaved; ++token_idx) {
layers_output(pos + token_idx, block_name,
const size_t logical_pos = (pos + token_idx) / num_queries;
layers_output(token_idx % num_queries, logical_pos, "blocks", layer,
activations.x.Batch(token_idx), kModelDim);
}
}
@ -833,7 +835,9 @@ HWY_NOINLINE void Transformer(const int* tokens, size_t num_tokens,
activations.x.All(), kModelDim);
if (layers_output) {
for (size_t token_idx = 0; token_idx < num_interleaved; ++token_idx) {
layers_output(pos + token_idx, "final_norm",
const size_t query_idx = token_idx % num_queries;
const size_t logical_pos = (pos + token_idx) / num_queries;
layers_output(query_idx, logical_pos, "final_norm", -1,
activations.x.Batch(token_idx), kModelDim);
}
}

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@ -49,13 +49,15 @@ using AcceptFunc = std::function<bool(int, float)>;
// If not empty, SampleFunc is called with the probability distribution for the
// next token, and its return value is used as the next generated token.
using SampleFunc = std::function<int(const float*, size_t)>;
// Will be called for layers output with:
// If not empty, LayersOutputFunc is called for layer outputs, specified with:
// - index of query within containing batch (if any); zero otherwise.
// - position in the tokens sequence
// - name of the data, p.ex. "tokens", "block.1", "final_norm"
// - name of the data, e.g. "tokens", "blocks", "final_norm"
// - layer index (or -1 for global outputs), e.g. "blocks" exposes x per-layer
// - pointer to the data array
// - size of the data array
using LayersOutputFunc =
std::function<void(int, const std::string&, const float*, size_t)>;
std::function<void(size_t, size_t, const std::string&, int, const float*, size_t)>;
struct RuntimeConfig {
bool StreamToken(size_t query_idx, size_t pos, int token, float prob) const {