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train-text-from-scratch : fix assert failure in ggml-alloc (#3618)
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@ -253,13 +253,14 @@ static void init_model(struct my_llama_model * model) {
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set_param_model(model);
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// measure data size
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struct ggml_allocr * alloc = NULL;
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alloc = ggml_allocr_new_measure(tensor_alignment);
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alloc_model(alloc, model);
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size_t size = 0;
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for (struct ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) {
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size += GGML_PAD(ggml_nbytes(t), tensor_alignment);
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}
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// allocate data
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model->data.resize(ggml_allocr_max_size(alloc) + tensor_alignment);
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ggml_allocr_free(alloc);
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struct ggml_allocr * alloc = NULL;
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model->data.resize(size + tensor_alignment);
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alloc = ggml_allocr_new(model->data.data(), model->data.size(), tensor_alignment);
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alloc_model(alloc, model);
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ggml_allocr_free(alloc);
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@ -1094,11 +1095,9 @@ int main(int argc, char ** argv) {
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struct ggml_tensor * target_probs = ggml_new_tensor_3d(ctx_input, GGML_TYPE_F32, n_vocab, n_tokens, n_batch);
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// measure required memory for input tensors
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alloc = ggml_allocr_new_measure(tensor_alignment);
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ggml_allocr_alloc(alloc, tokens_input);
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ggml_allocr_alloc(alloc, target_probs);
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size_t max_input_size = ggml_allocr_max_size(alloc) + tensor_alignment;
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ggml_allocr_free(alloc);
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size_t max_input_size = GGML_PAD(ggml_nbytes(tokens_input), tensor_alignment) +
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GGML_PAD(ggml_nbytes(target_probs), tensor_alignment) +
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tensor_alignment;
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printf("%s: input_size = %zu bytes (%.1f MB)\n", __func__, max_input_size, (float) max_input_size / (1024.0f*1024.0f));
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// allocate input tensors
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