gpt j use scratch buffers
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1 changed files with 22 additions and 6 deletions
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@ -367,8 +367,16 @@ bool gptj_eval(
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static size_t buf_size = 256u*1024*1024;
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static void * buf = malloc(buf_size);
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if (mem_per_token > 0 && (mem_per_token*N*2 + 64u*1024*1024) > buf_size) {
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const size_t buf_size_new = 320u*1024*1024 + 1.6*(mem_per_token*N); // add 10% to account for ggml object overhead
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// use 2 scratch buffers
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// TODO: very hacky solution - reimplement in a more elegant way
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static size_t scr0_size = (n_ctx>1024?512u:256u)*1024*1024;
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static void * scr0 = malloc(scr0_size);
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static size_t scr1_size = (n_ctx>1024?512u:256u)*1024*1024;
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static void * scr1 = malloc(scr1_size);
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if (mem_per_token > 0 && mem_per_token*N*1.05 > buf_size) {
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const size_t buf_size_new = 64u*1024*1024 + 1.15*(mem_per_token*N); // add 10% to account for ggml object overhead
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//printf("\n%s: reallocating buffer from %zu to %zu bytes\n", __func__, buf_size, buf_size_new);
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// reallocate
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@ -403,6 +411,8 @@ bool gptj_eval(
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for (int il = 0; il < n_layer; ++il) {
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struct ggml_tensor * cur;
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ggml_set_scratch(ctx0, { 0, scr0_size, scr0, });
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// norm
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{
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cur = ggml_norm(ctx0, inpL);
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@ -490,6 +500,8 @@ bool gptj_eval(
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cur);
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}
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ggml_set_scratch(ctx0, { 0, scr1_size, scr1, });
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struct ggml_tensor * inpFF = cur;
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// feed-forward network
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@ -525,6 +537,8 @@ bool gptj_eval(
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inpL = ggml_add(ctx0, cur, inpL);
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}
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ggml_set_scratch(ctx0, { 0, scr0_size, scr0, });
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// norm
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{
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inpL = ggml_norm(ctx0, inpL);
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@ -537,6 +551,8 @@ bool gptj_eval(
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ggml_repeat(ctx0, model.ln_f_b, inpL));
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}
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ggml_set_scratch(ctx0, { 0, 0, nullptr, });
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// lm_head
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{
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inpL = ggml_mul_mat(ctx0, model.lmh_g, inpL);
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