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ggml : implementation of xPos RoPE (#441); also extends ggml_rope_bac…
…k with additional parameters (breaking API change); does not include CUDA version (#442)
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Original file line number | Diff line number | Diff line change |
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#include "ggml/ggml.h" | ||
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#include <math.h> | ||
#include <stdio.h> | ||
#include <stdlib.h> | ||
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bool is_close(float a, float b, float epsilon) { | ||
return fabs(a - b) < epsilon; | ||
} | ||
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int main(int argc, char ** argv) { | ||
const int n_threads = 1; | ||
const int n_embd_head = 4; // aka head_dim | ||
const int n_head = 1; | ||
const int N = 8; | ||
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struct ggml_init_params params = { | ||
.mem_size = 16*1024*1024, | ||
.mem_buffer = NULL, | ||
}; | ||
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// memory allocation happens here | ||
struct ggml_context * ctx = ggml_init(params); | ||
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struct ggml_tensor * Q = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, n_embd_head, n_head, N); | ||
struct ggml_tensor * K = ggml_new_tensor_3d(ctx, GGML_TYPE_F32, n_embd_head, n_head, N); | ||
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for (int i = 0; i < ggml_nelements(Q); i++) { | ||
((float*) Q->data)[i] = 2.0f; | ||
((float*) K->data)[i] = 2.0f; | ||
} | ||
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struct ggml_tensor * Qx = ggml_rope_xpos_inplace(ctx, Q, 1, n_embd_head, 512.0f, false); | ||
struct ggml_tensor * Kx = ggml_rope_xpos_inplace(ctx, K, 1, n_embd_head, 512.0f, true); | ||
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struct ggml_cgraph gf = ggml_build_forward(Qx); | ||
ggml_build_forward_expand(&gf, Kx); | ||
ggml_graph_compute_with_ctx(ctx, &gf, n_threads); | ||
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// expected output for Qx: | ||
// -0.6009 2.7568 1.9782 2.0182 | ||
// -2.6379 0.9815 1.9562 2.0361 | ||
// -2.2457 -1.6853 1.9341 2.0538 | ||
// 0.2043 -2.7934 1.9118 2.0712 | ||
// 2.4550 -1.3341 1.8894 2.0884 | ||
// 2.4430 1.3417 1.8668 2.1054 | ||
// 0.1905 2.7739 1.8440 2.1221 | ||
// -2.2257 1.6550 1.8212 2.1386 | ||
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for (int i = 0; i < ggml_nelements(Q); i++) { | ||
if (((float*) Qx->data)[i] > 0) printf(" "); | ||
printf("%.4f ", ((float*) Qx->data)[i]); | ||
if ((i+1) % n_embd_head == 0) printf("\n"); | ||
} | ||
printf("\n"); | ||
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GGML_ASSERT(is_close(((float*) Qx->data)[7 * n_embd_head + 0], -2.2257f, 0.0001f)); | ||
GGML_ASSERT(is_close(((float*) Qx->data)[7 * n_embd_head + 1], 1.6550f, 0.0001f)); | ||
GGML_ASSERT(is_close(((float*) Qx->data)[7 * n_embd_head + 2], 1.8212f, 0.0001f)); | ||
GGML_ASSERT(is_close(((float*) Qx->data)[7 * n_embd_head + 3], 2.1386f, 0.0001f)); | ||
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// expected output for Kx: | ||
// -0.6038 2.7703 1.9816 2.0216 | ||
// -2.6639 0.9911 1.9630 2.0431 | ||
// -2.2789 -1.7103 1.9441 2.0644 | ||
// 0.2083 -2.8486 1.9251 2.0856 | ||
// 2.5158 -1.3671 1.9057 2.1065 | ||
// 2.5158 1.3816 1.8862 2.1273 | ||
// 0.1972 2.8705 1.8665 2.1479 | ||
// -2.3146 1.7211 1.8465 2.1684 | ||
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for (int i = 0; i < ggml_nelements(K); i++) { | ||
if (((float*) Kx->data)[i] > 0) printf(" "); | ||
printf("%.4f ", ((float*) Kx->data)[i]); | ||
if ((i+1) % n_embd_head == 0) printf("\n"); | ||
} | ||
printf("\n"); | ||
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GGML_ASSERT(is_close(((float*) Kx->data)[7 * n_embd_head + 0], -2.3146f, 0.0001f)); | ||
GGML_ASSERT(is_close(((float*) Kx->data)[7 * n_embd_head + 1], 1.7211f, 0.0001f)); | ||
GGML_ASSERT(is_close(((float*) Kx->data)[7 * n_embd_head + 2], 1.8465f, 0.0001f)); | ||
GGML_ASSERT(is_close(((float*) Kx->data)[7 * n_embd_head + 3], 2.1684f, 0.0001f)); | ||
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ggml_free(ctx); | ||
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return 0; | ||
} |