aditya/llama.cpp
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ggml : change params pointer (style change) (#2539)

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ggml-ci
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Georgi Gerganov 2023-08-07 13:55:18 +03:00 committed by GitHub
parent 99d29c0094
commit 9082b5dfbf
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1 changed files with 16 additions and 15 deletions
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31
ggml.c
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@ -4602,7 +4602,7 @@ static struct ggml_tensor * ggml_new_tensor_impl(
/*.ne =*/ { 1, 1, 1, 1 },
/*.nb =*/ { 0, 0, 0, 0 },
/*.op =*/ GGML_OP_NONE,
/*.op_params =*/ {0},
/*.op_params =*/ { 0 },
/*.is_param =*/ false,
/*.grad =*/ NULL,
/*.src =*/ { NULL },
@ -4634,6 +4634,7 @@ static struct ggml_tensor * ggml_new_tensor_impl(
}
static void ggml_set_op_params(struct ggml_tensor * tensor, const void * params, size_t params_size) {
GGML_ASSERT(tensor != NULL); // silence -Warray-bounds warnings
assert(params_size <= GGML_MAX_OP_PARAMS);
memcpy(tensor->op_params, params, params_size);
}
@ -6439,7 +6440,7 @@ struct ggml_tensor * ggml_permute(
result->src[0] = a;
int32_t params[] = { axis0, axis1, axis2, axis3 };
ggml_set_op_params(result, &params, sizeof(params));
ggml_set_op_params(result, params, sizeof(params));
return result;
}
@ -6565,7 +6566,7 @@ static struct ggml_tensor * ggml_diag_mask_inf_impl(
struct ggml_tensor * result = inplace ? ggml_view_tensor(ctx, a) : ggml_dup_tensor(ctx, a);
int32_t params[] = { n_past, inplace ? 1 : 0 };
ggml_set_op_params(result, &params, sizeof(params));
ggml_set_op_params(result, params, sizeof(params));
result->op = GGML_OP_DIAG_MASK_INF;
result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;
@ -6605,7 +6606,7 @@ static struct ggml_tensor * ggml_diag_mask_zero_impl(
struct ggml_tensor * result = inplace ? ggml_view_tensor(ctx, a) : ggml_dup_tensor(ctx, a);
int32_t params[] = { n_past, inplace ? 1 : 0 };
ggml_set_op_params(result, &params, sizeof(params));
ggml_set_op_params(result, params, sizeof(params));
result->op = GGML_OP_DIAG_MASK_ZERO;
result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;
@ -6721,9 +6722,9 @@ static struct ggml_tensor * ggml_rope_impl(
struct ggml_tensor * result = inplace ? ggml_view_tensor(ctx, a) : ggml_dup_tensor(ctx, a);
int32_t params[6] = { n_past, n_dims, mode, n_ctx };
memcpy(params + 4, &freq_base, sizeof(float));
memcpy(params + 4, &freq_base, sizeof(float));
memcpy(params + 5, &freq_scale, sizeof(float));
ggml_set_op_params(result, &params, sizeof(params));
ggml_set_op_params(result, params, sizeof(params));
result->op = GGML_OP_ROPE;
result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;
@ -6797,7 +6798,7 @@ struct ggml_tensor * ggml_rope_back(
struct ggml_tensor * result = ggml_dup_tensor(ctx, a);
int32_t params[] = { n_past, n_dims, mode, n_ctx };
ggml_set_op_params(result, &params, sizeof(params));
ggml_set_op_params(result, params, sizeof(params));
result->op = GGML_OP_ROPE_BACK;
result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;
@ -6828,7 +6829,7 @@ struct ggml_tensor * ggml_alibi(
int32_t op_params[3] = { n_past, n_head };
memcpy(op_params + 2, &bias_max, sizeof(float));
ggml_set_op_params(result, &op_params, sizeof(op_params));
ggml_set_op_params(result, op_params, sizeof(op_params));
result->op = GGML_OP_ALIBI;
result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;
@ -6855,7 +6856,7 @@ struct ggml_tensor * ggml_clamp(
struct ggml_tensor * result = ggml_view_tensor(ctx, a);
float params[] = { min, max };
ggml_set_op_params(result, &params, sizeof(params));
ggml_set_op_params(result, params, sizeof(params));
result->op = GGML_OP_CLAMP;
result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;
@ -6893,7 +6894,7 @@ GGML_API struct ggml_tensor * ggml_conv_1d(
struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, 2, ne);
int32_t params[] = { s0, p0, d0 };
ggml_set_op_params(result, &params, sizeof(params));
ggml_set_op_params(result, params, sizeof(params));
result->op = GGML_OP_CONV_1D;
result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;
@ -6932,7 +6933,7 @@ struct ggml_tensor * ggml_conv_2d(
struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, 4, ne);
int32_t params[] = { s0, s1, p0, p1, d0, d1 };
ggml_set_op_params(result, &params, sizeof(params));
ggml_set_op_params(result, params, sizeof(params));
result->op = GGML_OP_CONV_2D;
result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;
@ -6985,7 +6986,7 @@ struct ggml_tensor * ggml_pool_1d(
struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, 2, ne);
int32_t params[] = { op, k0, s0, p0 };
ggml_set_op_params(result, &params, sizeof(params));
ggml_set_op_params(result, params, sizeof(params));
result->op = GGML_OP_POOL_1D;
result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;
@ -7022,7 +7023,7 @@ struct ggml_tensor * ggml_pool_2d(
struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, 3, ne);
int32_t params[] = { op, k0, k1, s0, s1, p0, p1 };
ggml_set_op_params(result, &params, sizeof(params));
ggml_set_op_params(result, params, sizeof(params));
result->op = GGML_OP_POOL_2D;
result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;
@ -7190,7 +7191,7 @@ struct ggml_tensor * ggml_win_part(
struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, 4, ne);
int32_t params[] = { npx, npy, w };
ggml_set_op_params(result, &params, sizeof(params));
ggml_set_op_params(result, params, sizeof(params));
result->op = GGML_OP_WIN_PART;
result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;
@ -7220,7 +7221,7 @@ struct ggml_tensor * ggml_win_unpart(
struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, 3, ne);
int32_t params[] = { w };
ggml_set_op_params(result, &params, sizeof(params));
ggml_set_op_params(result, params, sizeof(params));
result->op = GGML_OP_WIN_UNPART;
result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;