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Add freq factors (#7495)
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@ -8830,12 +8830,11 @@ static void rope(
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dst[i + 1] = x0*sin_theta + x1*cos_theta;
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}
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template<typename T, bool has_pos>
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template<typename T, bool has_pos, bool has_freq_facs>
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static void rope_neox(
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const T * x, T * dst, int ncols, int n_dims, const int32_t * pos, float freq_scale, int p_delta_rows,
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float ext_factor, float attn_factor, rope_corr_dims corr_dims, float theta_scale, float inv_ndims
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,
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const sycl::nd_item<3> &item_ct1) {
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float ext_factor, float attn_factor, rope_corr_dims corr_dims, float theta_scale, float inv_ndims,
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const float * freq_factors, const sycl::nd_item<3> &item_ct1) {
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const int col = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) +
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item_ct1.get_local_id(1));
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@ -8863,8 +8862,10 @@ static void rope_neox(
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float cur_rot = inv_ndims * ic - ib;
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const int p = has_pos ? pos[i2] : 0;
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const float freq_factor = has_freq_facs ? freq_factors[ic/2] : 1.0f;
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const float theta_base =
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p * freq_scale * dpct::pow(theta_scale, col / 2.0f);
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p * freq_scale * dpct::pow(theta_scale, col / 2.0f)/freq_factor;
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float cos_theta, sin_theta;
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rope_yarn(theta_base, freq_scale, corr_dims, cur_rot, ext_factor, attn_factor, &cos_theta, &sin_theta);
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@ -12413,7 +12414,7 @@ static void rope_neox_sycl(const T *x, T *dst, int ncols, int n_dims, int nrows,
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const int32_t *pos, float freq_scale,
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int p_delta_rows, float freq_base, float ext_factor,
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float attn_factor, rope_corr_dims corr_dims,
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dpct::queue_ptr stream) {
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const float * freq_factors, dpct::queue_ptr stream) {
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GGML_ASSERT(ncols % 2 == 0);
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const sycl::range<3> block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1);
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const int num_blocks_x = (ncols + 2*SYCL_ROPE_BLOCK_SIZE - 1) / (2*SYCL_ROPE_BLOCK_SIZE);
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@ -12423,39 +12424,49 @@ static void rope_neox_sycl(const T *x, T *dst, int ncols, int n_dims, int nrows,
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const float inv_ndims = -1.0f / n_dims;
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if (pos == nullptr) {
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/*
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DPCT1049:42: The work-group size passed to the SYCL kernel may exceed
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the limit. To get the device limit, query
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info::device::max_work_group_size. Adjust the work-group size if needed.
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*/
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dpct::has_capability_or_fail(stream->get_device(),
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{sycl::aspect::fp16});
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if (freq_factors == nullptr) {
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stream->parallel_for(
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sycl::nd_range<3>(block_nums * block_dims, block_dims),
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[=](sycl::nd_item<3> item_ct1) {
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rope_neox<T, false>(x, dst, ncols, n_dims, pos, freq_scale,
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rope_neox<T, false, false>(x, dst, ncols, n_dims, pos, freq_scale,
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p_delta_rows, ext_factor, attn_factor,
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corr_dims, theta_scale, inv_ndims,
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corr_dims, theta_scale, inv_ndims, freq_factors,
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item_ct1);
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});
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} else {
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/*
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DPCT1049:43: The work-group size passed to the SYCL kernel may exceed
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the limit. To get the device limit, query
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info::device::max_work_group_size. Adjust the work-group size if needed.
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*/
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dpct::has_capability_or_fail(stream->get_device(),
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{sycl::aspect::fp16});
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stream->parallel_for(
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sycl::nd_range<3>(block_nums * block_dims, block_dims),
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[=](sycl::nd_item<3> item_ct1) {
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rope_neox<T, true>(x, dst, ncols, n_dims, pos, freq_scale,
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rope_neox<T, false, true>(x, dst, ncols, n_dims, pos, freq_scale,
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p_delta_rows, ext_factor, attn_factor,
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corr_dims, theta_scale, inv_ndims, item_ct1);
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corr_dims, theta_scale, inv_ndims, freq_factors,
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item_ct1);
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});
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}
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} else {
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dpct::has_capability_or_fail(stream->get_device(),
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{sycl::aspect::fp16});
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if (freq_factors == nullptr) {
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stream->parallel_for(
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sycl::nd_range<3>(block_nums * block_dims, block_dims),
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[=](sycl::nd_item<3> item_ct1) {
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rope_neox<T, true, false>(x, dst, ncols, n_dims, pos, freq_scale,
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p_delta_rows, ext_factor, attn_factor,
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corr_dims, theta_scale, inv_ndims, freq_factors, item_ct1);
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});
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} else {
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stream->parallel_for(
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sycl::nd_range<3>(block_nums * block_dims, block_dims),
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[=](sycl::nd_item<3> item_ct1) {
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rope_neox<T, true, true>(x, dst, ncols, n_dims, pos, freq_scale,
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p_delta_rows, ext_factor, attn_factor,
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corr_dims, theta_scale, inv_ndims, freq_factors, item_ct1);
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});
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}
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}
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}
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static void rope_glm_f32_sycl(const float *x, float *dst, int ncols, int nrows,
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@ -13986,9 +13997,7 @@ inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1,
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ggml_tensor *dst, const float *src0_dd,
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const float *src1_dd, float *dst_dd,
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const dpct::queue_ptr &main_stream) {
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#pragma message("TODO: implement phi3 frequency factors support")
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#pragma message(" https://github.com/ggerganov/llama.cpp/pull/7225")
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GGML_ASSERT(dst->src[2] == nullptr && "phi3 frequency factors not implemented yet");
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const ggml_tensor * src2 = dst->src[2];
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GGML_ASSERT(src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16);
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GGML_ASSERT( dst->type == GGML_TYPE_F32 || dst->type == GGML_TYPE_F16);
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@ -14014,6 +14023,7 @@ inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1,
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memcpy(&beta_fast, (int32_t *) dst->op_params + 9, sizeof(float));
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memcpy(&beta_slow, (int32_t *) dst->op_params + 10, sizeof(float));
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const float * freq_factors = nullptr;
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const int32_t * pos = nullptr;
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if ((mode & 1) == 0) {
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GGML_ASSERT(src1->type == GGML_TYPE_I32);
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@ -14024,6 +14034,16 @@ inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1,
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const bool is_neox = mode & 2;
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const bool is_glm = mode & 4;
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if (is_neox) {
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pos = (const int32_t *) src1_dd;
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if (src2 != nullptr) {
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freq_factors = (const float *) src2->data;
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}
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} else {
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GGML_ASSERT(src2 == nullptr && "TODO: freq_factors not implemented for !is_neox");
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}
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rope_corr_dims corr_dims;
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ggml_rope_yarn_corr_dims(n_dims, n_orig_ctx, freq_base, beta_fast, beta_slow, corr_dims.v);
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@ -14035,13 +14055,13 @@ inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1,
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if (src0->type == GGML_TYPE_F32) {
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rope_neox_sycl(
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(const float *)src0_dd, (float *)dst_dd, ne00, n_dims, nrows, pos, freq_scale, ne01, freq_base, ext_factor,
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attn_factor, corr_dims, main_stream
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attn_factor, corr_dims, freq_factors, main_stream
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);
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} else if (src0->type == GGML_TYPE_F16) {
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rope_neox_sycl((const sycl::half *)src0_dd, (sycl::half *)dst_dd,
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ne00, n_dims, nrows, pos, freq_scale, ne01,
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freq_base, ext_factor, attn_factor, corr_dims,
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main_stream);
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freq_factors, main_stream);
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} else {
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GGML_ASSERT(false);
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}
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