mirror of
https://github.com/ggml-org/whisper.cpp.git
synced 2026-10-08 23:41:15 +02:00
sync : resolve conflicts (ggml/0)
ggml-ci
This commit is contained in:
@@ -425,13 +425,14 @@ struct vk_device_struct {
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vk_pipeline pipeline_div_norepeat[2][2][2];
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vk_pipeline pipeline_concat_f32, pipeline_concat_f16, pipeline_concat_i32;
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vk_pipeline pipeline_upscale_f32;
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vk_pipeline pipeline_upscale_nearest_f32, pipeline_upscale_bilinear_f32, pipeline_upscale_bilinear_ac_f32;
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vk_pipeline pipeline_scale_f32;
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vk_pipeline pipeline_sqr_f32;
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vk_pipeline pipeline_sin_f32;
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vk_pipeline pipeline_cos_f32;
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vk_pipeline pipeline_clamp_f32;
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vk_pipeline pipeline_pad_f32;
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vk_pipeline pipeline_roll_f32;
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vk_pipeline pipeline_repeat_f32, pipeline_repeat_back_f32;
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vk_pipeline pipeline_cpy_f32_f32, pipeline_cpy_f32_f16, pipeline_cpy_f16_f16, pipeline_cpy_f16_f32, pipeline_cpy_f32_bf16;
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vk_pipeline pipeline_contig_cpy_f32_f32, pipeline_contig_cpy_f32_f16, pipeline_contig_cpy_f16_f16, pipeline_contig_cpy_f16_f32, pipeline_contig_cpy_f32_bf16;
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@@ -694,6 +695,37 @@ struct vk_op_unary_push_constants {
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};
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static_assert(sizeof(vk_op_unary_push_constants) <= 128, "sizeof(vk_op_unary_push_constants) must be <= 128");
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static vk_op_unary_push_constants vk_op_unary_push_constants_init(const ggml_tensor * src0, const ggml_tensor * dst, int64_t ne = 0) {
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GGML_ASSERT(ne != 0 || (ggml_nelements(src0) == ggml_nelements(dst)));
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ne = ne != 0 ? ne : ggml_nelements(dst);
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GGML_ASSERT(ne <= (int64_t)std::numeric_limits<uint32_t>::max());
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vk_op_unary_push_constants p{};
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p.ne = (uint32_t)ne;
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size_t src0_tsize = ggml_type_size(src0->type);
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p.ne00 = (uint32_t)src0->ne[0];
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p.ne01 = (uint32_t)src0->ne[1];
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p.ne02 = (uint32_t)src0->ne[2];
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p.ne03 = (uint32_t)src0->ne[3];
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p.nb00 = (uint32_t)(src0->nb[0] / src0_tsize);
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p.nb01 = (uint32_t)(src0->nb[1] / src0_tsize);
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p.nb02 = (uint32_t)(src0->nb[2] / src0_tsize);
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p.nb03 = (uint32_t)(src0->nb[3] / src0_tsize);
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size_t dst_tsize = ggml_type_size(dst->type);
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p.ne10 = (uint32_t)dst->ne[0];
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p.ne11 = (uint32_t)dst->ne[1];
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p.ne12 = (uint32_t)dst->ne[2];
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p.ne13 = (uint32_t)dst->ne[3];
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p.nb10 = (uint32_t)(dst->nb[0] / dst_tsize);
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p.nb11 = (uint32_t)(dst->nb[1] / dst_tsize);
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p.nb12 = (uint32_t)(dst->nb[2] / dst_tsize);
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p.nb13 = (uint32_t)(dst->nb[3] / dst_tsize);
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return p; // fastdiv values and offsets are initialized later in ggml_vk_op
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}
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// See https://gmplib.org/~tege/divcnst-pldi94.pdf figure 4.1.
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// Precompute mp (m' in the paper) and L such that division
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// can be computed using a multiply (high 32b of 64b result)
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@@ -863,6 +895,7 @@ struct vk_op_conv2d_dw_push_constants {
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struct vk_op_upscale_push_constants {
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uint32_t ne; uint32_t a_offset; uint32_t d_offset;
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uint32_t ne00; uint32_t ne01;
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uint32_t nb00; uint32_t nb01; uint32_t nb02; uint32_t nb03;
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uint32_t ne10; uint32_t ne11; uint32_t ne12; uint32_t ne13;
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float sf0; float sf1; float sf2; float sf3;
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@@ -2824,7 +2857,9 @@ static void ggml_vk_load_shaders(vk_device& device) {
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ggml_vk_create_pipeline(device, device->pipeline_concat_f16, "concat_f16", concat_f16_len, concat_f16_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
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ggml_vk_create_pipeline(device, device->pipeline_concat_i32, "concat_i32", concat_i32_len, concat_i32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
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ggml_vk_create_pipeline(device, device->pipeline_upscale_f32, "upscale_f32", upscale_f32_len, upscale_f32_data, "main", 2, sizeof(vk_op_upscale_push_constants), {512, 1, 1}, {}, 1);
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ggml_vk_create_pipeline(device, device->pipeline_upscale_nearest_f32, "upscale_f32", upscale_f32_len, upscale_f32_data, "main", 2, sizeof(vk_op_upscale_push_constants), {512, 1, 1}, {GGML_SCALE_MODE_NEAREST}, 1);
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ggml_vk_create_pipeline(device, device->pipeline_upscale_bilinear_f32, "upscale_f32", upscale_f32_len, upscale_f32_data, "main", 2, sizeof(vk_op_upscale_push_constants), {512, 1, 1}, {GGML_SCALE_MODE_BILINEAR}, 1);
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ggml_vk_create_pipeline(device, device->pipeline_upscale_bilinear_ac_f32, "upscale_f32", upscale_f32_len, upscale_f32_data, "main", 2, sizeof(vk_op_upscale_push_constants), {512, 1, 1}, {GGML_SCALE_MODE_BILINEAR | GGML_SCALE_FLAG_ALIGN_CORNERS}, 1);
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ggml_vk_create_pipeline(device, device->pipeline_scale_f32, "scale_f32", scale_f32_len, scale_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
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@@ -2836,6 +2871,8 @@ static void ggml_vk_load_shaders(vk_device& device) {
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ggml_vk_create_pipeline(device, device->pipeline_pad_f32, "pad_f32", pad_f32_len, pad_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
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ggml_vk_create_pipeline(device, device->pipeline_roll_f32, "roll_f32", roll_f32_len, roll_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
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ggml_vk_create_pipeline(device, device->pipeline_repeat_f32, "repeat_f32", repeat_f32_len, repeat_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
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ggml_vk_create_pipeline(device, device->pipeline_repeat_back_f32, "repeat_back_f32", repeat_back_f32_len, repeat_back_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
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@@ -6502,8 +6539,16 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
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}
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return nullptr;
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case GGML_OP_UPSCALE:
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if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32 && dst->op_params[0] == GGML_SCALE_MODE_NEAREST) {
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return ctx->device->pipeline_upscale_f32;
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if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
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int mode = ggml_get_op_params_i32(dst, 0);
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switch (mode) {
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case GGML_SCALE_MODE_NEAREST:
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return ctx->device->pipeline_upscale_nearest_f32;
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case GGML_SCALE_MODE_BILINEAR:
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return ctx->device->pipeline_upscale_bilinear_f32;
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case GGML_SCALE_MODE_BILINEAR | GGML_SCALE_FLAG_ALIGN_CORNERS:
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return ctx->device->pipeline_upscale_bilinear_ac_f32;
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}
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}
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return nullptr;
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case GGML_OP_SCALE:
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@@ -6536,6 +6581,11 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
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return ctx->device->pipeline_pad_f32;
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}
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return nullptr;
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case GGML_OP_ROLL:
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if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
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return ctx->device->pipeline_roll_f32;
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}
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return nullptr;
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case GGML_OP_REPEAT:
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if (ggml_type_size(src0->type) == sizeof(float) && ggml_type_size(dst->type) == sizeof(float)) {
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return ctx->device->pipeline_repeat_f32;
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@@ -7085,6 +7135,7 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context& subctx, co
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case GGML_OP_COS:
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case GGML_OP_CLAMP:
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case GGML_OP_PAD:
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case GGML_OP_ROLL:
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case GGML_OP_REPEAT:
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case GGML_OP_REPEAT_BACK:
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case GGML_OP_CPY:
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@@ -7546,14 +7597,21 @@ static void ggml_vk_concat(ggml_backend_vk_context * ctx, vk_context& subctx, co
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static void ggml_vk_upscale(ggml_backend_vk_context * ctx, vk_context& subctx, const ggml_tensor * src0, ggml_tensor * dst, bool dryrun = false) {
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const uint32_t src0_type_size = ggml_type_size(src0->type);
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const uint32_t mode = (uint32_t)ggml_get_op_params_i32(dst, 0);
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const float sf0 = (float)dst->ne[0] / src0->ne[0];
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const float sf1 = (float)dst->ne[1] / src0->ne[1];
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const float sf2 = (float)dst->ne[2] / src0->ne[2];
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const float sf3 = (float)dst->ne[3] / src0->ne[3];
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float sf0 = (float)dst->ne[0] / src0->ne[0];
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float sf1 = (float)dst->ne[1] / src0->ne[1];
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float sf2 = (float)dst->ne[2] / src0->ne[2];
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float sf3 = (float)dst->ne[3] / src0->ne[3];
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if (mode & GGML_SCALE_FLAG_ALIGN_CORNERS) {
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sf0 = (float)(dst->ne[0] - 1) / (src0->ne[0] - 1);
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sf1 = (float)(dst->ne[1] - 1) / (src0->ne[1] - 1);
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}
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ggml_vk_op_f32<vk_op_upscale_push_constants>(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_UPSCALE, {
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(uint32_t)ggml_nelements(dst), 0, 0,
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(uint32_t)src0->ne[0], (uint32_t)src0->ne[1],
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(uint32_t)src0->nb[0] / src0_type_size, (uint32_t)src0->nb[1] / src0_type_size, (uint32_t)src0->nb[2] / src0_type_size, (uint32_t)src0->nb[3] / src0_type_size,
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(uint32_t)dst->ne[0], (uint32_t)dst->ne[1], (uint32_t)dst->ne[2],(uint32_t)dst->ne[3],
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sf0, sf1, sf2, sf3,
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@@ -7561,123 +7619,64 @@ static void ggml_vk_upscale(ggml_backend_vk_context * ctx, vk_context& subctx, c
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}
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static void ggml_vk_scale(ggml_backend_vk_context * ctx, vk_context& subctx, const ggml_tensor * src0, ggml_tensor * dst, bool dryrun = false) {
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float * op_params = (float *)dst->op_params;
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const uint32_t src0_type_size = ggml_type_size(src0->type);
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const uint32_t dst_type_size = ggml_type_size(dst->type);
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vk_op_unary_push_constants p = vk_op_unary_push_constants_init(src0, dst);
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p.param1 = ggml_get_op_params_f32(dst, 0);
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p.param2 = ggml_get_op_params_f32(dst, 1);
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ggml_vk_op_f32<vk_op_unary_push_constants>(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_SCALE, {
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(uint32_t)ggml_nelements(src0),
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(uint32_t)src0->ne[0], (uint32_t)src0->ne[1], (uint32_t)src0->ne[2], (uint32_t)src0->ne[3], (uint32_t)src0->nb[0] / src0_type_size, (uint32_t)src0->nb[1] / src0_type_size, (uint32_t)src0->nb[2] / src0_type_size, (uint32_t)src0->nb[3] / src0_type_size,
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(uint32_t) dst->ne[0], (uint32_t) dst->ne[1], (uint32_t) dst->ne[2], (uint32_t) dst->ne[3], (uint32_t) dst->nb[0] / dst_type_size, (uint32_t) dst->nb[1] / dst_type_size, (uint32_t) dst->nb[2] / dst_type_size, (uint32_t) dst->nb[3] / dst_type_size,
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0,
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op_params[0], op_params[1],
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
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}, dryrun);
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ggml_vk_op_f32(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_SCALE, std::move(p), dryrun);
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}
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static void ggml_vk_sqr(ggml_backend_vk_context * ctx, vk_context& subctx, const ggml_tensor * src0, ggml_tensor * dst, bool dryrun = false) {
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const uint32_t src0_type_size = ggml_type_size(src0->type);
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const uint32_t dst_type_size = ggml_type_size(dst->type);
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ggml_vk_op_f32<vk_op_unary_push_constants>(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_SQR, {
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(uint32_t)ggml_nelements(src0),
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(uint32_t)src0->ne[0], (uint32_t)src0->ne[1], (uint32_t)src0->ne[2], (uint32_t)src0->ne[3], (uint32_t)src0->nb[0] / src0_type_size, (uint32_t)src0->nb[1] / src0_type_size, (uint32_t)src0->nb[2] / src0_type_size, (uint32_t)src0->nb[3] / src0_type_size,
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(uint32_t) dst->ne[0], (uint32_t) dst->ne[1], (uint32_t) dst->ne[2], (uint32_t) dst->ne[3], (uint32_t) dst->nb[0] / dst_type_size, (uint32_t) dst->nb[1] / dst_type_size, (uint32_t) dst->nb[2] / dst_type_size, (uint32_t) dst->nb[3] / dst_type_size,
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0,
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0.0f, 0.0f,
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
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}, dryrun);
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ggml_vk_op_f32(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_SQR, vk_op_unary_push_constants_init(src0, dst), dryrun);
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}
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static void ggml_vk_sin(ggml_backend_vk_context * ctx, vk_context& subctx, const ggml_tensor * src0, ggml_tensor * dst, bool dryrun = false) {
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const uint32_t src0_type_size = ggml_type_size(src0->type);
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const uint32_t dst_type_size = ggml_type_size(dst->type);
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ggml_vk_op_f32<vk_op_unary_push_constants>(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_SIN, {
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(uint32_t)ggml_nelements(src0),
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(uint32_t)src0->ne[0], (uint32_t)src0->ne[1], (uint32_t)src0->ne[2], (uint32_t)src0->ne[3], (uint32_t)src0->nb[0] / src0_type_size, (uint32_t)src0->nb[1] / src0_type_size, (uint32_t)src0->nb[2] / src0_type_size, (uint32_t)src0->nb[3] / src0_type_size,
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(uint32_t) dst->ne[0], (uint32_t) dst->ne[1], (uint32_t) dst->ne[2], (uint32_t) dst->ne[3], (uint32_t) dst->nb[0] / dst_type_size, (uint32_t) dst->nb[1] / dst_type_size, (uint32_t) dst->nb[2] / dst_type_size, (uint32_t) dst->nb[3] / dst_type_size,
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0,
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0.0f, 0.0f,
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
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}, dryrun);
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ggml_vk_op_f32(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_SIN, vk_op_unary_push_constants_init(src0, dst), dryrun);
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}
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static void ggml_vk_cos(ggml_backend_vk_context * ctx, vk_context& subctx, const ggml_tensor * src0, ggml_tensor * dst, bool dryrun = false) {
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const uint32_t src0_type_size = ggml_type_size(src0->type);
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const uint32_t dst_type_size = ggml_type_size(dst->type);
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ggml_vk_op_f32<vk_op_unary_push_constants>(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_COS, {
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(uint32_t)ggml_nelements(src0),
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(uint32_t)src0->ne[0], (uint32_t)src0->ne[1], (uint32_t)src0->ne[2], (uint32_t)src0->ne[3], (uint32_t)src0->nb[0] / src0_type_size, (uint32_t)src0->nb[1] / src0_type_size, (uint32_t)src0->nb[2] / src0_type_size, (uint32_t)src0->nb[3] / src0_type_size,
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(uint32_t) dst->ne[0], (uint32_t) dst->ne[1], (uint32_t) dst->ne[2], (uint32_t) dst->ne[3], (uint32_t) dst->nb[0] / dst_type_size, (uint32_t) dst->nb[1] / dst_type_size, (uint32_t) dst->nb[2] / dst_type_size, (uint32_t) dst->nb[3] / dst_type_size,
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0,
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0.0f, 0.0f,
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
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}, dryrun);
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ggml_vk_op_f32(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_COS, vk_op_unary_push_constants_init(src0, dst), dryrun);
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}
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static void ggml_vk_clamp(ggml_backend_vk_context * ctx, vk_context& subctx, const ggml_tensor * src0, ggml_tensor * dst, bool dryrun = false) {
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float * op_params = (float *)dst->op_params;
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const uint32_t src0_type_size = ggml_type_size(src0->type);
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const uint32_t dst_type_size = ggml_type_size(dst->type);
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vk_op_unary_push_constants p = vk_op_unary_push_constants_init(src0, dst);
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p.param1 = ggml_get_op_params_f32(dst, 0);
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p.param2 = ggml_get_op_params_f32(dst, 1);
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ggml_vk_op_f32<vk_op_unary_push_constants>(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_CLAMP, {
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(uint32_t)ggml_nelements(src0),
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(uint32_t)src0->ne[0], (uint32_t)src0->ne[1], (uint32_t)src0->ne[2], (uint32_t)src0->ne[3], (uint32_t)src0->nb[0] / src0_type_size, (uint32_t)src0->nb[1] / src0_type_size, (uint32_t)src0->nb[2] / src0_type_size, (uint32_t)src0->nb[3] / src0_type_size,
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(uint32_t) dst->ne[0], (uint32_t) dst->ne[1], (uint32_t) dst->ne[2], (uint32_t) dst->ne[3], (uint32_t) dst->nb[0] / dst_type_size, (uint32_t) dst->nb[1] / dst_type_size, (uint32_t) dst->nb[2] / dst_type_size, (uint32_t) dst->nb[3] / dst_type_size,
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0,
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op_params[0], op_params[1],
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
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}, dryrun);
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||||
ggml_vk_op_f32(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_CLAMP, std::move(p), dryrun);
|
||||
}
|
||||
|
||||
static void ggml_vk_pad(ggml_backend_vk_context * ctx, vk_context& subctx, const ggml_tensor * src0, ggml_tensor * dst, bool dryrun = false) {
|
||||
const uint32_t src0_type_size = ggml_type_size(src0->type);
|
||||
const uint32_t dst_type_size = ggml_type_size(dst->type);
|
||||
vk_op_unary_push_constants p = vk_op_unary_push_constants_init(src0, dst, ggml_nelements(dst));
|
||||
ggml_vk_op_f32(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_PAD, std::move(p), dryrun);
|
||||
}
|
||||
|
||||
ggml_vk_op_f32<vk_op_unary_push_constants>(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_PAD, {
|
||||
(uint32_t)ggml_nelements(dst),
|
||||
(uint32_t)src0->ne[0], (uint32_t)src0->ne[1], (uint32_t)src0->ne[2], (uint32_t)src0->ne[3], (uint32_t)src0->nb[0] / src0_type_size, (uint32_t)src0->nb[1] / src0_type_size, (uint32_t)src0->nb[2] / src0_type_size, (uint32_t)src0->nb[3] / src0_type_size,
|
||||
(uint32_t) dst->ne[0], (uint32_t) dst->ne[1], (uint32_t) dst->ne[2], (uint32_t) dst->ne[3], (uint32_t) dst->nb[0] / dst_type_size, (uint32_t) dst->nb[1] / dst_type_size, (uint32_t) dst->nb[2] / dst_type_size, (uint32_t) dst->nb[3] / dst_type_size,
|
||||
0,
|
||||
0.0f, 0.0f,
|
||||
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
|
||||
}, dryrun);
|
||||
static void ggml_vk_roll(ggml_backend_vk_context * ctx, vk_context& subctx, const ggml_tensor * src0, ggml_tensor * dst, bool dryrun = false) {
|
||||
const int32_t s0 = ggml_get_op_params_i32(dst, 0);
|
||||
const int32_t s1 = ggml_get_op_params_i32(dst, 1);
|
||||
const int32_t s2 = ggml_get_op_params_i32(dst, 2);
|
||||
const int32_t s3 = ggml_get_op_params_i32(dst, 3);
|
||||
const uint32_t s01_packed = ((s0 + 0x8000) << 16) | (s1 + 0x8000);
|
||||
const uint32_t s23_packed = ((s2 + 0x8000) << 16) | (s3 + 0x8000);
|
||||
|
||||
vk_op_unary_push_constants p = vk_op_unary_push_constants_init(src0, dst);
|
||||
memcpy(&p.param1, &s01_packed, sizeof(float));
|
||||
memcpy(&p.param2, &s23_packed, sizeof(float));
|
||||
|
||||
ggml_vk_op_f32(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_ROLL, std::move(p), dryrun);
|
||||
}
|
||||
|
||||
static void ggml_vk_repeat(ggml_backend_vk_context * ctx, vk_context& subctx, const ggml_tensor * src0, ggml_tensor * dst, bool dryrun = false) {
|
||||
const uint32_t src0_type_size = ggml_type_size(src0->type);
|
||||
const uint32_t dst_type_size = ggml_type_size(dst->type);
|
||||
|
||||
ggml_vk_op_f32<vk_op_unary_push_constants>(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_REPEAT, {
|
||||
(uint32_t)ggml_nelements(dst),
|
||||
(uint32_t)src0->ne[0], (uint32_t)src0->ne[1], (uint32_t)src0->ne[2], (uint32_t)src0->ne[3], (uint32_t)src0->nb[0] / src0_type_size, (uint32_t)src0->nb[1] / src0_type_size, (uint32_t)src0->nb[2] / src0_type_size, (uint32_t)src0->nb[3] / src0_type_size,
|
||||
(uint32_t) dst->ne[0], (uint32_t) dst->ne[1], (uint32_t) dst->ne[2], (uint32_t) dst->ne[3], (uint32_t) dst->nb[0] / dst_type_size, (uint32_t) dst->nb[1] / dst_type_size, (uint32_t) dst->nb[2] / dst_type_size, (uint32_t) dst->nb[3] / dst_type_size,
|
||||
0,
|
||||
0.0f, 0.0f,
|
||||
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
|
||||
}, dryrun);
|
||||
vk_op_unary_push_constants p = vk_op_unary_push_constants_init(src0, dst, ggml_nelements(dst));
|
||||
ggml_vk_op_f32(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_REPEAT, std::move(p), dryrun);
|
||||
}
|
||||
|
||||
static void ggml_vk_repeat_back(ggml_backend_vk_context * ctx, vk_context& subctx, const ggml_tensor * src0, ggml_tensor * dst, bool dryrun = false) {
|
||||
const uint32_t src0_type_size = ggml_type_size(src0->type);
|
||||
const uint32_t dst_type_size = ggml_type_size(dst->type);
|
||||
|
||||
ggml_vk_op_f32<vk_op_unary_push_constants>(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_REPEAT_BACK, {
|
||||
(uint32_t)ggml_nelements(dst),
|
||||
(uint32_t)src0->ne[0], (uint32_t)src0->ne[1], (uint32_t)src0->ne[2], (uint32_t)src0->ne[3], (uint32_t)src0->nb[0] / src0_type_size, (uint32_t)src0->nb[1] / src0_type_size, (uint32_t)src0->nb[2] / src0_type_size, (uint32_t)src0->nb[3] / src0_type_size,
|
||||
(uint32_t) dst->ne[0], (uint32_t) dst->ne[1], (uint32_t) dst->ne[2], (uint32_t) dst->ne[3], (uint32_t) dst->nb[0] / dst_type_size, (uint32_t) dst->nb[1] / dst_type_size, (uint32_t) dst->nb[2] / dst_type_size, (uint32_t) dst->nb[3] / dst_type_size,
|
||||
0,
|
||||
0.0f, 0.0f,
|
||||
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
|
||||
}, dryrun);
|
||||
vk_op_unary_push_constants p = vk_op_unary_push_constants_init(src0, dst, ggml_nelements(dst));
|
||||
ggml_vk_op_f32(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_REPEAT_BACK, std::move(p), dryrun);
|
||||
}
|
||||
|
||||
static void ggml_vk_cpy(ggml_backend_vk_context * ctx, vk_context& subctx, const ggml_tensor * src0, ggml_tensor * dst, bool dryrun = false) {
|
||||
const uint32_t src0_type_size = ggml_type_size(src0->type);
|
||||
const uint32_t dst_type_size = ggml_type_size(dst->type);
|
||||
|
||||
uint32_t ne = (uint32_t)ggml_nelements(src0);
|
||||
if (ggml_is_quantized(src0->type) && ggml_is_quantized(dst->type)) {
|
||||
// Convert from number of logical elements to 2- or 4-byte units.
|
||||
@@ -7689,14 +7688,8 @@ static void ggml_vk_cpy(ggml_backend_vk_context * ctx, vk_context& subctx, const
|
||||
}
|
||||
}
|
||||
|
||||
ggml_vk_op_f32<vk_op_unary_push_constants>(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_CPY, {
|
||||
ne,
|
||||
(uint32_t)src0->ne[0], (uint32_t)src0->ne[1], (uint32_t)src0->ne[2], (uint32_t)src0->ne[3], (uint32_t)src0->nb[0] / src0_type_size, (uint32_t)src0->nb[1] / src0_type_size, (uint32_t)src0->nb[2] / src0_type_size, (uint32_t)src0->nb[3] / src0_type_size,
|
||||
(uint32_t) dst->ne[0], (uint32_t) dst->ne[1], (uint32_t) dst->ne[2], (uint32_t) dst->ne[3], (uint32_t) dst->nb[0] / dst_type_size, (uint32_t) dst->nb[1] / dst_type_size, (uint32_t) dst->nb[2] / dst_type_size, (uint32_t) dst->nb[3] / dst_type_size,
|
||||
0,
|
||||
0.0f, 0.0f,
|
||||
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
|
||||
}, dryrun);
|
||||
vk_op_unary_push_constants p = vk_op_unary_push_constants_init(src0, dst, ne);
|
||||
ggml_vk_op_f32(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_CPY, std::move(p), dryrun);
|
||||
}
|
||||
|
||||
static void ggml_vk_set_rows(ggml_backend_vk_context * ctx, vk_context& subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, bool dryrun = false) {
|
||||
@@ -9033,6 +9026,7 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_cgraph * cgr
|
||||
case GGML_OP_COS:
|
||||
case GGML_OP_CLAMP:
|
||||
case GGML_OP_PAD:
|
||||
case GGML_OP_ROLL:
|
||||
case GGML_OP_CPY:
|
||||
case GGML_OP_SET_ROWS:
|
||||
case GGML_OP_CONT:
|
||||
@@ -9204,6 +9198,10 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_cgraph * cgr
|
||||
case GGML_OP_PAD:
|
||||
ggml_vk_pad(ctx, compute_ctx, src0, node, dryrun);
|
||||
|
||||
break;
|
||||
case GGML_OP_ROLL:
|
||||
ggml_vk_roll(ctx, compute_ctx, src0, node, dryrun);
|
||||
|
||||
break;
|
||||
case GGML_OP_CPY:
|
||||
case GGML_OP_CONT:
|
||||
@@ -9428,6 +9426,7 @@ static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_cgraph *
|
||||
case GGML_OP_COS:
|
||||
case GGML_OP_CLAMP:
|
||||
case GGML_OP_PAD:
|
||||
case GGML_OP_ROLL:
|
||||
case GGML_OP_CPY:
|
||||
case GGML_OP_SET_ROWS:
|
||||
case GGML_OP_CONT:
|
||||
@@ -10594,13 +10593,12 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
|
||||
case GGML_OP_CLAMP:
|
||||
return op->src[0]->type == GGML_TYPE_F32;
|
||||
case GGML_OP_UPSCALE:
|
||||
return op->op_params[0] == GGML_SCALE_MODE_NEAREST;
|
||||
case GGML_OP_ACC:
|
||||
case GGML_OP_CONCAT:
|
||||
case GGML_OP_SCALE:
|
||||
case GGML_OP_PAD:
|
||||
case GGML_OP_ROLL:
|
||||
case GGML_OP_DIAG_MASK_INF:
|
||||
return true;
|
||||
case GGML_OP_SOFT_MAX:
|
||||
case GGML_OP_SOFT_MAX_BACK:
|
||||
case GGML_OP_ARGSORT:
|
||||
|
||||
@@ -3,6 +3,7 @@
|
||||
layout (push_constant) uniform parameter
|
||||
{
|
||||
uint ne; uint a_offset; uint d_offset;
|
||||
uint ne00; uint ne01;
|
||||
uint nb00; uint nb01; uint nb02; uint nb03;
|
||||
uint ne10; uint ne11; uint ne12; uint ne13;
|
||||
float sf0; float sf1; float sf2; float sf3;
|
||||
@@ -15,6 +16,61 @@ layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
|
||||
layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
|
||||
layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
|
||||
|
||||
// from ggml.h: enum ggml_scale_mode, enum ggml_scale_flag
|
||||
#define NEAREST 0
|
||||
#define BILINEAR 1
|
||||
#define ALIGN_CORNERS (1 << 8)
|
||||
|
||||
layout (constant_id = 0) const uint scale_mode = 0;
|
||||
|
||||
float fetch_nearest(uint i10, uint i11, uint i12, uint i13) {
|
||||
const uint i00 = uint(i10 / p.sf0);
|
||||
const uint i01 = uint(i11 / p.sf1);
|
||||
const uint i02 = uint(i12 / p.sf2);
|
||||
const uint i03 = uint(i13 / p.sf3);
|
||||
|
||||
return data_a[p.a_offset + i03 * p.nb03 + i02 * p.nb02 + i01 * p.nb01 + i00 * p.nb00];
|
||||
}
|
||||
|
||||
float fetch_bilinear(ivec2 c0, ivec2 c1, vec2 d, uint i12, uint i13) {
|
||||
const uint i02 = uint(i12 / p.sf2);
|
||||
const uint i03 = uint(i13 / p.sf3);
|
||||
const uint base = p.a_offset + i03 * p.nb03 + i02 * p.nb02;
|
||||
|
||||
const float v00 = data_a[base + c0.y * p.nb01 + c0.x * p.nb00];
|
||||
const float v01 = data_a[base + c0.y * p.nb01 + c1.x * p.nb00];
|
||||
const float v10 = data_a[base + c1.y * p.nb01 + c0.x * p.nb00];
|
||||
const float v11 = data_a[base + c1.y * p.nb01 + c1.x * p.nb00];
|
||||
|
||||
return
|
||||
v00 * (1.0-d.x) * (1.0-d.y) +
|
||||
v01 * d.x * (1.0-d.y) +
|
||||
v10 * (1.0-d.x) * d.y +
|
||||
v11 * d.x * d.y;
|
||||
}
|
||||
|
||||
float interpolate_bilinear(uint i10, uint i11, uint i12, uint i13) {
|
||||
const ivec2 ne0 = ivec2(p.ne00, p.ne01);
|
||||
|
||||
const vec2 c = (vec2(i10, i11) + 0.5) / vec2(p.sf0, p.sf1) - 0.5;
|
||||
const vec2 c0f = floor(c);
|
||||
const vec2 d = c - c0f;
|
||||
const ivec2 c0 = max(ivec2(c0f), 0);
|
||||
const ivec2 c1 = min(ivec2(c0f + 1), ne0 - 1);
|
||||
|
||||
return fetch_bilinear(c0, c1, d, i12, i13);
|
||||
}
|
||||
|
||||
float interpolate_bilinear_align_corners(uint i10, uint i11, uint i12, uint i13) {
|
||||
const vec2 c = vec2(i10, i11) / vec2(p.sf0, p.sf1);
|
||||
const vec2 c0f = floor(c);
|
||||
const vec2 d = c - c0f;
|
||||
const ivec2 c0 = ivec2(c0f);
|
||||
const ivec2 c1 = c0 + 1;
|
||||
|
||||
return fetch_bilinear(c0, c1, d, i12, i13);
|
||||
}
|
||||
|
||||
void main() {
|
||||
const uint idx = gl_GlobalInvocationID.z * 262144 + gl_GlobalInvocationID.y * 512 + gl_GlobalInvocationID.x;
|
||||
|
||||
@@ -27,10 +83,18 @@ void main() {
|
||||
const uint i12 = (idx / (p.ne10 * p.ne11)) % p.ne12;
|
||||
const uint i13 = (idx / (p.ne10 * p.ne11 * p.ne12)) % p.ne13;
|
||||
|
||||
const uint i00 = uint(i10 / p.sf0);
|
||||
const uint i01 = uint(i11 / p.sf1);
|
||||
const uint i02 = uint(i12 / p.sf2);
|
||||
const uint i03 = uint(i13 / p.sf3);
|
||||
float result;
|
||||
switch (scale_mode) {
|
||||
case NEAREST:
|
||||
result = fetch_nearest(i10, i11, i12, i13);
|
||||
break;
|
||||
case BILINEAR:
|
||||
result = interpolate_bilinear(i10, i11, i12, i13);
|
||||
break;
|
||||
case BILINEAR | ALIGN_CORNERS:
|
||||
result = interpolate_bilinear_align_corners(i10, i11, i12, i13);
|
||||
break;
|
||||
}
|
||||
|
||||
data_d[p.d_offset + idx] = D_TYPE(data_a[p.a_offset + i03 * p.nb03 + i02 * p.nb02 + i01 * p.nb01 + i00 * p.nb00]);
|
||||
data_d[p.d_offset + idx] = D_TYPE(result);
|
||||
}
|
||||
|
||||
@@ -653,6 +653,8 @@ void process_shaders() {
|
||||
string_to_spv("conv2d_dw_whcn_f32", "conv2d_dw.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"WHCN", "1"}}));
|
||||
string_to_spv("conv2d_dw_cwhn_f32", "conv2d_dw.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"CWHN", "1"}}));
|
||||
|
||||
string_to_spv("roll_f32", "roll.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float"}}));
|
||||
|
||||
for (auto &c : compiles) {
|
||||
c.wait();
|
||||
}
|
||||
|
||||
@@ -473,6 +473,14 @@ bool ggml_guid_matches(ggml_guid_t guid_a, ggml_guid_t guid_b) {
|
||||
return memcmp(guid_a, guid_b, sizeof(ggml_guid)) == 0;
|
||||
}
|
||||
|
||||
const char * ggml_version(void) {
|
||||
return GGML_VERSION;
|
||||
}
|
||||
|
||||
const char * ggml_commit(void) {
|
||||
return GGML_COMMIT;
|
||||
}
|
||||
|
||||
//
|
||||
// timing
|
||||
//
|
||||
|
||||
Reference in New Issue
Block a user