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ggml-webgpu: Add supports for GGML_OP_REPEAT (#20230)

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* Add GGML_OP_REPEAT to webgpu backend.

* Add i16 support for GGML_OP_REPEAT.
This commit is contained in:
Masashi Yoshimura
2026-03-12 06:40:36 +09:00
committed by GitHub
parent d28961d81e
commit f2ab047f27
5 changed files with 198 additions and 25 deletions
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ggml/src/ggml-webgpu/ggml-webgpu.cpp
+51 -4
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@@ -1567,6 +1567,48 @@ static webgpu_command ggml_webgpu_concat(webgpu_context & ctx,
return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
}
static webgpu_command ggml_webgpu_repeat(webgpu_context & ctx, ggml_tensor * src0, ggml_tensor * dst) {
uint32_t ne = (uint32_t) ggml_nelements(dst);
std::vector<uint32_t> params = { ne,
(uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) /
ggml_type_size(src0->type)),
(uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
(uint32_t) (src0->nb[0] / ggml_type_size(src0->type)),
(uint32_t) (src0->nb[1] / ggml_type_size(src0->type)),
(uint32_t) (src0->nb[2] / ggml_type_size(src0->type)),
(uint32_t) (src0->nb[3] / ggml_type_size(src0->type)),
(uint32_t) (src0->ne[0]),
(uint32_t) (src0->ne[1]),
(uint32_t) (src0->ne[2]),
(uint32_t) (src0->ne[3]),
(uint32_t) (dst->ne[0]),
(uint32_t) (dst->ne[1]),
(uint32_t) (dst->ne[2]) };
std::vector<wgpu::BindGroupEntry> entries = {
{ .binding = 0,
.buffer = ggml_webgpu_tensor_buf(src0),
.offset = ggml_webgpu_tensor_align_offset(ctx, src0),
.size = ggml_webgpu_tensor_binding_size(ctx, src0) },
{ .binding = 1,
.buffer = ggml_webgpu_tensor_buf(dst),
.offset = ggml_webgpu_tensor_align_offset(ctx, dst),
.size = ggml_webgpu_tensor_binding_size(ctx, dst) }
};
ggml_webgpu_shader_lib_context shader_lib_ctx = {
.src0 = src0,
.dst = dst,
.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
};
webgpu_pipeline pipeline = ctx->shader_lib->get_repeat_pipeline(shader_lib_ctx);
auto * decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
uint32_t wg_x = CEIL_DIV(ne, decisions->wg_size);
return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_buf_pool, pipeline, params, entries, wg_x);
}
static webgpu_command ggml_webgpu_rms_norm(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
int inplace = ggml_webgpu_tensor_equal(src, dst);
@@ -2158,6 +2200,8 @@ static std::optional<webgpu_command> ggml_webgpu_encode_node(webgpu_context ctx,
return ggml_webgpu_binary_op(ctx, src0, src1, node);
case GGML_OP_CONCAT:
return ggml_webgpu_concat(ctx, src0, src1, node);
case GGML_OP_REPEAT:
return ggml_webgpu_repeat(ctx, src0, node);
case GGML_OP_RMS_NORM:
return ggml_webgpu_rms_norm(ctx, src0, node);
case GGML_OP_ROPE:
@@ -2919,10 +2963,10 @@ static ggml_backend_buffer_type_t ggml_backend_webgpu_device_get_buffer_type(ggm
/* .iface = */ {
/* .get_name = */ ggml_backend_webgpu_buffer_type_get_name,
/* .alloc_buffer = */
ggml_backend_webgpu_buffer_type_alloc_buffer, /* .get_alignment = */
ggml_backend_webgpu_buffer_type_get_alignment, /* .get_max_size = */
ggml_backend_webgpu_buffer_type_get_max_size, /* .get_alloc_size = */
ggml_backend_webgpu_buffer_type_get_alloc_size, /* .is_host = */ NULL, // defaults to false
ggml_backend_webgpu_buffer_type_alloc_buffer, /* .get_alignment = */
ggml_backend_webgpu_buffer_type_get_alignment, /* .get_max_size = */
ggml_backend_webgpu_buffer_type_get_max_size, /* .get_alloc_size = */
ggml_backend_webgpu_buffer_type_get_alloc_size, /* .is_host = */ NULL, // defaults to false
},
/* .device = */
dev,
@@ -3000,6 +3044,9 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const
case GGML_OP_CONCAT:
supports_op = (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_I32);
break;
case GGML_OP_REPEAT:
supports_op = (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_I32 || src0->type == GGML_TYPE_I16);
break;
case GGML_OP_CPY:
case GGML_OP_CONT:
supports_op = ((op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) &&