File size: 5,894 Bytes
c59fd93 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 | #include "virtgpu-forward-impl.h"
void * apir_buffer_get_base(virtgpu * gpu, apir_buffer_context_t * buffer_context) {
apir_encoder * encoder;
apir_decoder * decoder;
ApirForwardReturnCode ret;
REMOTE_CALL_PREPARE(gpu, encoder, APIR_COMMAND_TYPE_BUFFER_GET_BASE);
apir_encode_apir_buffer_host_handle_t(encoder, &buffer_context->host_handle);
REMOTE_CALL(gpu, encoder, decoder, ret);
uintptr_t base;
apir_decode_uintptr_t(decoder, &base);
remote_call_finish(gpu, encoder, decoder);
return (void *) base;
}
void apir_buffer_set_tensor(virtgpu * gpu,
apir_buffer_context_t * buffer_context,
ggml_tensor * tensor,
const void * data,
size_t offset,
size_t size) {
apir_encoder * encoder;
apir_decoder * decoder;
ApirForwardReturnCode ret;
REMOTE_CALL_PREPARE(gpu, encoder, APIR_COMMAND_TYPE_BUFFER_SET_TENSOR);
apir_encode_apir_buffer_host_handle_t(encoder, &buffer_context->host_handle);
apir_encode_ggml_tensor(encoder, tensor);
virtgpu_shmem temp_shmem; // Local storage for large buffers
virtgpu_shmem * shmem = &temp_shmem;
bool using_shared_shmem = false;
if (size <= gpu->data_shmem.mmap_size) {
// Lock mutex before using shared data_shmem buffer
if (mtx_lock(&gpu->data_shmem_mutex) != thrd_success) {
GGML_ABORT(GGML_VIRTGPU "%s: Failed to lock data_shmem mutex", __func__);
}
using_shared_shmem = true;
shmem = &gpu->data_shmem;
} else if (virtgpu_shmem_create(gpu, size, shmem)) {
GGML_ABORT(GGML_VIRTGPU "%s: Couldn't allocate the guest-host shared buffer", __func__);
}
memcpy(shmem->mmap_ptr, data, size);
apir_encode_virtgpu_shmem_res_id(encoder, shmem->res_id);
apir_encode_size_t(encoder, &offset);
apir_encode_size_t(encoder, &size);
REMOTE_CALL(gpu, encoder, decoder, ret);
remote_call_finish(gpu, encoder, decoder);
// Unlock mutex before cleanup
if (using_shared_shmem) {
mtx_unlock(&gpu->data_shmem_mutex);
} else {
virtgpu_shmem_destroy(gpu, shmem);
}
return;
}
void apir_buffer_get_tensor(virtgpu * gpu,
apir_buffer_context_t * buffer_context,
const ggml_tensor * tensor,
void * data,
size_t offset,
size_t size) {
apir_encoder * encoder;
apir_decoder * decoder;
ApirForwardReturnCode ret;
REMOTE_CALL_PREPARE(gpu, encoder, APIR_COMMAND_TYPE_BUFFER_GET_TENSOR);
apir_encode_apir_buffer_host_handle_t(encoder, &buffer_context->host_handle);
apir_encode_ggml_tensor(encoder, tensor);
virtgpu_shmem temp_shmem; // Local storage for large buffers
virtgpu_shmem * shmem = &temp_shmem;
bool using_shared_shmem = false;
if (size <= gpu->data_shmem.mmap_size) {
// Lock mutex before using shared data_shmem buffer
if (mtx_lock(&gpu->data_shmem_mutex) != thrd_success) {
GGML_ABORT(GGML_VIRTGPU "%s: Failed to lock data_shmem mutex", __func__);
}
using_shared_shmem = true;
shmem = &gpu->data_shmem;
} else if (virtgpu_shmem_create(gpu, size, shmem)) {
GGML_ABORT(GGML_VIRTGPU "%s: Couldn't allocate the guest-host shared buffer", __func__);
}
apir_encode_virtgpu_shmem_res_id(encoder, shmem->res_id);
apir_encode_size_t(encoder, &offset);
apir_encode_size_t(encoder, &size);
REMOTE_CALL(gpu, encoder, decoder, ret);
memcpy(data, shmem->mmap_ptr, size);
remote_call_finish(gpu, encoder, decoder);
// Unlock mutex before cleanup
if (using_shared_shmem) {
mtx_unlock(&gpu->data_shmem_mutex);
} else {
virtgpu_shmem_destroy(gpu, shmem);
}
}
bool apir_buffer_cpy_tensor(virtgpu * gpu,
apir_buffer_context_t * buffer_context,
const ggml_tensor * src,
const ggml_tensor * dst) {
apir_encoder * encoder;
apir_decoder * decoder;
ApirForwardReturnCode ret;
REMOTE_CALL_PREPARE(gpu, encoder, APIR_COMMAND_TYPE_BUFFER_CPY_TENSOR);
apir_encode_apir_buffer_host_handle_t(encoder, &buffer_context->host_handle);
apir_encode_ggml_tensor(encoder, src);
apir_encode_ggml_tensor(encoder, dst);
REMOTE_CALL(gpu, encoder, decoder, ret);
bool ret_val;
apir_decode_bool_t(decoder, &ret_val);
remote_call_finish(gpu, encoder, decoder);
return ret_val;
}
void apir_buffer_clear(virtgpu * gpu, apir_buffer_context_t * buffer_context, uint8_t value) {
apir_encoder * encoder;
apir_decoder * decoder;
ApirForwardReturnCode ret;
REMOTE_CALL_PREPARE(gpu, encoder, APIR_COMMAND_TYPE_BUFFER_CLEAR);
apir_encode_apir_buffer_host_handle_t(encoder, &buffer_context->host_handle);
apir_encode_uint8_t(encoder, &value);
REMOTE_CALL(gpu, encoder, decoder, ret);
remote_call_finish(gpu, encoder, decoder);
}
void apir_buffer_free_buffer(virtgpu * gpu, apir_buffer_context_t * buffer_context) {
apir_encoder * encoder;
apir_decoder * decoder;
ApirForwardReturnCode ret;
REMOTE_CALL_PREPARE(gpu, encoder, APIR_COMMAND_TYPE_BUFFER_FREE_BUFFER);
apir_encode_apir_buffer_host_handle_t(encoder, &buffer_context->host_handle);
REMOTE_CALL(gpu, encoder, decoder, ret);
remote_call_finish(gpu, encoder, decoder);
}
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