summaryrefslogtreecommitdiff
path: root/ggml/src/ggml-cuda/cpy.cu
diff options
context:
space:
mode:
Diffstat (limited to 'ggml/src/ggml-cuda/cpy.cu')
-rw-r--r--ggml/src/ggml-cuda/cpy.cu489
1 files changed, 489 insertions, 0 deletions
diff --git a/ggml/src/ggml-cuda/cpy.cu b/ggml/src/ggml-cuda/cpy.cu
new file mode 100644
index 00000000..3db57034
--- /dev/null
+++ b/ggml/src/ggml-cuda/cpy.cu
@@ -0,0 +1,489 @@
+#include "cpy.cuh"
+
+typedef void (*cpy_kernel_t)(const char * cx, char * cdst);
+
+static __device__ void cpy_1_f32_f32(const char * cxi, char * cdsti) {
+ const float * xi = (const float *) cxi;
+ float * dsti = (float *) cdsti;
+
+ *dsti = *xi;
+}
+
+static __device__ void cpy_1_f32_f16(const char * cxi, char * cdsti) {
+ const float * xi = (const float *) cxi;
+ half * dsti = (half *) cdsti;
+
+ *dsti = __float2half(*xi);
+}
+
+static __device__ void cpy_1_f16_f16(const char * cxi, char * cdsti) {
+ const half * xi = (const half *) cxi;
+ half * dsti = (half *) cdsti;
+
+ *dsti = *xi;
+}
+
+static __device__ void cpy_1_f16_f32(const char * cxi, char * cdsti) {
+ const half * xi = (const half *) cxi;
+ float * dsti = (float *) cdsti;
+
+ *dsti = *xi;
+}
+
+template <cpy_kernel_t cpy_1>
+static __global__ void cpy_f32_f16(const char * cx, char * cdst, const int ne,
+ const int ne00, const int ne01, const int ne02, const int nb00, const int nb01, const int nb02,
+ const int nb03, const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
+ const int nb12, const int nb13) {
+ const int64_t i = blockDim.x*blockIdx.x + threadIdx.x;
+
+ if (i >= ne) {
+ return;
+ }
+
+ // determine indices i03/i13, i02/i12, i01/i11, i00/i10 as a function of index i of flattened tensor
+ // then combine those indices with the corresponding byte offsets to get the total offsets
+ const int64_t i03 = i/(ne00 * ne01 * ne02);
+ const int64_t i02 = (i - i03*ne00*ne01*ne02 )/ (ne00*ne01);
+ const int64_t i01 = (i - i03*ne00*ne01*ne02 - i02*ne01*ne00) / ne00;
+ const int64_t i00 = i - i03*ne00*ne01*ne02 - i02*ne01*ne00 - i01*ne00;
+ const int64_t x_offset = i00*nb00 + i01*nb01 + i02*nb02 + i03 * nb03;
+
+ const int64_t i13 = i/(ne10 * ne11 * ne12);
+ const int64_t i12 = (i - i13*ne10*ne11*ne12) / (ne10*ne11);
+ const int64_t i11 = (i - i13*ne10*ne11*ne12 - i12*ne10*ne11) / ne10;
+ const int64_t i10 = i - i13*ne10*ne11*ne12 - i12*ne10*ne11 - i11*ne10;
+ const int64_t dst_offset = i10*nb10 + i11*nb11 + i12*nb12 + i13 * nb13;
+
+ cpy_1(cx + x_offset, cdst + dst_offset);
+}
+
+static __device__ void cpy_blck_f32_q8_0(const char * cxi, char * cdsti) {
+ const float * xi = (const float *) cxi;
+ block_q8_0 * dsti = (block_q8_0 *) cdsti;
+
+ float amax = 0.0f; // absolute max
+
+ for (int j = 0; j < QK8_0; j++) {
+ const float v = xi[j];
+ amax = fmaxf(amax, fabsf(v));
+ }
+
+ const float d = amax / ((1 << 7) - 1);
+ const float id = d ? 1.0f/d : 0.0f;
+
+ dsti->d = d;
+
+ for (int j = 0; j < QK8_0; ++j) {
+ const float x0 = xi[j]*id;
+
+ dsti->qs[j] = roundf(x0);
+ }
+}
+
+static __device__ void cpy_blck_f32_q4_0(const char * cxi, char * cdsti) {
+ const float * xi = (const float *) cxi;
+ block_q4_0 * dsti = (block_q4_0 *) cdsti;
+
+ float amax = 0.0f;
+ float vmax = 0.0f;
+
+ for (int j = 0; j < QK4_0; ++j) {
+ const float v = xi[j];
+ if (amax < fabsf(v)) {
+ amax = fabsf(v);
+ vmax = v;
+ }
+ }
+
+ const float d = vmax / -8;
+ const float id = d ? 1.0f/d : 0.0f;
+
+ dsti->d = d;
+
+ for (int j = 0; j < QK4_0/2; ++j) {
+ const float x0 = xi[0 + j]*id;
+ const float x1 = xi[QK4_0/2 + j]*id;
+
+ const uint8_t xi0 = min(15, (int8_t)(x0 + 8.5f));
+ const uint8_t xi1 = min(15, (int8_t)(x1 + 8.5f));
+
+ dsti->qs[j] = xi0;
+ dsti->qs[j] |= xi1 << 4;
+ }
+}
+
+static __device__ void cpy_blck_f32_q4_1(const char * cxi, char * cdsti) {
+ const float * xi = (const float *) cxi;
+ block_q4_1 * dsti = (block_q4_1 *) cdsti;
+
+ float vmin = FLT_MAX;
+ float vmax = -FLT_MAX;
+
+ for (int j = 0; j < QK4_1; ++j) {
+ const float v = xi[j];
+
+ if (v < vmin) vmin = v;
+ if (v > vmax) vmax = v;
+ }
+
+ const float d = (vmax - vmin) / ((1 << 4) - 1);
+ const float id = d ? 1.0f/d : 0.0f;
+
+ dsti->dm.x = d;
+ dsti->dm.y = vmin;
+
+ for (int j = 0; j < QK4_1/2; ++j) {
+ const float x0 = (xi[0 + j] - vmin)*id;
+ const float x1 = (xi[QK4_1/2 + j] - vmin)*id;
+
+ const uint8_t xi0 = min(15, (int8_t)(x0 + 0.5f));
+ const uint8_t xi1 = min(15, (int8_t)(x1 + 0.5f));
+
+ dsti->qs[j] = xi0;
+ dsti->qs[j] |= xi1 << 4;
+ }
+}
+
+static __device__ void cpy_blck_f32_q5_0(const char * cxi, char * cdsti) {
+ const float * xi = (const float *) cxi;
+ block_q5_0 * dsti = (block_q5_0 *) cdsti;
+
+ float amax = 0.0f;
+ float vmax = 0.0f;
+
+ for (int j = 0; j < QK5_0; ++j) {
+ const float v = xi[j];
+ if (amax < fabsf(v)) {
+ amax = fabsf(v);
+ vmax = v;
+ }
+ }
+
+ const float d = vmax / -16;
+ const float id = d ? 1.0f/d : 0.0f;
+
+ dsti->d = d;
+
+ uint32_t qh = 0;
+ for (int j = 0; j < QK5_0/2; ++j) {
+ const float x0 = xi[0 + j]*id;
+ const float x1 = xi[QK5_0/2 + j]*id;
+
+ const uint8_t xi0 = min(31, (int8_t)(x0 + 16.5f));
+ const uint8_t xi1 = min(31, (int8_t)(x1 + 16.5f));
+
+ dsti->qs[j] = (xi0 & 0xf) | ((xi1 & 0xf) << 4);
+ qh |= ((xi0 & 0x10u) >> 4) << (j + 0);
+ qh |= ((xi1 & 0x10u) >> 4) << (j + QK5_0/2);
+ }
+ memcpy(dsti->qh, &qh, sizeof(qh));
+}
+
+static __device__ void cpy_blck_f32_q5_1(const char * cxi, char * cdsti) {
+ const float * xi = (const float *) cxi;
+ block_q5_1 * dsti = (block_q5_1 *) cdsti;
+
+ float min = xi[0];
+ float max = xi[0];
+
+ for (int j = 1; j < QK5_1; ++j) {
+ const float v = xi[j];
+ min = v < min ? v : min;
+ max = v > max ? v : max;
+ }
+
+ const float d = (max - min) / 31;
+ const float id = d ? 1.0f/d : 0.0f;
+
+ dsti->dm.x = d;
+ dsti->dm.y = min;
+
+ uint32_t qh = 0;
+ for (int j = 0; j < QK5_1/2; ++j) {
+ const float x0 = (xi[0 + j] - min)*id;
+ const float x1 = (xi[QK5_1/2 + j] - min)*id;
+
+ const uint8_t xi0 = (uint8_t)(x0 + 0.5f);
+ const uint8_t xi1 = (uint8_t)(x1 + 0.5f);
+
+ dsti->qs[j] = (xi0 & 0xf) | ((xi1 & 0xf) << 4);
+ qh |= ((xi0 & 0x10u) >> 4) << (j + 0);
+ qh |= ((xi1 & 0x10u) >> 4) << (j + QK5_1/2);
+ }
+ memcpy(dsti->qh, &qh, sizeof(qh));
+}
+
+
+static __device__ __forceinline__ int best_index_int8(int n, const int8_t * val, float x) {
+ if (x <= val[0]) return 0;
+ if (x >= val[n-1]) return n-1;
+ int ml = 0, mu = n-1;
+ while (mu-ml > 1) {
+ int mav = (ml+mu)/2;
+ if (x < val[mav]) mu = mav; else ml = mav;
+ }
+ return x - val[mu-1] < val[mu] - x ? mu-1 : mu;
+}
+
+static __device__ void cpy_blck_f32_iq4_nl(const char * cxi, char * cdsti) {
+ const float * xi = (const float *) cxi;
+ block_iq4_nl * dsti = (block_iq4_nl *) cdsti;
+
+ float amax = 0.0f;
+ float vmax = 0.0f;
+
+ for (int j = 0; j < QK4_NL; ++j) {
+ const float v = xi[j];
+ if (amax < fabsf(v)) {
+ amax = fabsf(v);
+ vmax = v;
+ }
+ }
+
+ float d = vmax / kvalues_iq4nl[0];
+ const float id = d ? 1.0f/d : 0.0f;
+
+ float sumqx = 0, sumq2 = 0;
+ for (int j = 0; j < QK4_NL/2; ++j) {
+ const float x0 = xi[0 + j]*id;
+ const float x1 = xi[QK4_NL/2 + j]*id;
+ const uint8_t xi0 = best_index_int8(16, kvalues_iq4nl, x0);
+ const uint8_t xi1 = best_index_int8(16, kvalues_iq4nl, x1);
+ dsti->qs[j] = xi0 | (xi1 << 4);
+ const float v0 = kvalues_iq4nl[xi0];
+ const float v1 = kvalues_iq4nl[xi1];
+ const float w0 = xi[0 + j]*xi[0 + j];
+ const float w1 = xi[QK4_NL/2 + j]*xi[QK4_NL/2 + j];
+ sumqx += w0*v0*xi[j] + w1*v1*xi[QK4_NL/2 + j];
+ sumq2 += w0*v0*v0 + w1*v1*v1;
+ }
+
+ dsti->d = sumq2 > 0 ? sumqx/sumq2 : d;
+}
+
+template <cpy_kernel_t cpy_blck, int qk>
+static __global__ void cpy_f32_q(const char * cx, char * cdst, const int ne,
+ const int ne00, const int ne01, const int ne02, const int nb00, const int nb01, const int nb02,
+ const int nb03, const int ne10, const int ne11, const int ne12, const int nb10, const int nb11,
+ const int nb12, const int nb13) {
+ const int i = (blockDim.x*blockIdx.x + threadIdx.x)*qk;
+
+ if (i >= ne) {
+ return;
+ }
+
+ const int i03 = i/(ne00 * ne01 * ne02);
+ const int i02 = (i - i03*ne00*ne01*ne02 )/ (ne00*ne01);
+ const int i01 = (i - i03*ne00*ne01*ne02 - i02*ne01*ne00) / ne00;
+ const int i00 = i - i03*ne00*ne01*ne02 - i02*ne01*ne00 - i01*ne00;
+ const int x_offset = i00*nb00 + i01*nb01 + i02*nb02 + i03 * nb03;
+
+ const int i13 = i/(ne10 * ne11 * ne12);
+ const int i12 = (i - i13*ne10*ne11*ne12) / (ne10*ne11);
+ const int i11 = (i - i13*ne10*ne11*ne12 - i12*ne10*ne11) / ne10;
+ const int i10 = i - i13*ne10*ne11*ne12 - i12*ne10*ne11 - i11*ne10;
+ const int dst_offset = (i10/qk)*nb10 + i11*nb11 + i12*nb12 + i13*nb13;
+
+ cpy_blck(cx + x_offset, cdst + dst_offset);
+}
+
+static void ggml_cpy_f16_f32_cuda(
+ const char * cx, char * cdst, const int ne,
+ const int ne00, const int ne01, const int ne02, const int nb00, const int nb01, const int nb02,
+ const int nb03, const int ne10, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, const int nb13, cudaStream_t stream) {
+
+ const int num_blocks = (ne + CUDA_CPY_BLOCK_SIZE - 1) / CUDA_CPY_BLOCK_SIZE;
+ cpy_f32_f16<cpy_1_f16_f32><<<num_blocks, CUDA_CPY_BLOCK_SIZE, 0, stream>>>
+ (cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13);
+}
+
+static void ggml_cpy_f32_f32_cuda(
+ const char * cx, char * cdst, const int ne,
+ const int ne00, const int ne01, const int ne02, const int nb00, const int nb01, const int nb02,
+ const int nb03, const int ne10, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, const int nb13, cudaStream_t stream) {
+
+ const int num_blocks = (ne + CUDA_CPY_BLOCK_SIZE - 1) / CUDA_CPY_BLOCK_SIZE;
+ cpy_f32_f16<cpy_1_f32_f32><<<num_blocks, CUDA_CPY_BLOCK_SIZE, 0, stream>>>
+ (cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13);
+}
+
+static void ggml_cpy_f32_f16_cuda(
+ const char * cx, char * cdst, const int ne,
+ const int ne00, const int ne01, const int ne02, const int nb00, const int nb01, const int nb02,
+ const int nb03, const int ne10, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, const int nb13, cudaStream_t stream) {
+
+ const int num_blocks = (ne + CUDA_CPY_BLOCK_SIZE - 1) / CUDA_CPY_BLOCK_SIZE;
+ cpy_f32_f16<cpy_1_f32_f16><<<num_blocks, CUDA_CPY_BLOCK_SIZE, 0, stream>>>
+ (cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13);
+}
+
+static void ggml_cpy_f32_q8_0_cuda(
+ const char * cx, char * cdst, const int ne,
+ const int ne00, const int ne01, const int ne02, const int nb00, const int nb01, const int nb02,
+ const int nb03, const int ne10, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, const int nb13, cudaStream_t stream) {
+
+ GGML_ASSERT(ne % QK8_0 == 0);
+ const int num_blocks = ne / QK8_0;
+ cpy_f32_q<cpy_blck_f32_q8_0, QK8_0><<<num_blocks, 1, 0, stream>>>
+ (cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13);
+}
+
+static void ggml_cpy_f32_q4_0_cuda(
+ const char * cx, char * cdst, const int ne,
+ const int ne00, const int ne01, const int ne02, const int nb00, const int nb01, const int nb02,
+ const int nb03, const int ne10, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, const int nb13, cudaStream_t stream) {
+
+ GGML_ASSERT(ne % QK4_0 == 0);
+ const int num_blocks = ne / QK4_0;
+ cpy_f32_q<cpy_blck_f32_q4_0, QK4_0><<<num_blocks, 1, 0, stream>>>
+ (cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13);
+}
+
+static void ggml_cpy_f32_q4_1_cuda(
+ const char * cx, char * cdst, const int ne,
+ const int ne00, const int ne01, const int ne02, const int nb00, const int nb01, const int nb02,
+ const int nb03, const int ne10, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, const int nb13, cudaStream_t stream) {
+
+ GGML_ASSERT(ne % QK4_1 == 0);
+ const int num_blocks = ne / QK4_1;
+ cpy_f32_q<cpy_blck_f32_q4_1, QK4_1><<<num_blocks, 1, 0, stream>>>
+ (cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13);
+}
+
+static void ggml_cpy_f32_q5_0_cuda(
+ const char * cx, char * cdst, const int ne,
+ const int ne00, const int ne01, const int ne02, const int nb00, const int nb01, const int nb02,
+ const int nb03, const int ne10, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, const int nb13, cudaStream_t stream) {
+
+ GGML_ASSERT(ne % QK5_0 == 0);
+ const int num_blocks = ne / QK5_0;
+ cpy_f32_q<cpy_blck_f32_q5_0, QK5_0><<<num_blocks, 1, 0, stream>>>
+ (cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13);
+}
+
+static void ggml_cpy_f32_q5_1_cuda(
+ const char * cx, char * cdst, const int ne,
+ const int ne00, const int ne01, const int ne02, const int nb00, const int nb01, const int nb02,
+ const int nb03, const int ne10, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, const int nb13, cudaStream_t stream) {
+
+ GGML_ASSERT(ne % QK5_1 == 0);
+ const int num_blocks = ne / QK5_1;
+ cpy_f32_q<cpy_blck_f32_q5_1, QK5_1><<<num_blocks, 1, 0, stream>>>
+ (cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13);
+}
+
+static void ggml_cpy_f32_iq4_nl_cuda(
+ const char * cx, char * cdst, const int ne,
+ const int ne00, const int ne01, const int ne02, const int nb00, const int nb01, const int nb02,
+ const int nb03, const int ne10, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, const int nb13, cudaStream_t stream) {
+
+ GGML_ASSERT(ne % QK4_NL == 0);
+ const int num_blocks = ne / QK4_NL;
+ cpy_f32_q<cpy_blck_f32_iq4_nl, QK4_NL><<<num_blocks, 1, 0, stream>>>
+ (cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13);
+}
+
+static void ggml_cpy_f16_f16_cuda(
+ const char * cx, char * cdst, const int ne,
+ const int ne00, const int ne01, const int ne02, const int nb00, const int nb01, const int nb02,
+ const int nb03, const int ne10, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, const int nb13, cudaStream_t stream) {
+
+ const int num_blocks = (ne + CUDA_CPY_BLOCK_SIZE - 1) / CUDA_CPY_BLOCK_SIZE;
+ cpy_f32_f16<cpy_1_f16_f16><<<num_blocks, CUDA_CPY_BLOCK_SIZE, 0, stream>>>
+ (cx, cdst, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13);
+}
+
+void ggml_cuda_cpy(ggml_backend_cuda_context & ctx, const ggml_tensor * src0, ggml_tensor * src1) {
+ const int64_t ne = ggml_nelements(src0);
+ GGML_ASSERT(ne == ggml_nelements(src1));
+
+ GGML_ASSERT(ggml_nbytes(src0) <= INT_MAX);
+ GGML_ASSERT(ggml_nbytes(src1) <= INT_MAX);
+
+ const int64_t ne00 = src0->ne[0];
+ const int64_t ne01 = src0->ne[1];
+ const int64_t ne02 = src0->ne[2];
+
+ //GGML_ASSERT(src0->ne[3] == 1);
+
+ const int64_t nb00 = src0->nb[0];
+ const int64_t nb01 = src0->nb[1];
+ const int64_t nb02 = src0->nb[2];
+ const int64_t nb03 = src0->nb[3];
+
+ const int64_t ne10 = src1->ne[0];
+ const int64_t ne11 = src1->ne[1];
+ const int64_t ne12 = src1->ne[2];
+
+ //GGML_ASSERT(src1->ne[3] == 1);
+
+ const int64_t nb10 = src1->nb[0];
+ const int64_t nb11 = src1->nb[1];
+ const int64_t nb12 = src1->nb[2];
+ const int64_t nb13 = src1->nb[3];
+
+ cudaStream_t main_stream = ctx.stream();
+
+ char * src0_ddc = (char *) src0->data;
+ char * src1_ddc = (char *) src1->data;
+
+ if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32) {
+ ggml_cpy_f32_f32_cuda (src0_ddc, src1_ddc, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13, main_stream);
+ } else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F16) {
+ ggml_cpy_f32_f16_cuda (src0_ddc, src1_ddc, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13, main_stream);
+ } else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_Q8_0) {
+ ggml_cpy_f32_q8_0_cuda(src0_ddc, src1_ddc, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13, main_stream);
+ } else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_Q4_0) {
+ ggml_cpy_f32_q4_0_cuda(src0_ddc, src1_ddc, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13, main_stream);
+ } else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_Q4_1) {
+ ggml_cpy_f32_q4_1_cuda(src0_ddc, src1_ddc, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13, main_stream);
+ } else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_Q5_0) {
+ ggml_cpy_f32_q5_0_cuda(src0_ddc, src1_ddc, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13, main_stream);
+ } else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_IQ4_NL) {
+ ggml_cpy_f32_iq4_nl_cuda(src0_ddc, src1_ddc, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13, main_stream);
+ } else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_Q5_1) {
+ ggml_cpy_f32_q5_1_cuda(src0_ddc, src1_ddc, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13, main_stream);
+ } else if (src0->type == GGML_TYPE_F16 && src1->type == GGML_TYPE_F16) {
+ ggml_cpy_f16_f16_cuda (src0_ddc, src1_ddc, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13, main_stream);
+ } else if (src0->type == GGML_TYPE_F16 && src1->type == GGML_TYPE_F32) {
+ ggml_cpy_f16_f32_cuda (src0_ddc, src1_ddc, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13, main_stream);
+ } else {
+ fprintf(stderr, "%s: unsupported type combination (%s to %s)\n", __func__,
+ ggml_type_name(src0->type), ggml_type_name(src1->type));
+ GGML_ASSERT(false);
+ }
+}
+
+void ggml_cuda_dup(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+ const ggml_tensor * src0 = dst->src[0];
+ ggml_cuda_cpy(ctx, src0, dst);
+}
+
+void* ggml_cuda_cpy_fn(const ggml_tensor * src0, ggml_tensor * src1) {
+ if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32) {
+ return (void*) cpy_f32_f16<cpy_1_f32_f32>;
+ } else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F16) {
+ return (void*) cpy_f32_f16<cpy_1_f32_f16>;
+ } else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_Q8_0) {
+ return (void*) cpy_f32_q<cpy_blck_f32_q8_0, QK8_0>;
+ } else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_Q4_0) {
+ return (void*) cpy_f32_q<cpy_blck_f32_q4_0, QK4_0>;
+ } else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_Q4_1) {
+ return (void*) cpy_f32_q<cpy_blck_f32_q4_1, QK4_1>;
+ } else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_Q5_0) {
+ return (void*) cpy_f32_q<cpy_blck_f32_q5_0, QK5_0>;
+ } else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_IQ4_NL) {
+ return (void*) cpy_f32_q<cpy_blck_f32_iq4_nl, QK4_NL>;
+ } else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_Q5_1) {
+ return (void*) cpy_f32_q<cpy_blck_f32_q5_1, QK5_1>;
+ } else if (src0->type == GGML_TYPE_F16 && src1->type == GGML_TYPE_F16) {
+ return (void*) cpy_f32_f16<cpy_1_f32_f16>;
+ } else if (src0->type == GGML_TYPE_F16 && src1->type == GGML_TYPE_F32) {
+ return (void*) cpy_f32_f16<cpy_1_f16_f32>;
+ } else {
+ fprintf(stderr, "%s: unsupported type combination (%s to %s)\n", __func__,
+ ggml_type_name(src0->type), ggml_type_name(src1->type));
+ GGML_ASSERT(false);
+ }
+}
generated by cgit v1.2.3 (git 2.25.1) at 2025-08-15 15:19:50 +0000