ggml : sync (mem align to header + conv_transpose_2d fixes)
ggml-ci
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dd0dc366da
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93497ac66b
2 changed files with 21 additions and 19 deletions
22
ggml.c
22
ggml.c
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@ -157,12 +157,6 @@ typedef void * thread_ret_t;
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//#define GGML_SOFT_MAX_ACCELERATE
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#endif
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#if UINTPTR_MAX == 0xFFFFFFFF
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#define GGML_MEM_ALIGN 4
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#else
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#define GGML_MEM_ALIGN 16
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#endif
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//
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// logging
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//
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@ -7098,11 +7092,13 @@ struct ggml_tensor * ggml_conv_transpose_2d_p0(
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};
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struct ggml_tensor* result = ggml_new_tensor(ctx, GGML_TYPE_F32, 4, ne);
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ggml_set_op_params_i32(result, 0, stride);
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result->op = GGML_OP_CONV_TRANSPOSE_2D;
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result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;
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result->src[0] = a;
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result->src[1] = b;
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result->src[2] = ggml_new_i32(ctx, stride);
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return result;
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}
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@ -13498,7 +13494,6 @@ static void ggml_compute_forward_conv_transpose_2d(
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const struct ggml_compute_params * params,
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const struct ggml_tensor * src0,
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const struct ggml_tensor * src1,
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const struct ggml_tensor * opt0,
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struct ggml_tensor * dst) {
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GGML_ASSERT(src0->type == GGML_TYPE_F16);
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GGML_ASSERT(src1->type == GGML_TYPE_F32);
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@ -13558,7 +13553,7 @@ static void ggml_compute_forward_conv_transpose_2d(
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return;
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}
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const int32_t stride = ((const int32_t*)(opt0->data))[0];
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const int32_t stride = ggml_get_op_params_i32(dst, 0);
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// total patches in dst
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const int np = ne2;
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@ -13571,7 +13566,7 @@ static void ggml_compute_forward_conv_transpose_2d(
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const int ip1 = MIN(ip0 + dp, np);
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ggml_fp16_t * const wdata = (ggml_fp16_t *) params->wdata + 0;
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ggml_fp16_t * const wdata_src = (ggml_fp16_t *) params->wdata + nk;
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ggml_fp16_t * const wdata_src = wdata + nk;
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for (int i2 = ip0; i2 < ip1; i2++) { // Cout
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float * dst_data = (float *)((char *) dst->data + i2*nb2);
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@ -13583,9 +13578,8 @@ static void ggml_compute_forward_conv_transpose_2d(
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for (int i00 = 0; i00 < ne00; i00++) {
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float v = 0;
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ggml_vec_dot_f16(ne03, &v,
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(ggml_fp16_t *) wdata_src + i1n,
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(ggml_fp16_t *) wdata_kernel + i01*ne00*ne03 + i00*ne03);
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wdata_src + i1n,
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wdata_kernel + i01*ne00*ne03 + i00*ne03);
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dst_data[(i11*stride + i01)*ne0 + i10*stride + i00] += v;
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}
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}
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@ -15732,7 +15726,7 @@ static void ggml_compute_forward(struct ggml_compute_params * params, struct ggm
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} break;
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case GGML_OP_CONV_TRANSPOSE_2D:
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{
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ggml_compute_forward_conv_transpose_2d(params, tensor->src[0], tensor->src[1], tensor->src[2], tensor);
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ggml_compute_forward_conv_transpose_2d(params, tensor->src[0], tensor->src[1], tensor);
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} break;
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case GGML_OP_POOL_1D:
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{
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18
ggml.h
18
ggml.h
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@ -130,13 +130,16 @@
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// The data of the tensor is accessed via the "data" pointer. For example:
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//
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// {
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// struct ggml_tensor * a = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, 2, 3);
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// const int nx = 2;
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// const int ny = 3;
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//
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// // a[2, 1] = 1.0f;
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// *(float *) ((char *) a->data + 2*a->nb[1] + 1*a->nb[0]) = 1.0f;
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// struct ggml_tensor * a = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, nx, ny);
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//
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// // a[0, 2] = 2.0f;
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// *(float *) ((char *) a->data + 0*a->nb[1] + 2*a->nb[0]) = 2.0f;
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// for (int y = 0; y < ny; y++) {
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// for (int x = 0; x < nx; x++) {
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// *(float *) ((char *) a->data + y*a->nb[1] + x*a->nb[0]) = x + y;
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// }
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// }
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//
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// ...
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// }
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@ -211,6 +214,11 @@
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#define GGML_MAX_OP_PARAMS 32
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#define GGML_DEFAULT_N_THREADS 4
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#if UINTPTR_MAX == 0xFFFFFFFF
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#define GGML_MEM_ALIGN 4
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#else
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#define GGML_MEM_ALIGN 16
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#endif
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#define GGML_EXIT_SUCCESS 0
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#define GGML_EXIT_ABORTED 1
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