| 65 | } |
| 66 | |
| 67 | static struct ggml_tensor * get_random_tensor_f32( |
| 68 | struct ggml_context * ctx0, |
| 69 | int ndims, |
| 70 | int64_t ne[], |
| 71 | float fmin, |
| 72 | float fmax) { |
| 73 | struct ggml_tensor * result = ggml_new_tensor(ctx0, GGML_TYPE_F32, ndims, ne); |
| 74 | |
| 75 | switch (ndims) { |
| 76 | case 1: |
| 77 | for (int i0 = 0; i0 < ne[0]; i0++) { |
| 78 | ((float *)result->data)[i0] = frand()*(fmax - fmin) + fmin; |
| 79 | } |
| 80 | break; |
| 81 | case 2: |
| 82 | for (int i1 = 0; i1 < ne[1]; i1++) { |
| 83 | for (int i0 = 0; i0 < ne[0]; i0++) { |
| 84 | ((float *)result->data)[i1*ne[0] + i0] = frand()*(fmax - fmin) + fmin; |
| 85 | } |
| 86 | } |
| 87 | break; |
| 88 | case 3: |
| 89 | for (int i2 = 0; i2 < ne[2]; i2++) { |
| 90 | for (int i1 = 0; i1 < ne[1]; i1++) { |
| 91 | for (int i0 = 0; i0 < ne[0]; i0++) { |
| 92 | ((float *)result->data)[i2*ne[1]*ne[0] + i1*ne[0] + i0] = frand()*(fmax - fmin) + fmin; |
| 93 | } |
| 94 | } |
| 95 | } |
| 96 | break; |
| 97 | case 4: |
| 98 | for (int i3 = 0; i3 < ne[3]; i3++) { |
| 99 | for (int i2 = 0; i2 < ne[2]; i2++) { |
| 100 | for (int i1 = 0; i1 < ne[1]; i1++) { |
| 101 | for (int i0 = 0; i0 < ne[0]; i0++) { |
| 102 | ((float *)result->data)[i3*ne[2]*ne[1]*ne[0] + i2*ne[1]*ne[0] + i1*ne[0] + i0] = frand()*(fmax - fmin) + fmin; |
| 103 | } |
| 104 | } |
| 105 | } |
| 106 | } |
| 107 | break; |
| 108 | default: |
| 109 | assert(false); |
| 110 | } |
| 111 | |
| 112 | return result; |
| 113 | } |
| 114 | |
| 115 | static struct ggml_tensor * get_random_tensor_f16( |
| 116 | struct ggml_context * ctx0, |
no test coverage detected