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ggml : add ggml_scale_bias (#14417)
* ggml : add ggml_scale_bias * ggml_vec_mad1_f32 * add more simd * add CUDA * sycl * vulkan * cann (placeholder) * opencl * will this fix cpu? * fix cuda * suggestions from coderabbit * fix cann compile error * vDSP_vsmsa * rm __ARM_FEATURE_SVE * use memcpy for op params * make code looks more consistent * use scalar for __ARM_FEATURE_SVE * add x param to ggml_vec_mad1_f32
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@@ -4643,9 +4643,11 @@ static void ggml_compute_forward_scale_f32(
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GGML_ASSERT(ggml_is_contiguous(dst));
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GGML_ASSERT(ggml_are_same_shape(src0, dst));
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// scale factor
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float v;
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memcpy(&v, dst->op_params, sizeof(float));
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float s; // scale factor
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float b; // bias
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memcpy(&s, (float *) dst->op_params + 0, sizeof(float));
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memcpy(&b, (float *) dst->op_params + 1, sizeof(float));
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const int ith = params->ith;
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const int nth = params->nth;
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@@ -4664,12 +4666,22 @@ static void ggml_compute_forward_scale_f32(
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const size_t nb1 = dst->nb[1];
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for (int i1 = ir0; i1 < ir1; i1++) {
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if (dst->data != src0->data) {
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// src0 is same shape as dst => same indices
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memcpy((char *)dst->data + i1*nb1, (char *)src0->data + i1*nb01, nc * sizeof(float));
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if (b == 0.0f) {
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for (int i1 = ir0; i1 < ir1; i1++) {
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if (dst->data != src0->data) {
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// src0 is same shape as dst => same indices
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// TODO: add x parameter to ggml_vec_scale_f32 and remove this memcpy
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memcpy((char *)dst->data + i1*nb1, (char *)src0->data + i1*nb01, nc * sizeof(float));
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}
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ggml_vec_scale_f32(nc, (float *) ((char *) dst->data + i1*nb1), s);
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}
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} else {
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for (int i1 = ir0; i1 < ir1; i1++) {
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ggml_vec_mad1_f32(nc,
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(float *) ((char *) dst->data + i1*nb1),
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(float *) ((char *) src0->data + i1*nb1),
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s, b);
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}
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ggml_vec_scale_f32(nc, (float *) ((char *) dst->data + i1*nb1), v);
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}
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}
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