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https://github.com/ggml-org/llama.cpp.git
synced 2025-11-09 10:17:06 +00:00
ggml-zdnn: clean up matmul selection
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
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@@ -129,11 +129,7 @@ static void ggml_zdnn_mul_mat_op(ggml_backend_zdnn_context * ctx, const ggml_ten
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const int64_t output_rows = ne1;
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const int64_t output_cols = ne0;
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const int64_t weights_dim[GGML_MAX_DIMS] = { 1, 1, weights_cols, weights_rows };
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const int64_t inputs_dim[GGML_MAX_DIMS] = { 1, 1, inputs_cols, inputs_rows };
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const int64_t bias_dim [GGML_MAX_DIMS] = { 1, 1, 1, output_cols };
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const int64_t output_dim[GGML_MAX_DIMS] = { 1, 1, output_cols, output_rows };
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ggml_zdnn_create_tensor(ptd_bias, td_bias, zt_bias, output, bias_dim, ZDNN_1D);
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void * bias_data = (void *)calloc(ne0, ggml_element_size(output));
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@@ -277,13 +273,12 @@ static bool ggml_zdnn_supports_op(const ggml_backend_zdnn_device_context * ctx_d
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const int64_t ne0 = op->ne[0];
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const int64_t ne1 = op->ne[1];
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const int64_t max_batch = zdnn_get_nnpa_max_dim_idx_size();
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const int64_t max_batch = ctx_dev->max_size;
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return ggml_is_contiguous(src0) &&
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ggml_is_contiguous(src1) &&
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src1->type == GGML_TYPE_F32 &&
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(ne0 <= max_batch && ne1 <= max_batch && ne10 <= max_batch) &&
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(src0->type == GGML_TYPE_F32 || ggml_get_type_traits(src0->type)->to_float != NULL);
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src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 &&
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(ne0 <= max_batch && ne1 <= max_batch && ne10 <= max_batch);
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} break;
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default:
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