diff --git a/ggml.c b/ggml.c index b449ea42f..8af60f6fc 100644 --- a/ggml.c +++ b/ggml.c @@ -4747,7 +4747,6 @@ struct ggml_tensor * ggml_view_tensor( struct ggml_context * ctx, const struct ggml_tensor * src) { struct ggml_tensor * result = ggml_new_tensor_impl(ctx, src->type, src->n_dims, src->ne, src->data); - ggml_format_name(result, "%s (view)", src->name); result->nb[0] = src->nb[0]; @@ -5910,6 +5909,11 @@ struct ggml_tensor * ggml_cpy_impl( // make a view of the destination struct ggml_tensor * result = ggml_view_tensor(ctx, b); + if (strlen(a->name) > 0) { + ggml_format_name(result, "%s (copy of %s)", a->name, b->name); + } else { + ggml_format_name(result, "%s (copy)", b->name); + } result->op = GGML_OP_CPY; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; @@ -5946,6 +5950,7 @@ struct ggml_tensor * ggml_cont_impl( } struct ggml_tensor * result = inplace ? ggml_view_tensor(ctx, a) : ggml_dup_tensor(ctx, a); + ggml_format_name(result, "%s (cont)", a->name); result->op = GGML_OP_CONT; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; @@ -5989,6 +5994,7 @@ struct ggml_tensor * ggml_reshape( } struct ggml_tensor * result = ggml_new_tensor_impl(ctx, a->type, b->n_dims, b->ne, a->data); + ggml_format_name(result, "%s (reshaped)", a->name); result->op = GGML_OP_RESHAPE; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; @@ -6013,6 +6019,7 @@ struct ggml_tensor * ggml_reshape_1d( const int64_t ne[1] = { ne0 }; struct ggml_tensor * result = ggml_new_tensor_impl(ctx, a->type, 1, ne, a->data); + ggml_format_name(result, "%s (reshaped)", a->name); result->op = GGML_OP_RESHAPE; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; @@ -6038,6 +6045,7 @@ struct ggml_tensor * ggml_reshape_2d( const int64_t ne[2] = { ne0, ne1 }; struct ggml_tensor * result = ggml_new_tensor_impl(ctx, a->type, 2, ne, a->data); + ggml_format_name(result, "%s (reshaped)", a->name); result->op = GGML_OP_RESHAPE; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; @@ -6064,6 +6072,7 @@ struct ggml_tensor * ggml_reshape_3d( const int64_t ne[3] = { ne0, ne1, ne2 }; struct ggml_tensor * result = ggml_new_tensor_impl(ctx, a->type, 3, ne, a->data); + ggml_format_name(result, "%s (reshaped)", a->name); result->op = GGML_OP_RESHAPE; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; @@ -6092,6 +6101,7 @@ struct ggml_tensor * ggml_reshape_4d( const int64_t ne[4] = { ne0, ne1, ne2, ne3 }; struct ggml_tensor * result = ggml_new_tensor_impl(ctx, a->type, 4, ne, a->data); + ggml_format_name(result, "%s (reshaped)", a->name); result->op = GGML_OP_RESHAPE; result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL; @@ -6116,6 +6126,7 @@ struct ggml_tensor * ggml_view_1d( } struct ggml_tensor * result = ggml_new_tensor_impl(ctx, a->type, 1, &ne0, (char *) a->data + offset); + ggml_format_name(result, "%s (view)", a->name); ggml_scratch_save(ctx); @@ -6153,6 +6164,7 @@ struct ggml_tensor * ggml_view_2d( const int64_t ne[GGML_MAX_DIMS] = { ne0, ne1, 1, 1 }; struct ggml_tensor * result = ggml_new_tensor_impl(ctx, a->type, 2, ne, (char *) a->data + offset); + ggml_format_name(result, "%s (view)", a->name); ggml_scratch_save(ctx); @@ -6196,6 +6208,7 @@ struct ggml_tensor * ggml_view_3d( const int64_t ne[GGML_MAX_DIMS] = { ne0, ne1, ne2, 1 }; struct ggml_tensor * result = ggml_new_tensor_impl(ctx, a->type, 3, ne, (char *) a->data + offset); + ggml_format_name(result, "%s (view)", a->name); ggml_scratch_save(ctx); @@ -6241,6 +6254,7 @@ struct ggml_tensor * ggml_view_4d( const int64_t ne[GGML_MAX_DIMS] = { ne0, ne1, ne2, ne3 }; struct ggml_tensor * result = ggml_new_tensor_impl(ctx, a->type, 4, ne, (char *) a->data + offset); + ggml_format_name(result, "%s (view)", a->name); ggml_scratch_save(ctx); @@ -6291,6 +6305,7 @@ struct ggml_tensor * ggml_permute( } struct ggml_tensor * result = ggml_view_tensor(ctx, a); + ggml_format_name(result, "%s (permuted)", a->name); int ne[GGML_MAX_DIMS]; int nb[GGML_MAX_DIMS]; @@ -6350,6 +6365,7 @@ struct ggml_tensor * ggml_transpose( } struct ggml_tensor * result = ggml_view_tensor(ctx, a); + ggml_format_name(result, "%s (transposed)", a->name); result->ne[0] = a->ne[1]; result->ne[1] = a->ne[0];