int i;
int ncopies;
bool single_defuse_cycle = false;
- int j;
tree ops[3];
enum vect_def_type dts[3];
bool nested_cycle = false, found_nested_cycle_def = false;
vec_loop_masks *masks = &LOOP_VINFO_MASKS (loop_vinfo);
bool mask_by_cond_expr = use_mask_by_cond_expr_p (code, cond_fn, vectype_in);
- if (!vec_stmt) /* transformation not required. */
+ /* transformation not required. */
+ gcc_assert (!vec_stmt);
+
+ vect_model_reduction_cost (stmt_info, reduc_fn, ncopies, cost_vec);
+ if (loop_vinfo && LOOP_VINFO_CAN_FULLY_MASK_P (loop_vinfo))
{
- vect_model_reduction_cost (stmt_info, reduc_fn, ncopies, cost_vec);
- if (loop_vinfo && LOOP_VINFO_CAN_FULLY_MASK_P (loop_vinfo))
+ if (reduction_type != FOLD_LEFT_REDUCTION
+ && !mask_by_cond_expr
+ && (cond_fn == IFN_LAST
+ || !direct_internal_fn_supported_p (cond_fn, vectype_in,
+ OPTIMIZE_FOR_SPEED)))
{
- if (reduction_type != FOLD_LEFT_REDUCTION
- && !mask_by_cond_expr
- && (cond_fn == IFN_LAST
- || !direct_internal_fn_supported_p (cond_fn, vectype_in,
- OPTIMIZE_FOR_SPEED)))
- {
- if (dump_enabled_p ())
- dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
- "can't use a fully-masked loop because no"
- " conditional operation is available.\n");
- LOOP_VINFO_CAN_FULLY_MASK_P (loop_vinfo) = false;
- }
- else if (reduc_index == -1)
- {
- if (dump_enabled_p ())
- dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
- "can't use a fully-masked loop for chained"
- " reductions.\n");
- LOOP_VINFO_CAN_FULLY_MASK_P (loop_vinfo) = false;
- }
- else
- vect_record_loop_mask (loop_vinfo, masks, ncopies * vec_num,
- vectype_in);
+ if (dump_enabled_p ())
+ dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
+ "can't use a fully-masked loop because no"
+ " conditional operation is available.\n");
+ LOOP_VINFO_CAN_FULLY_MASK_P (loop_vinfo) = false;
}
- if (dump_enabled_p ()
- && reduction_type == FOLD_LEFT_REDUCTION)
- dump_printf_loc (MSG_NOTE, vect_location,
- "using an in-order (fold-left) reduction.\n");
- STMT_VINFO_TYPE (stmt_info) = reduc_vec_info_type;
- return true;
+ else if (reduc_index == -1)
+ {
+ if (dump_enabled_p ())
+ dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
+ "can't use a fully-masked loop for chained"
+ " reductions.\n");
+ LOOP_VINFO_CAN_FULLY_MASK_P (loop_vinfo) = false;
+ }
+ else
+ vect_record_loop_mask (loop_vinfo, masks, ncopies * vec_num,
+ vectype_in);
+ }
+ if (dump_enabled_p ()
+ && reduction_type == FOLD_LEFT_REDUCTION)
+ dump_printf_loc (MSG_NOTE, vect_location,
+ "using an in-order (fold-left) reduction.\n");
+ STMT_VINFO_TYPE (stmt_info) = reduc_vec_info_type;
+ return true;
+}
+
+/* Transform the definition stmt STMT_INFO of a reduction PHI backedge
+ value. */
+
+bool
+vect_transform_reduction (stmt_vec_info stmt_info, gimple_stmt_iterator *gsi,
+ stmt_vec_info *vec_stmt, slp_tree slp_node)
+{
+ tree vectype_out = STMT_VINFO_VECTYPE (stmt_info);
+ tree vectype_in = NULL_TREE;
+ loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
+ class loop *loop = LOOP_VINFO_LOOP (loop_vinfo);
+ enum tree_code code;
+ int op_type;
+ bool is_simple_use;
+ int i;
+ int ncopies;
+ bool single_defuse_cycle = false;
+ int j;
+ tree ops[3];
+ bool nested_cycle = false;
+ int vec_num;
+
+ if (nested_in_vect_loop_p (loop, stmt_info))
+ {
+ loop = loop->inner;
+ nested_cycle = true;
}
+ gassign *stmt = as_a <gassign *> (stmt_info->stmt);
+
+ /* Flatten RHS. */
+ switch (get_gimple_rhs_class (gimple_assign_rhs_code (stmt)))
+ {
+ case GIMPLE_BINARY_RHS:
+ code = gimple_assign_rhs_code (stmt);
+ op_type = TREE_CODE_LENGTH (code);
+ gcc_assert (op_type == binary_op);
+ ops[0] = gimple_assign_rhs1 (stmt);
+ ops[1] = gimple_assign_rhs2 (stmt);
+ break;
+
+ case GIMPLE_TERNARY_RHS:
+ code = gimple_assign_rhs_code (stmt);
+ op_type = TREE_CODE_LENGTH (code);
+ gcc_assert (op_type == ternary_op);
+ ops[0] = gimple_assign_rhs1 (stmt);
+ ops[1] = gimple_assign_rhs2 (stmt);
+ ops[2] = gimple_assign_rhs3 (stmt);
+ break;
+
+ case GIMPLE_UNARY_RHS:
+ return false;
+
+ default:
+ gcc_unreachable ();
+ }
+
+ /* All uses but the last are expected to be defined in the loop.
+ The last use is the reduction variable. In case of nested cycle this
+ assumption is not true: we use reduc_index to record the index of the
+ reduction variable. */
+ stmt_vec_info reduc_def_info
+ = STMT_VINFO_REDUC_DEF (vect_orig_stmt (stmt_info));
+ gcc_assert (reduc_def_info);
+ gphi *reduc_def_phi = as_a <gphi *> (reduc_def_info->stmt);
+ tree reduc_def = PHI_RESULT (reduc_def_phi);
+ int reduc_index = -1;
+ for (i = 0; i < op_type; i++)
+ {
+ /* The condition of COND_EXPR is checked in vectorizable_condition(). */
+ if (i == 0 && code == COND_EXPR)
+ continue;
+
+ stmt_vec_info def_stmt_info;
+ enum vect_def_type dt;
+ tree tem;
+ is_simple_use = vect_is_simple_use (ops[i], loop_vinfo, &dt, &tem,
+ &def_stmt_info);
+ gcc_assert (is_simple_use);
+ if (dt == vect_reduction_def
+ && ops[i] == reduc_def)
+ {
+ reduc_index = i;
+ continue;
+ }
+ else if (tem)
+ {
+ /* To properly compute ncopies we are interested in the widest
+ input type in case we're looking at a widening accumulation. */
+ if (!vectype_in
+ || (GET_MODE_SIZE (SCALAR_TYPE_MODE (TREE_TYPE (vectype_in)))
+ < GET_MODE_SIZE (SCALAR_TYPE_MODE (TREE_TYPE (tem)))))
+ vectype_in = tem;
+ }
+
+ if (dt == vect_nested_cycle
+ && ops[i] == reduc_def)
+ {
+ reduc_index = i;
+ }
+ }
+
+ if (!vectype_in)
+ vectype_in = vectype_out;
+
+ if (STMT_VINFO_VEC_REDUCTION_TYPE (stmt_info) == INTEGER_INDUC_COND_REDUCTION
+ && dump_enabled_p ())
+ dump_printf_loc (MSG_NOTE, vect_location,
+ "condition expression based on "
+ "integer induction.\n");
+
+ if (slp_node)
+ ncopies = 1;
+ else
+ ncopies = vect_get_num_copies (loop_vinfo, vectype_in);
+
+ vect_reduction_type reduction_type
+ = STMT_VINFO_VEC_REDUCTION_TYPE (stmt_info);
+
+ /* In case of widenning multiplication by a constant, we update the type
+ of the constant to be the type of the other operand. We check that the
+ constant fits the type in the pattern recognition pass. */
+ if (code == DOT_PROD_EXPR
+ && !types_compatible_p (TREE_TYPE (ops[0]), TREE_TYPE (ops[1])))
+ {
+ gcc_unreachable ();
+ /* No testcase for this. PR49478. */
+ if (TREE_CODE (ops[0]) == INTEGER_CST)
+ ops[0] = fold_convert (TREE_TYPE (ops[1]), ops[0]);
+ else if (TREE_CODE (ops[1]) == INTEGER_CST)
+ ops[1] = fold_convert (TREE_TYPE (ops[0]), ops[1]);
+ }
+
+ /* In case the vectorization factor (VF) is bigger than the number
+ of elements that we can fit in a vectype (nunits), we have to generate
+ more than one vector stmt - i.e - we need to "unroll" the
+ vector stmt by a factor VF/nunits. For more details see documentation
+ in vectorizable_operation. */
+
+ /* If the reduction is used in an outer loop we need to generate
+ VF intermediate results, like so (e.g. for ncopies=2):
+ r0 = phi (init, r0)
+ r1 = phi (init, r1)
+ r0 = x0 + r0;
+ r1 = x1 + r1;
+ (i.e. we generate VF results in 2 registers).
+ In this case we have a separate def-use cycle for each copy, and therefore
+ for each copy we get the vector def for the reduction variable from the
+ respective phi node created for this copy.
+
+ Otherwise (the reduction is unused in the loop nest), we can combine
+ together intermediate results, like so (e.g. for ncopies=2):
+ r = phi (init, r)
+ r = x0 + r;
+ r = x1 + r;
+ (i.e. we generate VF/2 results in a single register).
+ In this case for each copy we get the vector def for the reduction variable
+ from the vectorized reduction operation generated in the previous iteration.
+
+ This only works when we see both the reduction PHI and its only consumer
+ in vectorizable_reduction and there are no intermediate stmts
+ participating. */
+ stmt_vec_info use_stmt_info;
+ tree reduc_phi_result = gimple_phi_result (reduc_def_phi);
+ if (ncopies > 1
+ && (STMT_VINFO_RELEVANT (stmt_info) <= vect_used_only_live)
+ && (use_stmt_info = loop_vinfo->lookup_single_use (reduc_phi_result))
+ && (!STMT_VINFO_IN_PATTERN_P (use_stmt_info)
+ || !STMT_VINFO_PATTERN_DEF_SEQ (use_stmt_info))
+ && vect_stmt_to_vectorize (use_stmt_info) == stmt_info)
+ single_defuse_cycle = true;
+
+ if (slp_node)
+ vec_num = SLP_TREE_NUMBER_OF_VEC_STMTS (slp_node);
+ else
+ vec_num = 1;
+
+ internal_fn cond_fn = get_conditional_internal_fn (code);
+ vec_loop_masks *masks = &LOOP_VINFO_MASKS (loop_vinfo);
+ bool mask_by_cond_expr = use_mask_by_cond_expr_p (code, cond_fn, vectype_in);
/* Transform. */
stmt_vec_info new_stmt_info = NULL;
bool masked_loop_p = LOOP_VINFO_FULLY_MASKED_P (loop_vinfo);
if (reduction_type == FOLD_LEFT_REDUCTION)
- return vectorize_fold_left_reduction
- (stmt_info, gsi, vec_stmt, slp_node, reduc_def_phi, code,
- reduc_fn, ops, vectype_in, reduc_index, masks);
+ {
+ internal_fn reduc_fn = STMT_VINFO_REDUC_FN (stmt_info);
+ return vectorize_fold_left_reduction
+ (stmt_info, gsi, vec_stmt, slp_node, reduc_def_phi, code,
+ reduc_fn, ops, vectype_in, reduc_index, masks);
+ }
if (reduction_type == EXTRACT_LAST_REDUCTION)
{
}
/* Create the destination vector */
+ tree scalar_dest = gimple_assign_lhs (stmt);
tree vec_dest = vect_create_destination_var (scalar_dest, vectype_out);
prev_stmt_info = NULL;
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