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tensorflow/compiler/mlir/lite/transforms/optimize_patterns.td
(BinaryOp (TFL_ReshapeOp:$lhs $input, (Arith_ConstantOp:$shape $s)), $rhs, $act_fn), (BinaryOp $input, $rhs, $act_fn), [(AnyStaticShapeTensor $input), (AnyStaticShapeTensor $rhs), (IsRankLessThanEqualTo $input, $lhs), (IsRankLessThanEqualTo $lhs, $rhs), (IsReducedTailOfShape $lhs, $input), (HasOneUseOrUsedByOnlyBinaryOps $lhs),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 66.4K bytes - Viewed (0) -
src/go/printer/testdata/parser.go
// RecvStmt with assignment if len(lhs) > 2 { p.errorExpected(lhs[0].Pos(), "1 or 2 expressions") // continue with first two expressions lhs = lhs[0:2] } p.next() rhs = p.parseRhs() } else { // rhs must be single receive operation if len(lhs) > 1 { p.errorExpected(lhs[0].Pos(), "1 expression") // continue with first expression
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Jul 20 20:19:51 UTC 2023 - 50.5K bytes - Viewed (0) -
src/cmd/compile/internal/syntax/parser.go
switch p.tok { case _AssignOp: // lhs op= rhs op := p.op p.next() return p.newAssignStmt(pos, op, lhs, p.expr()) case _IncOp: // lhs++ or lhs-- op := p.op p.next() return p.newAssignStmt(pos, op, lhs, nil) case _Arrow: // lhs <- rhs s := new(SendStmt) s.pos = pos p.next() s.Chan = lhs s.Value = p.expr() return s
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 30 19:19:55 UTC 2024 - 62.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/lower_tf.mlir
// CHECK: %[[CST:.*]] = "tf.Const"() <{value = dense<-2.000000e+00> : tensor<f32>}> // CHECK: %[[LHS2:.*]] = "tf.Mul"(%[[ARG0]], %[[ARG0]]) // CHECK: %[[LHS3:.*]] = "tf.Mul"(%[[LHS2]], %[[ARG0]]) // CHECK: %[[DIV:.*]] = "tf.Div"(%[[ARG1]], %[[CST]]) // CHECK: %[[RET:.*]] = "tf.Mul"(%[[LHS3]], %[[DIV]]) %0 = "tf.RsqrtGrad"(%arg0, %arg1) : (tensor<2xf32>, tensor<2xf32>) -> tensor<2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 92K bytes - Viewed (0) -
src/go/parser/parser.go
// RecvStmt with assignment if len(lhs) > 2 { p.errorExpected(lhs[0].Pos(), "1 or 2 expressions") // continue with first two expressions lhs = lhs[0:2] } pos := p.pos p.next() rhs := p.parseRhs() comm = &ast.AssignStmt{Lhs: lhs, TokPos: pos, Tok: tok, Rhs: []ast.Expr{rhs}} } else { // lhs must be single receive operation if len(lhs) > 1 {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Dec 08 20:07:50 UTC 2023 - 72.2K bytes - Viewed (0) -
src/go/types/expr.go
ensures that a client sees the actual (run-time) type an untyped value would have. It also permits type-checking of lhs shift operands "as if the shift were not present": when updateExprType visits an untyped lhs shift operand and assigns it it's final type, that type must be an integer type, and a constant lhs must be representable as an integer. When an expression gets its final type, either on the way out from rawExpr,
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 29 02:09:54 UTC 2024 - 49.7K bytes - Viewed (0) -
src/cmd/compile/internal/types2/expr.go
ensures that a client sees the actual (run-time) type an untyped value would have. It also permits type-checking of lhs shift operands "as if the shift were not present": when updateExprType visits an untyped lhs shift operand and assigns it it's final type, that type must be an integer type, and a constant lhs must be representable as an integer. When an expression gets its final type, either on the way out from rawExpr,
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 29 02:09:54 UTC 2024 - 51.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/python/tfr_gen.py
self._emit_with_loc( '\n{} = {}{} {}, {} : {}'.format(ret, code, suffix, lhs, rhs, lhs_ty), op) return ret, lhs_ty def visit_AugAssign(self, node): lhs, lhs_ty = self.visit(node.target) rhs, rhs_ty = self.visit(node.value) ret, ret_ty = self._emit_binary_op(node.op, lhs, lhs_ty, rhs, rhs_ty) self.symbol_table.insert_symbol(node.target.id, ret, ret_ty)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 27 15:27:03 UTC 2022 - 55.8K bytes - Viewed (0) -
analysis/analysis-api-fir/src/org/jetbrains/kotlin/analysis/api/fir/components/KaFirResolver.kt
* find the containing binary expression and resolve that instead. * * However, if, say, `+=` resolves to `plusAssign`, then the LHS is self-contained. In this case we do not return the containing binary * expression so that the FIR element corresponding to the LHS is used directly. */
Registered: Wed Jun 12 09:53:16 UTC 2024 - Last Modified: Tue Jun 11 15:45:42 UTC 2024 - 73K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/compose_uniform_quantized_type_pass.cc
op.getLoc(), /*resultType0=*/ mlir::cast<TensorType>(op.getResult().getType()) .clone(output_uniform_quantized_type), /*lhs=*/op.getLhs(), /*rhs=*/op.getRhs(), /*dot_dimension_numbers=*/op.getDotDimensionNumbers(), /*precision_config=*/op.getPrecisionConfigAttr());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 64.6K bytes - Viewed (0)