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  1. tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc

          llvm::SmallVector<Type, 4> while_result_types;
          while_result_types.reserve(num_results);
          for (int64_t idx = 0; idx < num_results; ++idx) {
            auto ty = UpdateElementTypeTo(op.getType(idx), element_types[idx]);
            while_result_types.push_back(ty);
          }
    
          mhlo_op = rewriter.create<DstOpT>(loc, TypeRange(while_result_types),
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 20:00:43 UTC 2024
    - 291.8K bytes
    - Viewed (0)
  2. src/cmd/vendor/golang.org/x/arch/ppc64/ppc64asm/tables.go

    	LBZ:            "lbz",
    	LBZU:           "lbzu",
    	LBZUX:          "lbzux",
    	LBZX:           "lbzx",
    	LFD:            "lfd",
    	LFDU:           "lfdu",
    	LFDUX:          "lfdux",
    	LFDX:           "lfdx",
    	LFS:            "lfs",
    	LFSU:           "lfsu",
    	LFSUX:          "lfsux",
    	LFSX:           "lfsx",
    	LHA:            "lha",
    	LHAU:           "lhau",
    	LHAUX:          "lhaux",
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Tue Nov 22 17:16:14 UTC 2022
    - 334.7K bytes
    - Viewed (0)
  3. src/cmd/vendor/golang.org/x/arch/x86/x86asm/tables.go

    	/*1283*/ uint16(xArgM16and64),
    	/*1284*/ uint16(xMatch),
    	/*1285*/ uint16(xCondIs64), 1288, 1292,
    	/*1288*/ uint16(xSetOp), uint16(LIDT),
    	/*1290*/ uint16(xArgM16and32),
    	/*1291*/ uint16(xMatch),
    	/*1292*/ uint16(xSetOp), uint16(LIDT),
    	/*1294*/ uint16(xArgM16and64),
    	/*1295*/ uint16(xMatch),
    	/*1296*/ uint16(xCondDataSize), 1300, 1304, 1308,
    	/*1300*/ uint16(xSetOp), uint16(SMSW),
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon May 16 22:24:28 UTC 2022
    - 266.8K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir

      // CHECK-DAG: [[MUL:%.*]] = chlo.broadcast_multiply [[IOTA]], [[DELTA]] {broadcast_dimensions = array<i64>}
      // CHECK: chlo.broadcast_add [[MUL]], [[START]] {broadcast_dimensions = array<i64>}
      %3 = "tf.Range"(%arg0, %1, %arg1) {Tidx = "tfdtype$DT_FLOAT", device = "", name = "range"} : (tensor<f32>, tensor<f32>, tensor<f32>) -> tensor<5xf32>
      func.return %3 : tensor<5xf32>
    }
    
    // -----
    
    // CHECK-LABEL: func @range_dynamic
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon May 06 18:46:23 UTC 2024
    - 335.5K bytes
    - Viewed (0)
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