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Results 1 - 6 of 6 for op4 (0.03 sec)

  1. tensorflow/compiler/mlir/lite/experimental/tac/runtime_metadata.fbs

    // op3 = .... {tac.device = "GPU"}
    // op4 = .... {tac.device = "CPU"}
    //
    // We will run a separate cost estimation for each op with each different
    // hardwares.
    //
    // ======== IRs after cost-estimation ========
    // op1 = .... {tac.device = "CPU"} {"CPU": 10, "GPU": -1.0}
    // op2 = .... {tac.device = "GPU"} {"CPU": 20, "GPU": 5.0}
    // op3 = .... {tac.device = "GPU"} {"CPU": 30, "GPU": 10.0}
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jul 21 01:22:53 UTC 2021
    - 2.5K bytes
    - Viewed (0)
  2. platforms/core-runtime/logging/src/test/groovy/org/gradle/internal/logging/console/ProgressOperationsTest.groovy

            ops.start("Resolving", null, new OperationIdentifier(2), new OperationIdentifier(1))
            def op3 = ops.progress("Download", new OperationIdentifier(2))
            def op4 = ops.complete(new OperationIdentifier(2))
    
            then:
            op3 == op4
    
            when:
            ops.progress("foo", new OperationIdentifier(2))
    
            then:
            thrown(IllegalStateException)
        }
    
    Registered: Wed Jun 12 18:38:38 UTC 2024
    - Last Modified: Fri Sep 22 09:05:18 UTC 2023
    - 3.7K bytes
    - Viewed (0)
  3. pkg/volume/util/nestedpendingoperations/nestedpendingoperations_test.go

    	// op1(v1, n1) ends with success
    	// op3(v1, n2) starts (continuously retried on exponential backoff error)
    	// op3(v1, n2) ends with success
    	// op4(v1, n2) starts
    	// op4(v1, n2) ends with success
    
    	const (
    		mainVolumeName = "main-volume"
    		opZVolumeName  = "other-volume"
    		node1          = "node1"
    		node2          = "node2"
    
    Registered: Sat Jun 15 01:39:40 UTC 2024
    - Last Modified: Fri Aug 26 01:29:17 UTC 2022
    - 36.1K bytes
    - Viewed (0)
  4. src/cmd/compile/internal/ssa/_gen/generic.rules

    	=> (Store {t1} op1 d1 (Store {t2} op2 d2 (Store {t3} op3 d3 mem)))
    (Store {t1} op1:(OffPtr [o1] p1) d1
    	m2:(Store {t2} op2:(OffPtr [o2] p2) d2
    		m3:(Store {t3} op3:(OffPtr [o3] p3) d3
    			m4:(Store {t4} op4:(OffPtr [0] p4) d4
    				m5:(Move [n] p5 _ mem)))))
    	&& m2.Uses == 1 && m3.Uses == 1 && m4.Uses == 1 && m5.Uses == 1
    	&& o3 == t4.Size()
    	&& o2-o3 == t3.Size()
    	&& o1-o2 == t2.Size()
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Thu May 16 22:21:05 UTC 2024
    - 135.3K bytes
    - Viewed (0)
  5. src/cmd/compile/internal/ssa/rewritegeneric.go

    		if mem_2_2.Op != OpStore {
    			break
    		}
    		t4 := auxToType(mem_2_2.Aux)
    		d3 := mem_2_2.Args[1]
    		op4 := mem_2_2.Args[0]
    		if op4.Op != OpOffPtr {
    			break
    		}
    		tt4 := op4.Type
    		if auxIntToInt64(op4.AuxInt) != 0 {
    			break
    		}
    		p4 := op4.Args[0]
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon Apr 22 18:24:47 UTC 2024
    - 812.2K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/lite/quantization/lite/quantize_model_test.cc

      EXPECT_THAT(subgraph->outputs, SizeIs(1));
    
      const auto& op1 = subgraph->operators[1].get();
      const auto& op2 = subgraph->operators[2].get();
      const auto& op3 = subgraph->operators[3].get();
      const auto& op4 = subgraph->operators[4].get();
    
      ASSERT_THAT(GetBuiltinCode(model_.operator_codes[op1->opcode_index].get()),
                  Eq(BuiltinOperator_QUANTIZE));
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 12 23:15:24 UTC 2024
    - 73.9K bytes
    - Viewed (0)
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