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Results 1 - 6 of 6 for tconv (0.07 sec)

  1. tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir

    // CHECK:           %[[CONV:.*]] = "tf.Conv2D"(%[[SLICED_ARG0]], %[[ARG1]])
    // CHECK-SAME:      explicit_paddings = [0, 0, 4, 0, 0, 2, 0, 0]
    // CHECK-SAME:      (tensor<128x5x4x64xf32>, tensor<3x2x64x4xf32>) -> tensor<128x4x3x4xf32>
    // CHECK:           return %[[CONV]] : tensor<128x4x3x4xf32>
    // CHECK:         }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
    - 340.2K bytes
    - Viewed (0)
  2. src/cmd/compile/internal/ssagen/ssa.go

    				}
    				if ft.Size() == 8 {
    					return s.float64ToUint32(n, v, ft, tt)
    				}
    			}
    		}
    
    		if !ok {
    			s.Fatalf("weird float conversion %v -> %v", ft, tt)
    		}
    		op1, op2, it := conv.op1, conv.op2, conv.intermediateType
    
    		if op1 != ssa.OpInvalid && op2 != ssa.OpInvalid {
    			// normal case, not tripping over unsigned 64
    			if op1 == ssa.OpCopy {
    				if op2 == ssa.OpCopy {
    					return v
    				}
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon Jun 10 19:44:43 UTC 2024
    - 284.9K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc

    };
    
    using ConvertConv2DDynamic =
        ConvertConvDynamic<TF::Conv2DOp, /*num_spatial_dims=*/2>;
    
    // Converts the TensorFlow conv op in template to the generic HLO conv op by
    // converting TensorFlow op attributes to HLO op attributes.
    //
    // Sample result for Conv2D:
    //
    //   %conv = "mhlo.convolution"(%input, %filter) {
    //     strides = [1, 2],
    //     paddings = [[1, 0], [1, 1]],
    //     ...
    //   }
    //
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 20:00:43 UTC 2024
    - 291.8K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir

      // CHECK-DAG: %[[ONE:.*]] = mhlo.constant dense<1.000000e+00> : tensor<f32>
      // CHECK: %[[CONV:.*]] = mhlo.convert %arg0 : (tensor<3xi32>) -> tensor<3xi64>
      // CHECK: %[[F32:.*]] = "mhlo.rng"(%[[ZERO]], %[[ONE]], %[[CONV]]) {{.*UNIFORM.*}} -> tensor<12x?x64xf32>
      %0 = "tf.RandomUniform"(%arg0) : (tensor<3xi32>) -> tensor<12x?x64xf32>
      // CHECK: return %[[F32]]
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon May 06 18:46:23 UTC 2024
    - 335.5K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/lite/tests/optimize.mlir

      // CHECK: %[[dq:.*]] = "tfl.dequantize"(%[[q]])
      // CHECK: %[[conv:.*]] = "tfl.conv_2d"(%arg0, %[[dq]], %[[cst]])
      // CHECK: return %[[conv]] : tensor<256x8x7x3xf32>
    }
    
    // CHECK-LABEL: @fuseMulIntoFullyConnectedWithOptionalAttribute
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 284.1K bytes
    - Viewed (0)
  6. src/net/http/h2_bundle.go

    		return t.newClientConn(nil, singleUse)
    	}
    	host, _, err := net.SplitHostPort(addr)
    	if err != nil {
    		return nil, err
    	}
    	tconn, err := t.dialTLS(ctx, "tcp", addr, t.newTLSConfig(host))
    	if err != nil {
    		return nil, err
    	}
    	return t.newClientConn(tconn, singleUse)
    }
    
    func (t *http2Transport) newTLSConfig(host string) *tls.Config {
    	cfg := new(tls.Config)
    	if t.TLSClientConfig != nil {
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Tue Jun 04 16:19:04 UTC 2024
    - 364.1K bytes
    - Viewed (0)
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