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Results 1 - 3 of 3 for 128x32x32x64xf32 (0.21 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/experimental/tac/tests/get-op-cost.mlir 

    }

func.func @testConv2DNoBiasGPU(%arg0: tensor<128x32x32x3xf32>, %arg1: tensor<64x3x3x3xf32>, %arg2: none) -> tensor<128x32x32x64xf32> {
  // CHECK: tac.cost = 0x4CACCCCD
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Mar 24 05:29:10 UTC 2022
    - 5.7K bytes
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  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/experimental/tac/tests/device-transform-gpu.mlir 

    }

// CHECK:       func @ensureBiasForConv2d(%[[VAL_0:.*]]: tensor<128x32x32x3xf32>, %[[VAL_1:.*]]: tensor<32x1x1x3xf32>) -> tensor<128x32x32x32xf32> {
// CHECK:           %[[VAL_2:.*]] = "tfl.pseudo_const"{{.*}}dense<0.000000e+00> : tensor<32xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 15.6K bytes
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  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/stablehlo/tests/composite-lowering.mlir 

    // CHECK-DAG:           %[[VAL_5:.*]] = arith.constant dense<[0, 3, 1, 2]> : tensor<4xi32>
// CHECK-DAG:           %[[VAL_6:.*]] = "tfl.transpose"(%[[VAL_4]], %[[VAL_5]]) : (tensor<1x32x32x64xf32>, tensor<4xi32>) -> tensor<1x64x32x32xf32>
// CHECK:           return %[[VAL_6]] : tensor<1x64x32x32xf32>
// CHECK:         }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 18:45:51 UTC 2024
    - 32.6K bytes
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