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Results 1 - 3 of 3 for 16x28xf32 (0.17 sec)

  1. tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training.mlir

        : ( tensor<1x28x28xf32>,
            tensor<20x28xf32>, tensor<20x28xf32>, tensor<20x28xf32>, tensor<20x28xf32>,
            tensor<20x20xf32>, tensor<20x20xf32>, tensor<20x20xf32>, tensor<20x20xf32>,
            none, none, none,
            tensor<20xf32>, tensor<20xf32>, tensor<20xf32>, tensor<20xf32>,
            none, none,
            tensor<1x20xf32>, tensor<1x20xf32>,
            none, none, none, none) -> tensor<1x28x20xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 52.6K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions.mlir

        return %2 : tensor<1x2xf32>
      }
    
      func.func private @composite_add_fn(%arg0: tensor<1x2xf32>, %arg1: tensor<1x2xf32>) -> tensor<1x2xf32> attributes {_from_xla_call_module} {
        %0 = stablehlo.add %arg0, %arg1 : tensor<1x2xf32>
        %1 = stablehlo.add %0, %arg1 : tensor<1x2xf32>
        return %1 : tensor<1x2xf32>
      }
    }
    
    // -----
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 05:56:10 UTC 2024
    - 91.6K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/tensorflow/tests/lower_tf.mlir

      // CHECK-DAG: %[[ITEMS0_0:.*]] = "tf.ExpandDims"(%[[ITEMS0]], %[[AXIS]])
      // CHECK-DAG: "tf.ConcatV2"(%[[ITEMS1_3]], %[[ITEMS1_2]], %[[ITEMS1_1]], %[[ITEMS1_0]], %[[ITEMS0_0]], %[[AXIS]]) : (tensor<1x2xf32>, tensor<1x2xf32>, tensor<1x2xf32>, tensor<1x2xf32>, tensor<1x2xf32>, tensor<i64>) -> tensor<5x2xf32>
    
      %indices0 = "tf.Const"() {value = dense<4> : tensor<i32>} : () -> tensor<i32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Jan 05 18:35:42 UTC 2024
    - 92K bytes
    - Viewed (0)
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