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Results 1 - 2 of 2 for 3x3x4x4xi8 (0.12 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/fake_quant_e2e_flow.mlir 

    // CHECK-NEXT: %[[V2:.*]] = "tf.PartitionedCall"(%[[V1]], %[[V0]], %[[CST_6]], %[[CST]], %[[CST_0]], %[[CST_1]], %[[CST_0]], %[[CST_2]], %[[CST_3]], %[[CST_4]], %[[CST_5]]) <{config = "", config_proto = "", executor_type = "", f = @quantized_conv2d_with_bias_fn_0}> : (tensor<1x3x4x3xi8>, tensor<2x3x3x2xi8>, tensor<2xi32>, tensor<f32>, tensor<i32>, tensor<f32>, tensor<i32>, tensor<f32>,...
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 3.5K bytes
    - Viewed (0)
  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/fake_quant_e2e_xla.mlir 

    // CHECK: %[[minimum:.*]] = "tf.Minimum"(%[[maximum]]
// CHECK: %[[round:.*]] = "tf.Round"(%[[minimum]]
// CHECK: %[[quant:.*]] = "tf.Cast"(%[[round]]) : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3xi8>
// CHECK: %[[pad:.*]] = "tf.PadV2"(%[[quant]]
// CHECK: %[[xlaconv:.*]] = "tf.XlaConvV2"(%[[pad]]
// CHECK: %[[sub:.*]] = "tf.Sub"(%[[xlaconv]]
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 7.2K bytes
    - Viewed (0)
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