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Results 1 - 2 of 2 for 8x16x4xf32 (0.17 sec)

  1. tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/fallback_to_flex_ops_legacy.mlir

    }
    
    // CHECK-LABEL: softmax
    func.func @softmax(%arg0: tensor<8x16xf32>) -> tensor<8x16xf32> {
      %0 = "tf.Softmax"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
      func.return %0 : tensor<8x16xf32>
    // CHECK: %[[SOFTMAX_0:.*]] = "tf.Softmax"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
    // CHECK: return %[[SOFTMAX_0]] : tensor<8x16xf32>
    }
    
    // CHECK-LABEL: conv2d_backprop_input_with_add
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 5.8K bytes
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  2. tensorflow/compiler/mlir/lite/tests/optimize_batch_matmul.mlir

      %1 = "tfl.fully_connected"(%0, %arg1, %cst_1) {asymmetric_quantize_inputs = false, fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<4x1024xf32>, tensor<8x1024xf32>, none) -> tensor<4x8xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 9K bytes
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