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Results 1 - 10 of 118 for 2x8xf32 (0.17 sec)

  1. tensorflow/compiler/mlir/tfrt/tests/mlrt/while_to_map_fn.mlir

      %outputs =  "tf.Const"() {device = "/job:localhost/replica:0/task:0/device:CPU:0", value = dense<0> : tensor<i32>} : () -> tensor<i32>...
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Apr 23 06:40:22 UTC 2024
    - 68.6K bytes
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  2. tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir

         %t2 = "tf.Acosh"(%arg1) : (tensor<2xf32>) -> tensor<2xf32>
        "tf.Yield"(%t0, %t1, %t2) : (tensor<2xf32>, tensor<2xf32>, tensor<2xf32>) -> ()
        }, {
         %e0 = "tf.Neg"(%arg1) : (tensor<2xf32>) -> tensor<2xf32>
         %e1 = "tf.Relu"(%arg1) : (tensor<2xf32>) -> tensor<2xf32>
         %e2 = "tf.Sin"(%arg1) : (tensor<2xf32>) -> tensor<2xf32>
         "tf.Yield"(%e0, %e1, %e2) : (tensor<2xf32>, tensor<2xf32>, tensor<2xf32>) -> ()
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 23 14:40:35 UTC 2023
    - 236.4K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/tensorflow/tests/lower_tf.mlir

      // CHECK-DAG: %[[LOG_SOFTMAX_SUM:.*]] = "tf.Sum"(%[[LOG_SOFTMAX_EXP]], %[[AXIS]]) <{keep_dims = true}> : (tensor<2x3xf32>, tensor<1xi64>) -> tensor<2x1xf32>
      // CHECK-DAG: %[[LOG_SOFTMAX_LOG:.*]] = "tf.Log"(%[[LOG_SOFTMAX_SUM]]) : (tensor<2x1xf32>) -> tensor<2x1xf32>
      // CHECK-DAG: %[[LOG_SOFTMAX:.*]] = "tf.Sub"(%[[LOG_SOFTMAX_SHIFTED]], %[[LOG_SOFTMAX_LOG]]) : (tensor<2x3xf32>, tensor<2x1xf32>) -> tensor<2x3xf32>
    
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Jan 05 18:35:42 UTC 2024
    - 92K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir

      %3 = "tfl.dequantize"(%2) : (tensor<2x3x!quant.uniform<i16:f32, 1.0>>) -> (tensor<2x3xf32>)
      %4 = "tfl.concatenation"(%1, %3) {axis = -1 : i32, fused_activation_function = "NONE"} : (tensor<2x1xf32>, tensor<2x3xf32>) -> tensor<2x4xf32>
      %5 = "tfl.add"(%4, %arg2) {fused_activation_function = "NONE"} : (tensor<2x4xf32>, tensor<2x4xf32>) -> tensor<2x4xf32>
      func.return %5: tensor<2x4xf32>
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 67.5K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/insert_weight_param.mlir

        version = 5 : i64
      } : (tensor<1x2xf32>, tensor<2x3xf32>) -> tensor<1x3xf32>
      return %0 : tensor<1x3xf32>
    }
    
    // CHECK-LABEL: func.func @qdq_for_dot_general_weight_empty
    // CHECK-SAME: (%[[ARG_0:.+]]: tensor<1x2xf32>) -> tensor<1x3xf32>
    // CHECK: %[[CST:.+]] = "tf.Const"() <{value = dense<3.000000e-01> : tensor<2x3xf32>}> : () -> tensor<2x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 05:56:10 UTC 2024
    - 22K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir

        %9 = stablehlo.convert %2 : (tensor<2x3xi32>) -> tensor<2x3xf32>
        %10 = stablehlo.dot_general %8, %9, contracting_dims = [1] x [0] : (tensor<1x2xf32>, tensor<2x3xf32>) -> tensor<1x3xf32>
        %11 = stablehlo.convert %3 : (tensor<1x3xi32>) -> tensor<1x3xf32>
        %12 = stablehlo.subtract %10, %11 : tensor<1x3xf32>  // q1 * q2 - z1 * q2
        %13 = stablehlo.multiply %12, %4 : tensor<1x3xf32>  // s1 * s2
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 17:10:32 UTC 2024
    - 37K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize_same_scale.mlir

      func.func private @composite_and_select(%arg0: tensor<1x2xf32>, %arg1: tensor<2x3xf32>, %arg2: tensor<1x3xi1>, %arg3: tensor<1x3xf32>) -> tensor<1x3xf32> {
        // CHECK: %[[Q1:.*]] = "quantfork.qcast"(%[[ARG0]]) {volatile} : (tensor<1x2xf32>) -> tensor<1x2x!quant.uniform<i8:f32, 5.000000e-03>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 17:10:32 UTC 2024
    - 35.4K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/quantization/tensorflow/tests/add_dump_tensor_op_stablehlo.mlir

        %3 = stablehlo.concatenate %2, %1, dim = 0 : (tensor<1x3xf32>, tensor<1x3xf32>) -> tensor<2x3xf32>
        return %3 : tensor<2x3xf32>
      }
      func.func private @composite_dot_general_fn_1(%arg0: tensor<1x2xf32>, %arg1: tensor<2x3xf32>) -> tensor<1x3xf32> attributes {_from_xla_call_module, tf_quant.composite_function} {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Mar 22 22:55:22 UTC 2024
    - 18K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training.mlir

            tensor<1x1x5xf32>,
            tensor<2x5xf32>, tensor<2x5xf32>, tensor<2x5xf32>, tensor<2x5xf32>,
            tensor<2x4xf32>, tensor<2x4xf32>, tensor<2x4xf32>, tensor<2x4xf32>,
            tensor<2xf32>, tensor<2xf32>, tensor<2xf32>,
            tensor<2xf32>, tensor<2xf32>, tensor<2xf32>, tensor<2xf32>,
            tensor<4x2xf32>, tensor<4xf32>,
            tensor<1x4xf32>, tensor<1x2xf32>,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 52.6K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/lite/tests/optimize.mlir

      %1 = "tfl.reshape"(%0, %cst3) : (tensor<4x2xf32>, tensor<2xi32>) -> tensor<1x8xf32>
      %2 = "tfl.mul"(%0, %cst2) {fused_activation_function = "RELU6"} : (tensor<4x2xf32>, tensor<2xf32>) -> tensor<4x2xf32>
    
      func.return %1, %2 : tensor<1x8xf32>, tensor<4x2xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 284.1K bytes
    - Viewed (0)
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