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Results 131 - 140 of 267 for 4xf32 (0.18 sec)

  1. tensorflow/compiler/mlir/lite/stablehlo/tests/tf-tfl-translate-serialize-stablehlo-clamp.mlir

    module {
    func.func @main(%arg0 : tensor<5xf32>, %arg1 : tensor<f32>, %arg2 : tensor<f32>) -> tensor<5xf32> {
      %0 = "tf.ClipByValue"(%arg0, %arg1, %arg2) : (tensor<5xf32>, tensor<f32>, tensor<f32>) -> tensor<5xf32>
      func.return %0 : tensor<5xf32>
    }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Mar 03 03:08:46 UTC 2023
    - 373 bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_move_transposes_begin.mlir

      %0 = "tf.AddV2"(%arg0, %arg1) {device = ""} : (tensor<1x1x2x3xf32>, tensor<2x3xf32>) -> tensor<1x1x2x3xf32>
      %1 = "tf.Transpose"(%0, %cst) {device = ""} : (tensor<1x1x2x3xf32>, tensor<4xi32>) -> tensor<1x2x1x3xf32>
    
      func.return %1 : tensor<1x2x1x3xf32>
    
      // CHECK: %[[CST:.*]] = "tf.Const"() <{value = dense<[0, 2, 1, 3]> : tensor<4xi32>}> : () -> tensor<4xi32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 6.3K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions.mlir

        %1 = "tf.BiasAdd"(%0, %arg2) {data_format = "NHWC", device = ""} : (tensor<*xf32>, tensor<2xf32>) -> tensor<*xf32>
        %2 = "tf.Relu6"(%1) : (tensor<*xf32>) -> tensor<*xf32>
        func.return %2 : tensor<*xf32>
      }
    
    // CHECK-LABEL: func @conv_with_default_attributes
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Nov 06 01:23:21 UTC 2023
    - 15.2K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/prepare_quantize/prepare_quantize_per_channel.mlir

        %4 = "quantfork.stats"(%2) {layerStats = dense<[-1.36523, 3.57373]> : tensor<2xf32>} : (tensor<1x2x2x2xf32>) -> tensor<1x2x2x2xf32>
        %5 = "chlo.broadcast_add"(%4, %3) : (tensor<1x2x2x2xf32>, tensor<2xf32>) -> tensor<1x2x2x2xf32>
        %6 = "quantfork.stats"(%5) {layerStats = dense<[-1.31055, 2.62842]> : tensor<2xf32>} : (tensor<1x2x2x2xf32>) -> tensor<1x2x2x2xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Mar 26 07:48:15 UTC 2024
    - 8.6K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_drq.mlir

      } : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<*xf32>
      %4 = "tf.BiasAdd"(%3, %cst) {data_format = "NHWC", device = ""} : (tensor<*xf32>, tensor<2xf32>) -> tensor<*xf32>
    
      func.return %2, %4 : tensor<*xf32>, tensor<*xf32>
    
    // CHECK-DAG: %[[CONST_0:.*]] = "tf.Const"() <{value = dense<0.000000e+00> : tensor<2xf32>}> : () -> tensor<2xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 11.8K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/tensorflow/tests/tpu-resource-read-for-write.mlir

      %fill = "tf.Fill"(%cst_0, %cst) : (tensor<1xi64>, tensor<f32>) -> tensor<1xf32>
      tf_device.replicate([%0, %fill] as %arg_r0: tensor<1xf32>) {n = 2 : i32} {
        %1 = "tf_device.launch"() <{device = "TPU_REPLICATED_HOST_0"}> ({
          %2 = "tf.Identity"(%arg_r0) : (tensor<1xf32>) -> tensor<1xf32>
          tf_device.return %2 : tensor<1xf32>
        }) : () -> tensor<1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 16:54:40 UTC 2024
    - 5.3K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/tensorflow/tests/tpu_update_embedding_enqueue_op_inputs.mlir

      %2:2 = "tf.RecvTPUEmbeddingActivations"() {_tpu_embedding_layer = "call1", config = "\0A\0B\0C\0D"} : () -> (tensor<2x2xf32>, tensor<4x4xf32>)
      func.return
    }
    
    // -----
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 5.3K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/lite/experimental/tac/execution_metadata_exporter_test.cc

      %2 = "tfl.add"(%arg0, %arg3) {fused_activation_function = "RELU6", per_device_costs = {CPU = 5.0 : f32, GPU = 1.0 : f32}, tac.device = "GPU"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
      %3 = "tfl.pack"(%1, %2) {axis = 0 : i32, per_device_costs = {CPU = 2.0 : f32, GPU = -1.0 : f32}, values_count = 2 : i32, tac.device = "CPU"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<2x1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 06:11:34 UTC 2024
    - 6K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_layout_assignment_to_nhwc.mlir

             exponential_avg_factor = 1.0 : f32,
             is_training = true
           }
            : (tensor<1x64x28x28xf32>, tensor<64xf32>, tensor<64xf32>,
               tensor<64xf32>, tensor<64xf32>)
           -> (tensor<1x64x28x28xf32>, tensor<64xf32>, tensor<64xf32>,
               tensor<64xf32>, tensor<64xf32>, tensor<64xf32>)
    
      func.return %y : tensor<1x64x28x28xf32>
    }
    
    // CHECK-LABEL: bias_add_nchw
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 4.5K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_xla.mlir

        %1 = "tf.BiasAdd"(%0, %arg2) {data_format = "NHWC", device = ""} : (tensor<*xf32>, tensor<2xf32>) -> tensor<*xf32>
        %2 = "tf.Relu6"(%1) : (tensor<*xf32>) -> tensor<*xf32>
        func.return %2 : tensor<*xf32>
      }
    
    // CHECK-LABEL: func @conv_with_single_layer
    
    // CHECK: %[[quantize:.*]] = "tf.PartitionedCall"(%arg0
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Jan 08 01:16:10 UTC 2024
    - 25.2K bytes
    - Viewed (0)
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