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Results 31 - 40 of 124 for 2x9xf32 (0.12 sec)

  1. tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant-4bit.mlir

      %1 = "tf.Transpose"(%0, %cst_0): (tensor<1x2xf32>, tensor<2xi32>) -> tensor<2x1xf32>
      %2 = "tf.Transpose"(%0, %cst_0): (tensor<1x2xf32>, tensor<2xi32>) -> tensor<2x1xf32>
      func.return %1, %2 : tensor<2x1xf32>, tensor<2x1xf32>
    
    // CHECK:  %cst = arith.constant
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 22K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/lite/tests/quantize-dynamic-range-float16.mlir

          time_major = false} : (
            tensor<1x2x3xf32>,
            tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>,
            tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>,
            none, none, none,
            tensor<3xf32>, tensor<3xf32>, tensor<3xf32>, tensor<3xf32>,
            none, none,
            tensor<1x3xf32>, tensor<1x3xf32>,
            none, none, none, none) -> tensor<1x2x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 4.6K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training-16bits.mlir

      %0 = "quantfork.stats"(%arg0) {layerStats = dense<[-1.0, 1.0]> : tensor<2xf32>} : (tensor<1x1xf32>) -> tensor<1x1xf32>
      %1 = "tfl.tanh"(%0) : (tensor<1x1xf32>) -> tensor<1x1xf32>
      %2 = "quantfork.stats"(%1) {layerStats = dense<[-1.0, 1.0]> : tensor<2xf32>} : (tensor<1x1xf32>) -> tensor<1x1xf32>
      func.return %2 : tensor<1x1xf32>
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 26.1K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/tfrt/tests/ifrt/rewrite_cluster_to_ifrt_call.mlir

      %outputs_2 = "tf.add"(%outputs_0, %outputs_1): (tensor<1x1xf32>, tensor<1x1xf32>) -> tensor<1x1xf32>
      return %outputs_2 : tensor<1x1xf32>
    }
    
    // CHECK-LABEL: @_func
    func.func private @_func(%arg0: tensor<1x3xf32>, %arg1: tensor<3x1xf32>) -> (tensor<1x1xf32>) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Feb 17 07:28:40 UTC 2024
    - 9K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/insert_calibration_statistics_saver.mlir

        return %3 : tensor<1x3xf32>
      }
      func.func private @composite_matmul_with_bias_fn_2(%arg0: tensor<1x4xf32>, %arg1: tensor<4x3xf32>, %arg2: tensor<3xf32>) -> tensor<1x3xf32> attributes {tf_quant.composite_function} {
        %0 = "tf.MatMul"(%arg0, %arg1) <{grad_a = false, grad_b = false, transpose_a = false, transpose_b = false}> {attr_map = "0:transpose_a,1:transpose_b", device = ""} : (tensor<1x4xf32>, tensor<4x3xf32>) -> tensor<1x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 01:09:50 UTC 2024
    - 24.3K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_custom_aggregation_ops.mlir

        %0 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0], precision = [DEFAULT, DEFAULT] : (tensor<1x4xf32>, tensor<4x3xf32>) -> tensor<1x3xf32>
        %1 = stablehlo.add %0, %arg2 : tensor<1x3xf32>
        return %1 : tensor<1x3xf32>
      }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 32.1K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/tfrt/tests/ifrt/sink_variable_as_named_array.mlir

    // CHECK-NEXT:    return [[RES]], [[MATRES]] : tensor<1x1xf32>, tensor<1x1xf32>
    //
    module {
      func.func @serving_default(%arg0: tensor<1x3xf32>) -> (tensor<1x1xf32>, tensor<1x1xf32>) {
        %0 = "tf.VarHandleOp"() <{container = "", shared_name = "y"}> : () -> tensor<!tf_type.resource<tensor<3x1xf32>>>
        %2 = "tf.ReadVariableOp"(%0) : (tensor<!tf_type.resource<tensor<3x1xf32>>>) -> tensor<3x1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 15:33:17 UTC 2024
    - 5.3K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/quantization/stablehlo/tests/components/pre_calibration_component.mlir

    func.func @main(%arg0: tensor<1x4xf32>) -> tensor<1x3xf32> {
      %0 = stablehlo.constant dense<1.0> : tensor<4x3xf32>
      %1 = stablehlo.dot_general %arg0, %0, contracting_dims = [1] x [0], precision = [DEFAULT, DEFAULT] : (tensor<1x4xf32>, tensor<4x3xf32>) -> tensor<1x3xf32>
      return %1 : tensor<1x3xf32>
    }
    // CHECK: @main(%[[ARG_0:.+]]: tensor<1x4xf32>) -> tensor<1x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 5.1K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composit_functions_debugging.mlir

        %0 = "tf.MatMul"(%arg0, %arg1) {attr_map = "0:transpose_a,1:transpose_b", device = "", transpose_a = false, transpose_b = false} : (tensor<2x2xf32>, tensor<2x2xf32>) -> tensor<2x2xf32>
        return %0 : tensor<2x2xf32>
      }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Nov 06 01:23:21 UTC 2023
    - 80.5K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/quantization.mlir

      %3 = "tfl.dequantize"(%2) : (tensor<2x2x!quant.uniform<u8:f32, 1.0>>) -> tensor<2x2xf32>
      func.return %3 : tensor<2x2xf32>
    
    // CHECK-NEXT: %[[Q:.*]] = "tfl.quantize"(%arg0) <{qtype = tensor<1x2x!quant.uniform<u8:f32, 1.000000e+00>>}> : (tensor<1x2xf32>) -> tensor<1x2x!quant.uniform<u8:f32, 1.000000e+00>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 4.3K bytes
    - Viewed (0)
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