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Results 21 - 30 of 49 for 8x10xf32 (0.17 sec)

  1. tensorflow/compiler/mlir/tensorflow/tests/materialize_passthrough_op.mlir

      func.return %0 : tensor<10x10xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Mar 30 10:34:48 UTC 2022
    - 1.2K bytes
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  2. tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training-16bits.mlir

      %2 = "tfl.pseudo_const"() {value = dense<[[0.2]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
      %3 = "tfl.pseudo_const"() {value = dense<[[0.3]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
      %4 = "tfl.pseudo_const"() {value = dense<[[0.4]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
      %5 = "tfl.pseudo_const"() {value = dense<[[0.5]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 26.1K bytes
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  3. tensorflow/compiler/mlir/lite/stablehlo/tests/composite-lowering.mlir

    func.func private @gelu_decomp_2(%arg0: tensor<5x10xf32>) -> tensor<5x10xf32>
    func.func @gelu_aten_approximate(%arg0: tensor<5x10xf32>) -> (tensor<*xf32>) {
      %0 = mhlo.composite "aten.gelu.default" %arg0 {composite_attributes = {approximate = "tanh"}, decomposition = @gelu_decomp_2} : (tensor<5x10xf32>) -> tensor<5x10xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 18:45:51 UTC 2024
    - 32.6K bytes
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  4. tensorflow/compiler/mlir/lite/tests/unfold-large-splat-constant.mlir

    func.func @unfold_large_constant_splat() -> (tensor<10x10xf32>, tensor<1000x1000xf32>) {
      %0 = arith.constant dense<0.00000e+00> : tensor<10x10xf32>
      %1 = arith.constant dense<1.00000e+00> : tensor<1000x1000xf32>
      func.return %0, %1 : tensor<10x10xf32>, tensor<1000x1000xf32>
    
      // CHECK-DAG: %cst = arith.constant dense<0.000000e+00> : tensor<10x10xf32>
      // CHECK-DAG: %cst_0 = arith.constant dense<1000> : tensor<2xi64>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 26 23:53:32 UTC 2022
    - 781 bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/replace_stablehlo_ops_in_main_function_with_xla_call_module_ops.mlir

        %4:4 = "tf.CustomAggregator"(%3) {calibration_method = 1 : i32, id = "1", max_percentile = 0.000000e+00 : f32, min_percentile = 0.000000e+00 : f32, num_bins = 0 : i32} : (tensor<3x11xf32>) -> (tensor<3x11xf32>, tensor<f32>, tensor<f32>, tensor<*xi64>)
        %5 = stablehlo.add %4#0, %1 : tensor<3x11xf32>
        %6 = stablehlo.multiply %5, %1 : tensor<3x11xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 01:09:50 UTC 2024
    - 39.8K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/result-sharding.mlir

      func.func @main(%arg0: tensor<128x10xf32>, %arg1: tensor<10x1024xf32>, %arg2: tensor<128x1024xf32>) -> (tensor<128x10xf32> {mhlo.sharding = "\08\03\1A\02\01\02\22\02\00\01"}, tensor<10x1024xf32> {mhlo.sharding = "\08\01\1A\01\01\22\01\00"}, tensor<128x1024xf32> {mhlo.sharding = ""}) {
        func.return %arg0, %arg1, %arg2 : tensor<128x10xf32>, tensor<10x1024xf32>, tensor<128x1024xf32>
      }
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Mar 23 18:56:13 UTC 2022
    - 1.6K 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/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
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  9. tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_custom_aggregation_ops.mlir

        } : (tensor<?x100352xf32>, tensor<100352x10xf32>) -> tensor<?x10xf32>
        %3 = "tf.Identity"(%2) {device = ""} : (tensor<?x10xf32>) -> tensor<?x10xf32>
        return %3 : tensor<?x10xf32>
      }
    
      // CHECK-LABEL: func.func private @composite_dot_general_fn_1
      func.func private @composite_dot_general_fn_1(%arg0: tensor<?x100352xf32>, %arg1: tensor<100352x10xf32>) -> tensor<?x10xf32> {
        // CHECK-NOT: tf.CustomAggregator
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 32.1K bytes
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  10. tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir

        // CHECK-NEXT: return %[[DIV]] : tensor<4x10xf32>
        %0 = "tf.Softsign"(%arg0) : (tensor<4x10xf32>) -> tensor<4x10xf32>
        func.return %0 : tensor<4x10xf32>
    }
    
    // -----
    
    // CHECK-LABEL: func @softsign_grad
    func.func @softsign_grad(%arg0: tensor<4x10xf32>, %arg1: tensor<4x10xf32>) -> tensor<4x10xf32> {
    
        // CHECK-NEXT: %[[ONE:.*]] = mhlo.constant dense<1.000000e+00> : tensor<f32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon May 06 18:46:23 UTC 2024
    - 335.5K bytes
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