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Results 1 - 10 of 11 for 3x4x2xf32 (0.42 sec)

  1. tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-BatchMatMulV2.mlir

    func.func @batchmatmulv2_basic(%arg0: tensor<1x4x2xf32>, %arg1: tensor<3x2x4xf32>) -> tensor<3x4x4xf32> {
    // CHECK-LABEL:   func @batchmatmulv2_basic
    // CHECK-SAME:        ([[LHS:%.*]]: tensor<1x4x2xf32>, [[RHS:%.*]]: tensor<3x2x4xf32>) -> tensor<3x4x4xf32>
    // CHECK:           [[LHSSHAPE:%.*]] = shape.shape_of [[LHS]] : tensor<1x4x2xf32>
    // CHECK:           [[RHSSHAPE:%.*]] = shape.shape_of [[RHS]] : tensor<3x2x4xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Apr 06 15:32:52 UTC 2024
    - 5.5K bytes
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  2. tensorflow/compiler/mlir/lite/stablehlo/tests/tf-tfl-translate-tf-quantize.mlir

    
    module {
    func.func @tfInplaceUpdate(%arg0: tensor<2x1x2xf32>) -> tensor<2x1x2xf32> {
      %1 = arith.constant dense<1> : tensor<1xi32>
      %2 = arith.constant dense<2.0> : tensor<1x1x2xf32>
      %3 = "tf.InplaceUpdate"(%arg0, %1, %2) {device = ""}
        : (tensor<2x1x2xf32>, tensor<1xi32>, tensor<1x1x2xf32>) -> tensor<2x1x2xf32>
      func.return %3 : tensor<2x1x2xf32>
    }
    }
    
    //CHECK: module {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sun Apr 14 18:33:43 UTC 2024
    - 1.1K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/stablehlo/tests/legalize-inplaceupdate.mlir

    func.func @tfInplaceUpdate(%arg0: tensor<2x1x2xf32>) -> tensor<2x1x2xf32> {
      %1 = arith.constant dense<1> : tensor<1xi32>
      %2 = arith.constant dense<2.0> : tensor<1x1x2xf32>
      %3 = "tf.InplaceUpdate"(%arg0, %1, %2) {device = ""}
        : (tensor<2x1x2xf32>, tensor<1xi32>, tensor<1x1x2xf32>) -> tensor<2x1x2xf32>
      func.return %3 : tensor<2x1x2xf32>
    }
    
    }
    
    // CHECK-LABEL: @tfInplaceUpdate
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Dec 16 05:09:09 UTC 2022
    - 993 bytes
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  4. tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-include-tf2xla-fallback.mlir

      %0 = "tf.BatchMatMulV2"(%arg0, %arg1) {T = f32, adj_x = false, adj_y = false, grad_x = false, grad_y = false, device = ""} : (tensor<1x4x2xf32>, tensor<3x2x4xf32>) -> tensor<3x4x4xf32>
      func.return %0 : tensor<3x4x4xf32>
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Nov 16 19:04:03 UTC 2023
    - 3.2K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/tensorflow/utils/bridge_logger_test.cc

    static const char *const module_with_add =
        R"(module {
    func.func @main(%arg0: tensor<3x4x5xf32>, %arg1: tensor<3x4x5xf32>) -> tensor<3x4x5xf32> {
      %0 = "tf.AddV2"(%arg0, %arg1) : (tensor<3x4x5xf32>, tensor<3x4x5xf32>) -> tensor<3x4x5xf32>
      func.return %0 : tensor<3x4x5xf32>
    }
    }
    )";
    
    static const char *const module_with_sub =
        R"(module {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 06 04:50:13 UTC 2023
    - 6.7K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/tensorflow/utils/data_dumper_logger_config_test.cc

    static const char *const module_with_add =
        R"(module {
    func.func @main(%arg0: tensor<3x4x5xf32>, %arg1: tensor<3x4x5xf32>) -> tensor<3x4x5xf32> {
      %0 = "tf.AddV2"(%arg0, %arg1) : (tensor<3x4x5xf32>, tensor<3x4x5xf32>) -> tensor<3x4x5xf32>
      func.return %0 : tensor<3x4x5xf32>
    }
    }
    )";
    
    // Test pass filter.
    TEST(DataDumperLoggerConfig, TestPassFilter) {
      mlir::DialectRegistry mlir_registry;
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Aug 31 00:41:24 UTC 2023
    - 3.9K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/quantization/tensorflow/tests/convert_tf_xla_op_to_tf_op.mlir

    func.func @xla_dot_v2(%arg0: tensor<?x2x3xf32>, %arg1: tensor<3x4x5xf32>) -> (tensor<?x2x4x5xf32>) {
      %0 = "tf.XlaDotV2"(%arg0, %arg1) {device = "", dimension_numbers = "\0A\01\02\12\01\00", precision_config = ""} : (tensor<?x2x3xf32>, tensor<3x4x5xf32>) -> tensor<?x2x4x5xf32>
      func.return %0 : tensor<?x2x4x5xf32>
    }
    
    // CHECK: func @xla_dot_v2
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 3.7K bytes
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  8. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize_weight_only.mlir

        return %2 : tensor<1x3x4x2xf32>
      }
    
      func.func private @composite_conv_fn(%arg0: tensor<1x3x4x3xf32>, %arg1: tensor<2x3x3x2xf32>) -> tensor<1x3x4x2xf32> attributes {_from_xla_call_module} {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 17:10:32 UTC 2024
    - 4.8K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/tensorflow/tests/batchmatmul_to_einsum.mlir

      // CHECK-LABEL: test_batch_matmul_broadcast_to_einsum
      // CHECK: "tf.Einsum"(%arg0, %arg1) <{equation = "...mk,...kn->...mn"}> : (tensor<2x2x4xf32>, tensor<2x4x2xf32>) -> tensor<2x2x2xf32>
      %0 = "tf.BatchMatMul"(%arg0, %arg1) {adj_x = false, adj_y = false} : (tensor<2x2x4xf32>, tensor<2x4x2xf32>) -> tensor<2x2x2xf32>
      func.return %0: tensor<2x2x2xf32>
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 3K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions_weight_only.mlir

        return %1 : tensor<1x3x4x2xf32>
      }
    
      func.func private @composite_conv_fn(%arg0: tensor<1x3x4x3xf32>, %arg1: tensor<2x3x3x2xf32>) -> tensor<1x3x4x2xf32> attributes {_from_xla_call_module} {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 05:56:10 UTC 2024
    - 9.4K bytes
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