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Results 11 - 20 of 39 for 4x4x8xf32 (0.34 sec)

  1. tensorflow/compiler/mlir/lite/tests/split-merged-operands.mlir

      func.return %2 : tensor<4x4x4xf32>
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 7.7K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_move_transposes_begin.mlir

      %1 = "tf.AddV2"(%0, %0) : (tensor<1x4x4x8xf32>, tensor<1x4x4x8xf32>) -> tensor<1x4x4x8xf32>
      %2 = "tf.Const"() {value = dense<[0, 3, 1, 2]> : tensor<4xi32>} : () -> tensor<4xi32>
      %3 = "tf.Transpose"(%1, %2) : (tensor<1x4x4x8xf32>, tensor<4xi32>) -> tensor<1x8x4x4xf32>
    
      func.return %3 : tensor<1x8x4x4xf32>
    }
    
    // CHECK-LABEL: move_transpose_handle_broadcast
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 6.3K bytes
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  3. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/nchw_convolution_to_nhwc.mlir

    // CHECK: %[[TRANSPOSE_2:.+]] = stablehlo.transpose %[[CONV]], dims = [0, 3, 1, 2] : (tensor<1x4x4x8xf32>) -> tensor<1x8x4x4xf32>
    
    // -----
    
    // Tests that the conversion doesn't happen when the input dimension numbers
    // are not [b, f, 0, 1].
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Mar 25 23:00:47 UTC 2024
    - 5.5K bytes
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  4. tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_move_transposes_end.mlir

      // CHECK: %[[RELU:[0-9]*]] = "tf.Relu"(%[[TANH]]) {{.*}} tensor<1x4x4x8xf32>
      // CHECK: %[[RES_TRANSPOSE:[0-9]*]] = "tf.Transpose"(%[[RELU]], %[[RES_PERM]])
      // CHECK: return %[[RES_TRANSPOSE]]
    
      %0 = "tf.Const"() {value = dense<[0, 3, 1, 2]> : tensor<4xi32>} : () -> tensor<4xi32>
      %1 = "tf.Transpose"(%arg0, %0) : (tensor<1x4x4x8xf32>, tensor<4xi32>) -> tensor<1x8x4x4xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 9.5K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/quantization/stablehlo/tests/components/pre_calibration_component.mlir

    // CHECK: %[[CUSTOM_AGGREGATOR_1:.+]], {{.*}}, {{.*}}, {{.*}} = "tf.CustomAggregator"(%[[XLA_CALL_MODULE]]) {{.*}} : (tensor<1x4x4x8xf32>) -> (tensor<1x4x4x8xf32>, tensor<f32>, tensor<f32>, tensor<0xi64>)
    
    // CHECK: %[[TRANSPOSE_2:.+]] = stablehlo.transpose %[[CUSTOM_AGGREGATOR_1]], dims = [0, 3, 1, 2] : (tensor<1x4x4x8xf32>) -> tensor<1x8x4x4xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 5.1K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/tensorflow/tests/transpose-op.mlir

    // RUN: tf-opt %s -split-input-file -verify-diagnostics
    
    func.func @out_of_bounds_check(%arg0: tensor<1x4x4x8xf32>) -> tensor<1x4x4x8xf32> {
      %0 = "tf.Const"() {value = dense<[0, 3, 1, 2]> : tensor<4xi32>} : () -> tensor<4xi32>
      %1 = "tf.Const"() {value = dense<[0, 0x4141, 3, 1]> : tensor<4xi32>} : () -> tensor<4xi32>
      %2 = "tf.Transpose"(%arg0, %0) : (tensor<1x4x4x8xf32>, tensor<4xi32>) -> tensor<1x8x4x4xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Mar 23 05:52:37 UTC 2023
    - 634 bytes
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  7. 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)
  8. tensorflow/compiler/mlir/tensorflow/tests/executor_tpuv1_island_coarsening/executor_tpuv1_island_coarsening.mlir

        %add_out, %add_control = tf_executor.island wraps "tf.AddV2"(%const_out, %const_out) {_xla_compile_device_type = "TPU", _replication_info = "cluster"} : (tensor<4x4xf32>, tensor<4x4xf32>) -> tensor<4x4xf32>
        %replicated_out, %replicated_control = tf_executor.island wraps "tf.TPUReplicatedOutput"(%add_out) : (tensor<4x4xf32>) -> (tensor<4x4xf32>)
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Aug 02 03:15:59 UTC 2022
    - 36.2K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/tensorflow/tests/lower_tf.mlir

        // CHECK-NEXT:  %[[RES:.*]] = "tf.SelectV2"(%[[PRED]], %[[SCALED_GRADIENTS]], %[[SELU_GRAD_VALUE]]) : (tensor<4x8xi1>, tensor<4x8xf32>, tensor<4x8xf32>) -> tensor<4x8xf32>
        // CHECK-NEXT:  return %[[RES]] : tensor<4x8xf32>
        %2 = "tf.SeluGrad"(%gradients, %features) : (tensor<4x8xf32>, tensor<4x8xf32>) -> tensor<4x8xf32>
        func.return %2 : tensor<4x8xf32>
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Jan 05 18:35:42 UTC 2024
    - 92K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_lifting.mlir

    func.func @lower_einsum(%arg0: tensor<3x4x5xf32>, %arg1: tensor<3x5x6xf32>) -> tensor<3x4x6xf32> {
      %0 = "tf.Einsum"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", equation = "ijk,ikm->ijm"}: (tensor<3x4x5xf32>, tensor<3x5x6xf32>) -> tensor<3x4x6xf32>
      func.return %0 : tensor<3x4x6xf32>
    }
    // CHECK-LABEL: lower_einsum
    // CHECK: "tf.BatchMatMulV2"(%arg0, %arg1) <{adj_x = false, adj_y = false}> : (tensor<3x4x5xf32>, tensor<3x5x6xf32>) -> tensor<3x4x6xf32>
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Feb 14 03:24:59 UTC 2024
    - 33.3K bytes
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