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Results 1 - 10 of 11 for 8x8x8x64xf32 (0.14 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir 

    // CHECK:           return %[[VAL_5]] : tensor<8x8x8x64xf32>
// CHECK:         }
func.func @convert_conv2d_back_prop_input(%arg0: tensor<8x4x4x32xf32>, %arg1: tensor<3x3x64x32xf32>) -> tensor<8x8x8x64xf32> {
  %0 = "mhlo.convolution"(%arg0, %arg1) {batch_group_count = 1 : i64,
    dimension_numbers = #mhlo.conv<raw
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
    - 340.2K bytes
    - Viewed (0)
  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/convert_custom_aggregation_op_to_quant_stats.mlir 

      func.return %0#0, %1#0 : tensor<8x8x8x8xf32>, tensor<8x8x8x8xf32>
}
// CHECK: func @customAggregator
// CHECK-NEXT: %[[stats:.*]] = "quantfork.stats"(%arg0) <{layerStats = dense<[-1.000000e-01, 2.000000e-01]> : tensor<2xf32>}> : (tensor<8x8x8x8xf32>) -> tensor<8x8x8x8xf32>
// CHECK-NEXT: return %[[stats]], %arg0
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 01 06:25:50 UTC 2024
    - 2.2K bytes
    - Viewed (0)
  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir 

        func.return %0#0 : tensor<8x8x8x8xf32>
  }

  // CHECK-LABEL: fusedBatchNormGradV3_Training
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Apr 06 15:32:52 UTC 2024
    - 38.6K bytes
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  5. github.com/tensorflow/tensorflow

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

      func.return %0#0 : tensor<8x8x8x8xf32>
}

// -----

// CHECK-LABEL: fusedBatchNormGrad_Training
    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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  6. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir 

    // CHECK-LABEL: func @testValidFakeQuantWithMinMaxArgs
func.func @testValidFakeQuantWithMinMaxArgs(tensor<8x8x8x8xf32>) -> tensor<8x8x8x8xf32> {
^bb0(%arg0: tensor<8x8x8x8xf32>):
  %0 = "tf.FakeQuantWithMinMaxArgs"(%arg0) {min = -1.0 : f32, max = 1.0 : f32, num_bits = 3} : (tensor<8x8x8x8xf32>) -> tensor<8x8x8x8xf32>
  func.return %0 : tensor<8x8x8x8xf32>
}

// -----

// Test invalid tf.FakeQuantWithMinMaxArgs
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 23 14:40:35 UTC 2023
    - 236.4K bytes
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  7. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir 

    }

func.func @fakeQuantArgsTrue(%arg0: tensor<8x8x8x8xf32>) -> tensor<8x8x8x8xf32> {
  %0 = "tf.FakeQuantWithMinMaxArgs"(%arg0) {min = -0.1 : f32, max = 0.2 : f32, num_bits = 5, narrow_range = true} : (tensor<8x8x8x8xf32>) -> tensor<8x8x8x8xf32>
  func.return %0 : tensor<8x8x8x8xf32>

  // CHECK-LABEL: fakeQuantArgsTrue
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 05 01:54:33 UTC 2024
    - 153.4K bytes
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  8. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir 

      func.return %0 : tensor<256x16x32x32xf32>

  // LAYOUT-LABEL: Conv2dNCHW
  // LAYOUT: "tfl.conv_2d"
}

func.func @fusedBatchNormV3(tensor<8x8x8x8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>) -> (tensor<8x8x8x8xf32>, tensor<8xf32>) {
^bb0(%arg0: tensor<8x8x8x8xf32>, %arg1: tensor<8xf32>, %arg2: tensor<8xf32>, %arg3: tensor<8xf32>, %arg4: tensor<8xf32>):
  // OK
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
    - 59.8K bytes
    - Viewed (0)
  9. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/defer_activation_transpose.mlir 

    // permutated to match the new input shape.
// CHECK: (tensor<1x16x16x4xf32>, tensor<f32>) -> tensor<1x8x8x4xf32>

// Check that a `stablehlo.transpose` is added to the result to match the shape
// of the users.
// CHECK: %[[TRANSPOSE:.+]] = stablehlo.transpose %[[REDUCE_WINDOW]], dims = [0, 3, 1, 2] : (tensor<1x8x8x4xf32>) -> tensor<1x4x8x8xf32>
// CHECK: return %[[TRANSPOSE]]

// -----
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 18 20:32:46 UTC 2024
    - 14.6K bytes
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  10. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/einsum.mlir 

    // CHECK: return %[[v4]] : tensor<?x36x32xf32>
}

func.func @einsum_with_runtime_shape2(%arg0 : tensor<?x?x8x64xf32>, %arg1 : tensor<8x8x64xf32>) -> tensor<?x?x8xf32> {
  %0 = "tf.Einsum"(%arg0, %arg1) {device = "", equation = "ABNH,DNH->ABD"} : (tensor<?x?x8x64xf32>, tensor<8x8x64xf32>) -> tensor<?x?x8xf32>
  func.return %0 : tensor<?x?x8xf32>
// CHECK-LABEL: einsum_with_runtime_shape2
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Jan 05 18:35:42 UTC 2024
    - 25.9K bytes
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  11. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/tpu_space_to_depth_pass.mlir 

        // CHECK: %[[CONST3:.*]] = "tf.Const"() <{value = dense<
    // CHECK-SAME: [7, 7, 3, 64]
    // CHECK: %[[CONST4:.*]] = "tf.Const"() <{value = dense<
    // CHECK-SAME: 0
    // CHECK: %[[SLICE0:.*]] = "tf.Slice"(%[[RESHAPE1:.*]], %[[CONST4:.*]], %[[CONST3:.*]]) : (tensor<8x8x3x64xf32>, tensor<4xi64>, tensor<4xi32>) -> tensor<7x7x3x64xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 37.4K bytes
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