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Results 1 - 6 of 6 for 1x3x2x1024xf32 (0.24 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_xla.mlir 

        %2 = "quantfork.qcast"(%1) : (tensor<1x3x2x1024xf32>) -> tensor<1x3x2x1024x!quant.uniform<i8:f32, 0.0011764706057660721:-43>>
    %3 = "quantfork.dcast"(%2) : (tensor<1x3x2x1024x!quant.uniform<i8:f32, 0.0011764706057660721:-43>>) -> tensor<1x3x2x1024xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Jan 08 01:16:10 UTC 2024
    - 25.2K bytes
    - Viewed (0)
  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_weights.mlir 

        %2 = "tf.Conv2D"(%1, %cst_1) {data_format = "NHWC", device = "", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true} : (tensor<1x3x2x1024xf32>, tensor<3x3x1024x1xf32>) -> tensor<1x3x1x1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 42K bytes
    - Viewed (0)
  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/unfreeze_constants.mlir 

        %1 = "tf.AddV2"(%0#2, %cst_2) {device = ""} : (tensor<1x5x5x1024xf32>, tensor<1x5x5x1024xf32>) -> tensor<1x5x5x1024xf32>
    return %1 : tensor<1x5x5x1024xf32>
  }

  func.func private @while_body(%arg0: tensor<i32> {tf._user_specified_name = "while/loop_counter"}, %arg1: tensor<i32> {tf._user_specified_name = "while/maximum_iterations"}, %arg2: tensor<1x5x5x1024xf32>) -> (tensor<i32>, tensor<i32>, tensor<1x5x5x1024xf32>)
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 17.2K bytes
    - Viewed (0)
  5. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize_op_with_region.mlir 

        %7 = "quantfork.qcast"(%6) {volatile} : (tensor<2x3x1x1024xf32>) -> tensor<2x3x1x1024x!quant.uniform<i8:f32, 5.000000e-01:2>>
    %8 = "quantfork.dcast"(%7) : (tensor<2x3x1x1024x!quant.uniform<i8:f32, 5.000000e-01:2>>) -> tensor<2x3x1x1024xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 18 20:32:46 UTC 2024
    - 18.9K bytes
    - Viewed (0)
  6. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/experimental/tac/tests/device-transform-gpu.mlir 

    // CHECK:           [[VAL_7:%.*]] = "tfl.slice"([[VAL_1]], [[VAL_3]], [[VAL_5]]) : (tensor<1x8x8x1024xf32>, tensor<4xi32>, tensor<4xi32>) -> tensor<1x8x8x256xf32>
// CHECK:           [[VAL_8:%.*]] = "tfl.slice"([[VAL_1]], [[VAL_4]], [[VAL_5]]) : (tensor<1x8x8x1024xf32>, tensor<4xi32>, tensor<4xi32>) -> tensor<1x8x8x256xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 15.6K bytes
    - Viewed (0)
  7. github.com/tensorflow/tensorflow

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

    }

func.func @GroupConv(%arg0: tensor<?x1x26x14xf32>, %arg1: tensor<1x3x2x14xf32>) -> (tensor<?x1x6x14xf32>) {
  %0 = "tf.Conv2D"(%arg0, %arg1) {data_format = "NHWC", device = "", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 5, 1], use_cudnn_on_gpu = true} : (tensor<?x1x26x14xf32>, tensor<1x3x2x14xf32>) -> tensor<?x1x6x14xf32>
  func.return %0 : tensor<?x1x6x14xf32>
  // CHECK-LABEL: GroupConv
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
    - 59.8K bytes
    - Viewed (0)
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