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Results 1 - 10 of 23 for 224x224x3xf32 (0.18 sec)

  1. tensorflow/compiler/mlir/tfrt/tests/mlrt/while_to_map_fn.mlir

      %outputs_22 = "tf.Squeeze"(%outputs_20) {device = "", squeeze_dims = [0]} : (tensor<1x224x224x3xf32>) -> tensor<224x224x3xf32>
      %outputs_24 = "tf.Cast"(%outputs_22) {Truncate = false, device = ""} : (tensor<224x224x3xf32>) -> tensor<224x224x3xui8>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Apr 23 06:40:22 UTC 2024
    - 68.6K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/lite/tests/modify_io_nodes.mlir

    // CHECK-LABEL: func @not_modified(%arg0: tensor<f32>, %arg1: tensor<1x224x224x3xf32>) -> (tensor<1x401408xf32>, tensor<1x224x224x3xf32>)
    // CHECK-NEXT: %[[shape:.*]] = arith.constant dense<[1, 401408]> : tensor<2xi32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 19.9K bytes
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  3. tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_to_nhwc.mlir

      // NOFOLD: %[[TRANSPOSE:[0-9]*]] = "tf.Transpose"(%arg0, %[[CST]]) : (tensor<?x224x224x3xf32>, tensor<4xi32>) -> tensor<?x3x224x224xf32>
    
      // Pad input with new paddings.
      // CHECK: %[[PAD:[0-9]*]] = "tf.Pad"(%arg0, %[[PADDINGS]])
      // CHECK-SAME: (tensor<?x224x224x3xf32>, tensor<4x2xi32>) -> tensor<?x230x230x3xf32>
      // NOFOLD: %[[PAD:[0-9]*]] = "tf.Pad"(%[[TRANSPOSE]], %[[PADDING]])
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 7.3K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/lite/tests/prepare-quantize-dynamic-range.mlir

    // MinElement-LABEL: QuantizeConv2D
    // Float16-LABEL: QuantizeConv2D
    func.func @QuantizeConv2D(%arg0: tensor<1x224x224x3xf32>) -> tensor<1x112x112x64xf32> {
      %0 = "quantfork.stats"(%arg0) {layerStats = dense<[0.000000e+00, 1.000000e+01]> : tensor<2xf32>} : (tensor<1x224x224x3xf32>) -> tensor<1x224x224x3xf32>
      %w = arith.constant dense<1.270000e+02> : tensor<64x3x3x3xf32>
      %b = arith.constant dense<-1.23697901> : tensor<64xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 38.2K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/depthwise_conv2d_v2.mlir

    // RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s
    
    func.func @main(tensor<1x224x224x3xf32>) -> tensor<1x112x112x32xf32> {
    ^bb0(%arg0: tensor<1x224x224x3xf32>):
      // CHECK:      {
      // CHECK-NEXT:  version: 3,
      // CHECK-NEXT:  operator_codes: [ {
      // CHECK-NEXT:    deprecated_builtin_code: 6,
      // CHECK-NEXT:    version: 1,
      // CHECK-NEXT:    builtin_code: DEQUANTIZE
      // CHECK-NEXT:  }, {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jul 14 16:41:28 UTC 2022
    - 9.1K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/tensorflow/tests/tpu_space_to_depth_pass.mlir

        %1:2 = "tf.IteratorGetNext"(%arg4) {device = "/job:localhost/replica:0/task:0/device:CPU:0"} : (tensor<*x!tf_type.resource>) -> (tensor<2x224x224x3xf32>, tensor<2x1xf32>)
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 37.4K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/quantization.mlir

    // CHECK-LABEL: main
    func.func @main(%arg0: tensor<1x224x224x3xf32>) -> tensor<1x401408xf32> {
    // CHECK:   %{{.*}} = "tfl.quantize"(%{{.*}}) <{qtype = tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>}> : (tensor<1x224x224x3xf32>) -> tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 4.3K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/depthwise_conv2d.mlir

    // RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s
    
    func.func @main(tensor<1x224x224x3xf32>) -> tensor<1x112x112x32xf32> {
    ^bb0(%arg0: tensor<1x224x224x3xf32>):
      // CHECK:      {
      // CHECK-NEXT:  version: 3,
      // CHECK-NEXT:  operator_codes: [ {
      // CHECK-NEXT:    deprecated_builtin_code: 6,
      // CHECK-NEXT:    version: 1
      // CHECK-NEXT:    builtin_code: DEQUANTIZE
      // CHECK-NEXT:  }, {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jul 14 16:41:28 UTC 2022
    - 9K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/lite/tests/quantize-numeric-verify.mlir

    ^bb0(%arg0: tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>):
      %cst = arith.constant dense<-1.23697901> : tensor<32xf32>
      %2 = "tfl.dequantize"(%arg0) : (tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>) -> tensor<1x224x224x3xf32>
      %w = arith.constant dense<-1.0> : tensor<32x3x3x3xf32>
      %3 = "tfl.quantize"(%w) {qtype = tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.1>>} : (tensor<32x3x3x3xf32>) -> tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.1>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 15.1K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/lite/tests/quantize-dynamic-range.mlir

    func.func @QuantizeConv2D(%arg0: tensor<1x224x224x3xf32>) -> tensor<1x112x112x64xf32> {
      %w = arith.constant dense<1.270000e+02> : tensor<64x3x3x3xf32>
      %b = arith.constant dense<-1.23697901> : tensor<64xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 23 21:09:00 UTC 2024
    - 23.2K bytes
    - Viewed (0)
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