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Results 1 - 10 of 16 for 1x32x32x128xf32 (0.28 sec)

  1. tensorflow/compiler/mlir/lite/stablehlo/tests/odml-to-stablehlo-smuggle-resize.mlir

          // CHECK-OPT: %{{.*}} = stablehlo.custom_call @tf.ResizeBilinear(%arg0, %cst) {align_corners = false, device = "", half_pixel_centers = true} : (tensor<1x32x32x128xf32>, tensor<2xi32>) -> tensor<1x64x64x128xf32>
          %1 = "tf.ResizeBilinear"(%arg0, %0) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sun Apr 14 18:33:43 UTC 2024
    - 1.4K bytes
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  2. tensorflow/compiler/mlir/lite/tests/decompose-hybrid-quantization.mlir

      func.return %2 : tensor<1x32x32x16xf32>
    }
    
    // -----
    
    // CHECK-LABEL: @test_conv3d_float
    func.func @test_conv3d_float(%arg0: tensor<1x32x32x32x8xf32>) -> tensor<1x32x32x32x16xf32> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 13.1K bytes
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  3. tensorflow/compiler/mlir/lite/tests/quantize-dynamic-range.mlir

      %w = arith.constant dense<127.0> : tensor<1x32x42x128xf32>
      %b = arith.constant dense<0.0> : tensor<1x32x42x128xf32>
      %tconv = "tfl.transpose_conv"(%arg1, %w, %arg0, %b) {padding = "SAME", stride_h = 2 : i32, stride_w = 2 : i32, fused_activation_function = "NONE"} : (tensor<4xi32>, tensor<1x32x42x128xf32>, tensor<32x4x4x128xf32>, tensor<1x32x42x128xf32>) -> tensor<1x32x42x128xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 23 21:09:00 UTC 2024
    - 23.2K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/lite/stablehlo/tests/tf-tfl-translate-serialize-stablehlo-resize-bilinear.mlir

    
    module {
    func.func @main(%arg0: tensor<21x32x32x128xf32>, %arg1: tensor<2xi32>) -> tensor<1x64x64x128xf32> {
      %0 = "tf.ResizeBilinear"(%arg0, %arg1) {align_corners = false, device = "", half_pixel_centers = true} : (tensor<21x32x32x128xf32>, tensor<2xi32>) -> tensor<1x64x64x128xf32>
      func.return %0 : tensor<1x64x64x128xf32>
    }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Mar 02 06:04:37 UTC 2023
    - 455 bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/lite/tests/ops.mlir

        "tfl.yield"(%4, %5, %6, %7) : (tensor<1x32x32x32xf32>, tensor<1x32x32x32xf32>, tensor<1x32x32x32xf32>, tensor<1x32x32x32xf32>) -> ()
      }) : (tensor<1x64x64x32xf32>, tensor<1x64x64x32xf32>, tensor<1x64x64x32xf32>) -> (tensor<1x32x32x32xf32>, tensor<1x32x32x32xf32>, tensor<1x32x32x32xf32>, tensor<1x32x32x32xf32>)
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 19:09:08 UTC 2024
    - 189.2K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/custom_op.mlir

    func.func @main(%arg0: tensor<32x4x4x128xf32>, %arg1: tensor<1x32x42x128xf32>, %arg2: tensor<4xi32>) -> tensor<1x64x84x32xf32> {
      %0 = "tfl.custom"(%arg0, %arg1, %arg2) {custom_code = "Convolution2DTransposeBias", custom_option = #tfl<const_bytes : "0x010000000200000002000000">} : (tensor<32x4x4x128xf32>, tensor<1x32x42x128xf32>, tensor<4xi32>) -> tensor<1x64x84x32xf32>
      func.return %0 : tensor<1x64x84x32xf32>
    }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 827 bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/custom_op_offset.mlir

    func.func @main(%arg0: tensor<32x4x4x128xf32>, %arg1: tensor<1x32x42x128xf32>, %arg2: tensor<4xi32>) -> tensor<1x64x84x32xf32> {
      %0 = "tfl.custom"(%arg0, %arg1, %arg2) {custom_code = "Convolution2DTransposeBias", custom_option = #tfl<const_bytes : "0x010000000200000002000000">} : (tensor<32x4x4x128xf32>, tensor<1x32x42x128xf32>, tensor<4xi32>) -> tensor<1x64x84x32xf32>
      func.return %0 : tensor<1x64x84x32xf32>
    }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 847 bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/transpose_conv_optional.mlir

    // RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s
    
    func.func @main(%arg0: tensor<4xi32>, %arg1: tensor<32x4x4x128xf32>, %arg2: tensor<1x32x42x128xf32>) -> tensor<1x64x84x32xf32> {
    // CHECK: {
    // CHECK-NEXT:  version: 3,
    // CHECK-NEXT:  operator_codes: [ {
    // CHECK-NEXT:    deprecated_builtin_code: 67,
    // CHECK-NEXT:    version: 1,
    // CHECK-NEXT:    builtin_code: TRANSPOSE_CONV
    // CHECK-NEXT:  } ],
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Dec 14 04:58:17 UTC 2022
    - 2.8K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_to_nchw.mlir

          strides = [1, 1, 1, 1],
          dilations = [1, 1, 1, 1]
        } : (tensor<1x32x32x3xf32>, tensor<1x1x3x8xf32>) -> tensor<1x32x32x8xf32>
    
      // Convert result back: NHWC -> NCHW
      %3 = "tf.Const"() {value = dense<[0, 3, 1, 2]> : tensor<4xi32>} : () -> tensor<4xi32>
      %4 = "tf.Transpose"(%2, %3) : (tensor<1x32x32x8xf32>, tensor<4xi32>) -> tensor<1x8x32x32xf32>
    
      // Check that Conv2D computed in NCHW format, and all redundant transpose
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Mar 24 05:47:26 UTC 2022
    - 1.3K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/lite/tests/prepare-quantize-signed.mlir

      %w = arith.constant dense<127.0> : tensor<1x32x42x128xf32>
      %b = arith.constant dense<0.0> : tensor<1x32x42x128xf32>
      %tc = "tfl.transpose_conv"(%arg1, %w, %arg0, %b) {padding = "SAME", stride_h = 2 : i32, stride_w = 2 : i32, fused_activation_function = "NONE"} : (tensor<4xi32>, tensor<1x32x42x128xf32>, tensor<32x4x4x128xf32>, tensor<1x32x42x128xf32>) -> tensor<1x32x42x128xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 18.4K bytes
    - Viewed (0)
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