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Results 11 - 15 of 15 for 2x5x7x3xf32 (0.25 sec)

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

      func.return %result : tensor<10x8x24x24x64xf32>
    }
    
    // -----
    
    // CHECK-LABEL: @max_pool_grad_same
    func.func @max_pool_grad_same(%orig_input: tensor<2x13x25x7xf32>, %orig_output: tensor<2x4x7x7xf32>, %grad: tensor<2x4x7x7xf32>) -> tensor<2x13x25x7xf32> {
      // CHECK: padding = dense<{{\[\[}}0, 0], [0, 1], [1, 1], [0, 0]]> : tensor<4x2xi64>
      %result = "tf.MaxPoolGrad"(%orig_input, %orig_output, %grad) {
         data_format = "NHWC",
    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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  2. tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir

    }
    
    func.func @gatherWithBatchDims(%arg0 : tensor<2x3x6xf32>, %arg1 : tensor<2x5xi32>) -> tensor<2x5x3x6xf32> {
      %0 = "tf.Const"() { value = dense<[1]> : tensor<1xi32> } : () -> tensor<1xi32>
      %1 = "tf.GatherV2"(%arg0, %arg1, %0) {batch_dims = 1 : i64} : (tensor<2x3x6xf32>, tensor<2x5xi32>, tensor<1xi32>) -> tensor<2x5x3x6xf32>
      func.return %1 : tensor<2x5x3x6xf32>
    
    // CHECK-LABEL:gatherWithBatchDims
    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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  3. tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir

      %arg1: tensor<f32>
    ) -> tensor<2x4x3x3xf32> {
      %0 = "stablehlo.reduce_window"(%arg0, %arg1) ({
      ^bb0(%arg2: tensor<f32>, %arg3: tensor<f32>):
        %1 = stablehlo.maximum %arg2, %arg3 : tensor<f32>
        stablehlo.return %1 : tensor<f32>
      }) {window_dimensions = array<i64: 1, 3, 4, 1>, window_strides = array<i64: 1, 2, 3, 1>} : (tensor<2x9x10x3xf32>, tensor<f32>) -> tensor<2x4x3x3xf32>
      return %0 : tensor<2x4x3x3xf32>
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 17:10:32 UTC 2024
    - 106.2K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir

    // CHECK:           }) : (tensor<5x4x3x7xf32>, tensor<2x2xi32>, tensor<2x5x3xf32>) -> tensor<5x4x3x7xf32>
    // CHECK:           return %[[VAL_3]] : tensor<5x4x3x7xf32>
    // CHECK:         }
    func.func @convert_scatter_update_to_non_trailing_operand_dimensions(
      %arg0: tensor<5x4x3x7xf32>,
      %arg1: tensor<2x2xi32>,
      %arg2: tensor<2x5x3xf32>) -> tensor<5x4x3x7xf32>
    {
      %0 = "mhlo.scatter"(%arg0, %arg1, %arg2) ({
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
    - 340.2K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/lite/tests/optimize.mlir

      // CHECK: %0 = "tfl.conv_2d"(%arg0, %arg1, %cst)
    }
    
    // CHECK-LABEL: fuse4DAddIntoConv2d
    func.func @fuse4DAddIntoConv2d(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<2x3x3x3xf32>) -> tensor<256x32x32x2xf32> {
      %cst = arith.constant dense<[[[[1.0, 2.0]]]]> : tensor<1x1x1x2xf32>
      %cst_0 = arith.constant dense<[1.0, 2.0]> : tensor<2xf32>
      %0 = "tfl.conv_2d"(%arg0, %arg1, %cst_0) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 284.1K bytes
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