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Results 1 - 2 of 2 for 1x112x112x32xf32 (0.21 sec)

  1. tensorflow/compiler/mlir/lite/tests/default_quant_params.mlir

        %7 = "tfl.quantize"(%6) {qtype = tensor<1x112x112x32x!quant.uniform<u8:f32, 1.0>>} : (tensor<1x112x112x32xf32>) -> tensor<1x112x112x32x!quant.uniform<u8:f32, 1.0>>
        func.return %7 : tensor<1x112x112x32x!quant.uniform<u8:f32, 1.0>>
    
    // CHECK: %[[conv:.*]] = "tfl.conv_2d"(%arg0, %arg1, %arg2)
    // CHECK-SAME: -> tensor<1x112x112x32x!quant.uniform<u8:f32, 0.0078431372549019607:128>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 8.8K bytes
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  2. tensorflow/compiler/mlir/lite/stablehlo/tests/optimize_layout.mlir

    // CHECK-SAME:          %[[INPUT:.*]]: tensor<1x112x112x64xf32>,
    // CHECK-SAME:          %[[PAD_VAL:.*]]: tensor<f32>) -> tensor<1x64x114x114xf32> {
    // CHECK:           %[[PAD:.*]] = stablehlo.pad %[[INPUT]], %[[PAD_VAL]],
    // CHECK:               low = [0, 1, 1, 0], high = [0, 1, 1, 0], interior = [0, 0, 0, 0]
    // CHECK:               : (tensor<1x112x112x64xf32>, tensor<f32>) -> tensor<1x114x114x64xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 21:59:06 UTC 2024
    - 2.8K bytes
    - Viewed (0)
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