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Results 1 - 6 of 6 for 3x3x40x40xf32 (0.11 sec)

  2. github.com/tensorflow/tensorflow

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

      // CHECK-NEXT:  %[[v5:.*]] = mhlo.convert %arg0 : (tensor<1x300x300x40xi8>) -> tensor<1x300x300x40xf32>
  // CHECK-NEXT:  %[[v6:.*]] = mhlo.convert %arg1 : (tensor<3x3x40x40xi8>) -> tensor<3x3x40x40xf32>
  // CHECK:       %[[v7:.*]] = mhlo.convolution(%[[v5]], %[[v6]])
  // CHECK-SAME{LITERAL}:  dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f]
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Apr 06 15:32:52 UTC 2024
    - 15.8K bytes
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  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/lift_quantizable_spots_as_functions.mlir 

    func.func @conv_fn(%arg0: tensor<1x3x3x4xf32>) -> tensor<1x3x3x4xf32> {
  %0 = stablehlo.constant dense<2.000000e+00> : tensor<3x3x4x4xf32>
  %1 = stablehlo.convolution(%arg0, %0) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f], window = {pad = [[1, 1], [1, 1]]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<1x3x3x4xf32>, tensor<3x3x4x4xf32>) -> tensor<1x3x3x4xf32>
  func.return %1: tensor<1x3x3x4xf32>
}
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 49.8K bytes
    - Viewed (0)
  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/common/lift_as_function_call_test.cc 

            %0 = stablehlo.constant dense<2.000000e+00> : tensor<3x3x4x4xf32>
        %1 = stablehlo.convolution(%arg0, %0) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f], window = {pad = [[1, 1], [1, 1]]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<1x3x3x4xf32>, tensor<3x3x4x4xf32>) -> tensor<1x3x3x4xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 26.2K bytes
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  5. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir 

        %9 = stablehlo.convert %3 : (tensor<3x3x4x4xi8>) -> tensor<3x3x4x4xf32>
    %10 = stablehlo.convolution(%8, %9) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f], window = {pad = [[1, 1], [1, 1]]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<1x3x3x4xf32>, tensor<3x3x4x4xf32>) -> tensor<1x3x3x4xf32>
    %11 = stablehlo.reshape %2 : (tensor<1x1x1x1xi8>) -> tensor<1xi8>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 17:10:32 UTC 2024
    - 37K bytes
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  6. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/optimize.mlir 

      %1 = "tfl.transpose"(%0, %perm) : (tensor<1x40x40x3xf32>, tensor<4xi32>) -> tensor<1x3x40x40xf32>
  %2 = "tfl.add"(%1, %bias) {fused_activation_function = "NONE"} : (tensor<1x3x40x40xf32>, tensor<1x3x40x40xf32>) -> tensor<1x3x40x40xf32>
  func.return %2 : tensor<1x3x40x40xf32>

  // CHECK: %[[transpose:.*]] = "tfl.transpose"
  // CHECK: %[[add:.*]] = tfl.add %[[transpose]],
    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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  7. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/convert_tf_quant_to_mhlo_int_test.cc 

      ) -> tensor<3x3x10x20xf32>
  %0 = "tf.Conv2D"(%input, %filter_new) {
    Tin = "tfdtype$DT_FLOAT", Tout = "tfdtype$DT_FLOAT",
    attr_map = "", batch_group_count = 1 : i64,
    explicit_padding = [], feature_group_count = 1 : i64, lhs_dilation = [1, 1],
    padding = "SAME", rhs_dilation = [1, 1], strides = [1, 1, 1, 1]
  } : (tensor<2x10x10x10xf32>, tensor<3x3x10x20xf32>) -> tensor<2x10x10x20xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Apr 03 01:03:21 UTC 2024
    - 35.8K bytes
    - Viewed (0)
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