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Results 1 - 3 of 3 for filter_height (0.11 sec)
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tensorflow/compiler/mlir/lite/transforms/optimize_patterns.td
def FuseActivationFuncWithAvgPool#ActFnOp#ActFnAttr : Pat< (ActFnOp (TFL_AveragePool2DOp:$pool_out $input, $filter_height, $filter_width, $padding, $stride_h, $stride_w, TFL_AF_None)), (TFL_AveragePool2DOp $input, $filter_height, $filter_width, $padding, $stride_h, $stride_w, ActFnAttr), [(HasOneUse $pool_out)]>;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 66.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir
%0 = "tfl.dequantize"(%arg0) : (tensor<1x6x6x16x!quant.uniform<u8:f32, 7.812500e-03:128>>) -> tensor<1x6x6x16xf32> %1 = "tfl.average_pool_2d"(%0) { name = "avgpool", filter_height = 3 : i32, filter_width = 6 : i32, fused_activation_function = "NONE", padding = "VALID", stride_h = 3 : i32, stride_w = 1 : i32 } : (tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32> func.return %1 : tensor<1x1x1x16xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 67.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc
/// format to TFLite DepthwiseConv2D op filter data format and return Value /// for the converted filter. TensorFlow filter data format is /// [filter_height, filter_width, in_channels, channel_multiplier] and TFLite /// filter data format is [1, filter_height, filter_width, out_channels]. /// Requires that filter is verified by the match method that it is a 4-D /// RankedTensorType.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 64.6K bytes - Viewed (0)