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Results 1 - 5 of 5 for depthwise_conv_2d (0.52 sec)
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tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/uniform_quantized_stablehlo_to_tfl_pass.cc
for (int k = 0; k < filter_shape[2]; ++k) { for (int l = 0; l < filter_shape[3]; ++l) { // [o, 0, 1, i] for `tfl.conv_2d` case`, // [i, 0, 1, o] for `tfl.depthwise_conv_2d` case. int old_idx = get_array_idx(filter_shape, i, j, k, l); int new_idx = is_depthwise ? get_array_idx(new_filter_shape, k, i, j, l)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 09:00:19 UTC 2024 - 99.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
); let results = (outs TFL_TensorOf<[F32, I32, I64]>:$output); let hasOptions = 1; } def TFL_DepthwiseConv2DOp : TFL_ConvOp<"depthwise_conv_2d", "Depthwise-separable convolution", 3, [DeclareOpInterfaceMethods<TFL_ArithmeticCount>, DynamicRangeQuantizedOpInterface]> { let arguments = (
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize.cc
// Returns the dimension length of the channel dimension and also the slide // size by each position in the channel dimension accordingly. tfl.conv2d and // tfl.fully_connected has heading channel dimension, but tfl.depthwise_conv2d // has tailing channel dimension. This function is to provide a utility to // create the above information from the op property. static std::pair<int64_t, int64_t> GetBiasDimAndSliceSize(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 102.3K bytes - Viewed (0)