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Results 1 - 3 of 3 for rhs_dilation (0.95 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.cc
} else { dim->set_padding_low(0); dim->set_padding_high(0); } if (!lhs_dilation.empty()) { dim->set_base_dilation(lhs_dilation[i]); } else { dim->set_base_dilation(1); } if (!rhs_dilation.empty()) { dim->set_window_dilation(rhs_dilation[i]); } else { dim->set_window_dilation(1); } dim->set_window_reversal(false); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jun 08 07:28:49 UTC 2024 - 134.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_export.cc
mlir::cast<mlir::vhlo::TensorV1Attr>(vhlo_op.getPadding()), vhlo_type_converter)); auto lhs_dialation = builder_.CreateVector(mlir::GetVector<int64_t>( mlir::cast<mlir::vhlo::TensorV1Attr>(vhlo_op.getLhsDilation()), vhlo_type_converter)); auto rhs_dialation = builder_.CreateVector(mlir::GetVector<int64_t>( mlir::cast<mlir::vhlo::TensorV1Attr>(vhlo_op.getRhsDilation()),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
%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, window_strides = array<i64: 1, 1>, lhs_dilation = array<i64: 3, 3>} : (tensor<1x5x5x2x!quant.uniform<i8:f32, 2.000000e+00:0>>, tensor<2x2x2x4x!quant.uniform<i8:f32:3, {3.000000e+00, 3.000000e+00, 3.000000e+00, 3.000000e+00}>>) -> tensor<1x14x14x4x!quant.uniform<i32:f32:3, {6.000000e+00, 6.000000e+00,...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0)