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tensorflow/compiler/mlir/lite/stablehlo/transforms/optimize.cc
for (int i = 0; i < low_pads.size(); ++i) { new_low_pads[i] = low_pads[i].getInt() + parent_low_pads[i].getInt(); new_high_pads[i] = high_pads[i].getInt() + parent_high_pads[i].getInt(); new_interior_pads[i] = interior_pads[i].getInt() + parent_interior_pads[i].getInt(); } // Replace pad_op with a new pad having new attributes, taking the
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 26.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/tftext_utils.cc
const std::vector<int> kValidNumOfOutput = {1, 2, 3}; if (input_type.getRank() >= kValidNumOfOutput.size()) { return func.emitError() << "Unrecognized input rank: " << input_type.getRank(); } if (func.getNumResults() != kValidNumOfOutput[input_type.getRank()]) { return func.emitError() << "Expect " << kValidNumOfOutput[input_type.getRank()] << "output(s) when input has rank " << input_type.getRank();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 14.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf_collective.cc
hlo::convertElementsAttr(group_assignment, builder.getIntegerType(64))); if (replica_groups.getType().getRank() != 2) { return op->emitOpError() << "group_assignment should have rank 2, got " << replica_groups.getType().getRank(); } return success(); } ChannelHandleAttr ConvertChannel(OpBuilder& builder, int64_t channel_id,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 16K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/transforms/device_transform_patterns.cc
} const int64_t rank = input_type.getRank(); IntegerAttr dim_int = ExtractSingleElementAsInteger(split_dim_attr); // "axis" operand could be a i64 tensor. Resolve it here. IntegerAttr dim_i32; if (failed(ConvertToI32Attr(dim_int, &dim_i32))) return failure(); int dim = dim_i32.getInt(); if (dim < 0) dim += rank;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 25.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/utils/tf_to_xla_attribute_utils.cc
for (int i : llvm::seq<int>(1, num_dims - 1)) { Value input_size_i = GetDimValue(builder, loc, input_shape_value, i); const int stride_i = mlir::cast<IntegerAttr>(strides[i]).getInt(); const int dilation_i = mlir::cast<IntegerAttr>(dilations[i]).getInt(); const int filter_i = filter_shape.getDimSize(i - 1); Value pad_i_low, pad_i_high; GetSamePaddingValues(builder, loc, input_size_i, filter_i, dilation_i,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 13.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/legalize_patterns.td
(TFL_TopKV2Op $input, $k)>; def ReductionDimensionIsLastDim : Constraint<CPred<"($0.cast<IntegerAttr>().getInt() == " "$1.getType().cast<ShapedType>().getRank() - 1 || $0.cast<IntegerAttr>().getInt() == -1)">>; // Legalizes TF_ApproxTopKOp to TFL_TopKV2Op with the following constraints: // 1. It computes max k
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 04 13:30:42 UTC 2024 - 28.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/replace_cast_hacks_with_tf_xla_ops.cc
auto input_shape = mlir::cast<ShapedType>(input.getType()); auto filter_shape = mlir::cast<ShapedType>(filter.getType()); if (!input_shape.hasRank() || input_shape.getRank() != 4 || !filter_shape.hasRank() || filter_shape.getRank() != 4) { emitError(loc, "input and filter are expected to be 4D tensors"); return {}; } const int feature_group_cnt =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 47.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/convert_tf_quant_ops_to_mhlo.cc
} const int64_t padding_nums_size = 2 * (rhs_shape.getRank() - 2); padding_nums.reserve(padding_nums_size); if (conv_padding.strref() == "EXPLICIT") { for (auto padding_elem : op.getExplicitPaddingAttr().template getAsRange<IntegerAttr>()) { padding_nums.push_back(padding_elem.getInt()); } } else if (conv_padding.strref() == "VALID") {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 30.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/utils/tf_to_uniform_attribute_utils.cc
ArrayAttr stride = mlir::dyn_cast<ArrayAttr>(identifier_to_attr["strides"]); const int stride_h = mlir::cast<IntegerAttr>(stride[1]).getInt(); const int stride_w = mlir::cast<IntegerAttr>(stride[2]).getInt(); return rewriter.getI64ArrayAttr({stride_h, stride_w}); } Attribute GetLhsDilationValue(PatternRewriter& rewriter,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 18.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/utils/tf_to_uniform_attribute_utils_test.cc
ASSERT_EQ(-2147483648, op.getLhsQuantizationMinValAttr().getInt()); ASSERT_EQ(2147483647, op.getRhsQuantizationMaxValAttr().getInt()); ASSERT_EQ(-2147483648, op.getRhsQuantizationMinValAttr().getInt()); ASSERT_EQ(2147483647, op.getOutputQuantizationMaxValAttr().getInt()); ASSERT_EQ(-2147483648, op.getOutputQuantizationMinValAttr().getInt());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Sep 11 00:47:05 UTC 2023 - 11.4K bytes - Viewed (0)