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Results 71 - 80 of 270 for getFlow (0.27 sec)

  1. tensorflow/compiler/mlir/tensorflow/transforms/tpu_resource_partitioning.cc

            cluster_func->getLoc(), partitioned_output_types, result,
            partitioned_input.getPartitionDimsAttr(),
            partitioned_input.get_XlaShardingAttr());
        for (auto [i, value] : llvm::enumerate(partitioned_output.getOutput())) {
          const auto& resource = packed_input ? inputs[0] : inputs[i];
          builder.create<TF::AssignVariableOp>(
              assign_var->getLoc(), /*resource=*/resource, /*value=*/value);
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Sep 06 19:12:29 UTC 2023
    - 11.8K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_utils.h

            maxs.push_back(rmax);
          }
          quant_type = quantfork::fakeQuantAttrsToType(
              op.getLoc(), num_bits, *op.getAxis(), mins, maxs, narrow_range,
              expressed, is_signed);
          if (legacy_float_scale) {
            quant_type = DownCastScale(quant_type, mins, maxs, op->getLoc());
          }
        } else if (auto stats =
                       op.getLayerStats().dyn_cast<DenseFPElementsAttr>()) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Apr 24 20:30:06 UTC 2024
    - 41.7K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/tensorflow/transforms/freeze_saved_model_assets.cc

          ShapedType shaped_type =
              RankedTensorType::get({1}, TF::StringType::get(builder.getContext()));
          auto const_op = builder.create<TF::ConstOp>(
              asset.getLoc(),
              DenseStringElementsAttr::get(shaped_type, {filename}));
          for (auto init_op : init_table_from_text_file_ops_to_erase) {
            // Replace the InitializeTableFromTextFileV2Op to use the saved model's
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Jan 30 01:12:09 UTC 2023
    - 4.3K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/lite/experimental/tac/transforms/device_transform.cc

                mlir::quant::QuantizedType::castToExpressedType(input_type);
            builder->setInsertionPoint(op);
            auto dequantize_op = builder->create<TFL::DequantizeOp>(
                op->getLoc(), dequantized_input_type, input.get());
            dequantized_inputs.push_back(dequantize_op);
          } else {
            dequantized_inputs.push_back(input.get());
          }
        }
    
        // Result types.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 8.4K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/quantization/stablehlo/passes/quantize_weight.cc

          rewriter.setInsertionPointAfter(op);
          // create new F16 constant op in that location
          ConstantOp new_const = rewriter.create<ConstantOp>(
              op->getLoc(), new_result_type, new_value_attr);
          ConvertOp dcast =
              rewriter.create<ConvertOp>(op->getLoc(), old_result_type, new_const);
          // replace all convert ops with dq op.
          convert_op->replaceAllUsesWith(dcast);
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 9.9K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/tensorflow/transforms/prepare_tpu_computation_for_tf_export.cc

          auto dynamic_key =
              rewriter.create<TF::_XlaCompileMlirPlaceholderProgramKeyOp>(
                  func.getLoc(), /*program=*/result_type, llvm::ArrayRef<Value>{});
    
          auto recv_at_host = rewriter.create<TF::_XlaRecvAtHostOp>(
              func.getLoc(), op.getOperandTypes(), /*dynamic_key=*/dynamic_key,
              op.getSendKeyAttr(),
              /*device_ordinal=*/rewriter.getI64IntegerAttr(0),
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 11.8K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/lite/stablehlo/transforms/unfold_splat_constant_pass.cc

            mlir::isa<quant::QuantizedType>(element_type)) {
          return;
        }
        op_builder->setInsertionPoint(const_op);
        Value scalar = op_builder->create<mhlo::ConstantOp>(
            const_op->getLoc(),
            DenseElementsAttr::get(
                RankedTensorType::get(/*shape=*/{}, element_type),
                splat_elements_attr.getSplatValue<Attribute>()));
        auto broadcast_dims = DenseIntElementsAttr::get(
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 3.8K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/tensorflow/transforms/xla_rewrite.cc

        BlockArgument param = callee.getArgument(i);
        if (mlir::isa<TF::ResourceType>(getElementTypeOrSelf(param.getType()))) {
          removed_params.set(i);
          callee.getBody().addArgument(param.getType(), param.getLoc());
          param.replaceAllUsesWith(callee.getArguments().back());
          removed_params.push_back(false);
        }
      }
      // Remove old resource-type parameters.
      callee.getBody().front().eraseArguments(removed_params);
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 4.2K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/quantization/tensorflow/passes/quantize.cc

        auto fcast_op = rewriter.create<TF::CastOp>(
            preceding_sc_op->getLoc(), dq_arg_type.clone(rewriter.getF32Type()),
            preceding_sc_op.getResult());
    
        // Create a new AvgPool op with float type.
        TF::AvgPoolOp float_avg_pool_op = rewriter.create<TF::AvgPoolOp>(
            avg_pool_op->getLoc(),
            avg_pool_op.getType().clone(rewriter.getF32Type()),
            /*operands=*/fcast_op.getResult(),
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Mar 22 05:52:39 UTC 2024
    - 23.6K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/op_or_arg_name_mapper.cc

        auto name_from_loc = mlir::GetNameFromLoc(op->getLoc());
        if (!name_from_loc.empty()) return name_from_loc;
        // If the location is none of the expected types, then simply use name
        // generated using the op type.
        return std::string(op->getName().getStringRef());
      }
      auto val = op_or_val.dyn_cast<mlir::Value>();
      auto name_from_loc = mlir::GetNameFromLoc(val.getLoc());
      if (!name_from_loc.empty()) return name_from_loc;
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 5.7K bytes
    - Viewed (0)
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