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Results 1 - 6 of 6 for is_weight_only (0.21 sec)
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tensorflow/compiler/mlir/lite/quantization/lite/quantize_weights.h
// of the CustomOp are quantizable. 'is_weight_only' is used specify whether the // custom op is quantized only for storage and dequantized at runtime. // 'no_side_effect' is used to determine whether the op can be pruned if // considered as trivially dead. struct CustomOpInfo { std::vector<std::int32_t> quantizable_input_indices; bool is_weight_only = false; bool no_side_effect = true; };
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 4.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_weights.cc
for (const auto& entry : custom_op_map) { quant_specs.custom_map[entry.first].quantizable_input_indices = entry.second.quantizable_input_indices; quant_specs.custom_map[entry.first].is_weight_only = entry.second.is_weight_only; quant_specs.custom_map[entry.first].no_side_effect = entry.second.no_side_effect; } if (quant_specs.inference_type == tensorflow::DT_INT8)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 9.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_config.cc
std::stoi(cur_index)); } break; } case CustomOpUpdateOptions::kWeightOnly: custom_op_map[node_name].is_weight_only = GetBooleanSpecs(node_specification); break; case CustomOpUpdateOptions::kNoSideEffect: custom_op_map[node_name].no_side_effect = GetBooleanSpecs(node_specification);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 05 07:39:40 UTC 2024 - 5.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/quantize.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 13.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_config.h
namespace mlir { namespace quant { // Stores information about how to quantize a user-specified custom operation. struct CustomOpInfo { std::vector<std::int32_t> quantizable_input_indices; bool is_weight_only = false; bool no_side_effect = true; }; using CustomOpMap = std::unordered_map<std::string, CustomOpInfo>; enum CustomOpUpdateOptions { kInputIndices, kWeightOnly, kNoSideEffect };
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 13 10:16:19 UTC 2024 - 10.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_weights_test.cc
// be quantized. CustomOpMap custom_op_map; custom_op_map["CustomTestOp"] = { {1}, // quantizable_input_indices true, // is_weight_only }; flatbuffers::FlatBufferBuilder builder; auto status = QuantizeWeights(&builder, model_, 0, custom_op_map); ASSERT_EQ(status, kTfLiteOk); const uint8_t* buffer = builder.GetBufferPointer();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 32.3K bytes - Viewed (0)