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Results 1 - 6 of 6 for QuantizationParameters (0.21 sec)
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tensorflow/compiler/mlir/quantization/stablehlo/quantization_config.proto
optional int32 dimension = 1; } // Signals quantization type to be per-tensor. message PerTensor {} // Corresponds to StableHLO's `QuantizedTensorElementType`. Type parameters such // as `QuantizationParameters` is omitted because they are determined during // quantization. // See https://github.com/openxla/stablehlo/blob/main/docs/spec.md#types for // details. //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 14.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_export.cc
std::optional<BufferOffset<tflite::Tensor>> BuildTensor( Value value, const std::string& name, unsigned buffer_idx, const std::optional<BufferOffset<tflite::QuantizationParameters>>& quant_parameters); // TODO(b/137395003): Legalize tf.IfOp to TFLite dialect, and change the // following method to handle TFL::IfOp. BufferOffset<tflite::Operator> BuildIfOperator(
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/schema/schema_generated.h
struct QuantizationParametersBuilder { typedef QuantizationParameters Table; ::flatbuffers::FlatBufferBuilder &fbb_; ::flatbuffers::uoffset_t start_; void add_min(::flatbuffers::Offset<::flatbuffers::Vector<float>> min) { fbb_.AddOffset(QuantizationParameters::VT_MIN, min); } void add_max(::flatbuffers::Offset<::flatbuffers::Vector<float>> max) { fbb_.AddOffset(QuantizationParameters::VT_MAX, max); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 1M bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_model_test.cc
} template <typename T> std::vector<T> GetAsVector(const flatbuffers::Vector<T>* vec) { return std::vector<T>(vec->begin(), vec->end()); } void VerifyQuantizationScale( const QuantizationParameters& float_quant_params, const QuantizationParametersT& quantized_quant_params, const int bit_num, const bool symmetric) { const float eps = 1e-7; ASSERT_THAT(*float_quant_params.min(), SizeIs(1));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 73.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_v3b.fbs
} // Represents a specific quantization technique's parameters. union QuantizationDetails { CustomQuantization, } // Parameters for converting a quantized tensor back to float. table QuantizationParameters { // These four parameters are the asymmetric linear quantization parameters. // Given a quantized value q, the corresponding float value f should be: // f = scale * (q - zero_point)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 14:28:27 UTC 2024 - 30K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema.fbs
} // Represents a specific quantization technique's parameters. union QuantizationDetails { CustomQuantization, } // Parameters for converting a quantized tensor back to float. table QuantizationParameters { // These four parameters are the asymmetric linear quantization parameters. // Given a quantized value q, the corresponding float value f should be: // f = scale * (q - zero_point)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 41.7K bytes - Viewed (0)