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Results 1 - 3 of 3 for numeric_verify (1.46 sec)
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tensorflow/compiler/mlir/lite/flatbuffer_export.cc
// The first operand is the quantized activation, the target of this // NumericVerify op. auto quantized_op_val = inst.getOperands().front(); tensor_name = "NumericVerify/" + UniqueName(quantized_op_val) + ":" + std::to_string(tensor_index_map[quantized_op_val]); } if (!build_tensor_and_buffer(val, index, tensor_name))
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/quantization/lite/quantize_model.h
// // Returns a partially quantized model if `fully_quantize` is false. Returns a // non-OK status if the quantization fails. // // When `verify_numeric` is true, the model will have it's original float ops // and NumericVerify ops to compare output values from the quantized and float // ops. // // When `legacy_float_scale` is true, the quantizer will use float scale instead
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
TFL_I64Tensor:$index ); } def TFL_NumericVerifyOp : Op<TFL_Dialect, "NumericVerify", [ QuantizableResult, SameOperandsShape, DeclareOpInterfaceMethods<TFL_RuntimeVerification>]> { let summary = "Verifies the numericals of the two operands"; let description = [{ The NumericVerify op is a debugging op to verify the numericals of the two activations. It is a custom op in TFLite.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0)