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Results 1 - 10 of 145 for biases (0.22 sec)
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tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_per_channel_4bit.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_per_channel.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_without_identity.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_without_identity_4bit.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_driver.cc
GetQuantScaleSpec(user); const BiasParamsMap biases = spec->biases_params; // The quantization parameters of a `weight` shouldn't be determined by // other values. So any constants which are not bias, an operand of an // op with same scale requirements, and haven't been quantized are // weights. if (!biases.contains(operand_num) && !scale_spec->has_same_scale_requirement &&
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 38.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_utils.h
struct OpQuantSpec { // Maps the operand index of a bias input to its quantization specifications, // including the non-bias operand indexes and the method retrieving // quantization parameters from list of parameters of the non-bias operands. // This map is empty if the op doesn't have a bias operand. BiasParamsMap biases_params;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 41.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_driver.h
// constant is used by multiple ops as a bias, duplicate constants and // let each op assign its own quantization parameter for bias. // - Adds all the non-bias constants (weights) to a set for looking up // later. // - Adds all per-channel weights to a set for looking up later. void PreprocessConstantOps();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 20 11:42:17 UTC 2024 - 16.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_quantize_helper.h
// TODO(b/172517537): make this work with non-PTQ case. if (llvm::isa<func::ConstantOp, arith::ConstantOp, TFL::ConstOp>( input.getDefiningOp())) { // Tensors with derived scale are biases, and handled in propagation. if (tensor_property.use_derived_scale) continue; // For weights, use quantization scale inferred from the values. if (failed(processConstantOp(op, input.getDefiningOp(), index,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 28K bytes - Viewed (0) -
src/crypto/tls/cipher_suites.go
} // macSHA1 returns a SHA-1 based constant time MAC. func macSHA1(key []byte) hash.Hash { h := sha1.New // The BoringCrypto SHA1 does not have a constant-time // checksum function, so don't try to use it. if !boring.Enabled { h = newConstantTimeHash(h) } return hmac.New(h, key) } // macSHA256 returns a SHA-256 based MAC. This is only supported in TLS 1.2 and
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 29 17:58:53 UTC 2024 - 25.5K bytes - Viewed (0) -
docs/fr/docs/features.md
Inclus des librairies externes basées, aussi, sur Pydantic, servent d'<abbr title="Object-Relational Mapper">ORM</abbr>s, <abbr title="Object-Document Mapper">ODM</abbr>s pour les bases de données. Cela signifie aussi que, dans la plupart des cas, vous pouvez fournir l'objet reçu d'une requête **directement à la base de données**, comme tout est validé automatiquement.
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:53:19 UTC 2024 - 11.1K bytes - Viewed (0)