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Results 1 - 10 of 22 for asymmetric (0.34 sec)

  1. tensorflow/compiler/mlir/quantization/common/uniform_quantized_types.h

    // storage type. The available values use the full range of the storage value,
    // i.e. [-128, 127]. Assumes asymmetric quantization, meaning the zero point
    // value can be a non-zero value.
    // If `narrow_range` is set true (ex: for weights), a restricted range of
    // integers will be used for symmetric mapping, i.e. [-127, 127].
    UniformQuantizedType CreateI8F32UniformQuantizedType(Location loc,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 5.7K bytes
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  2. tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization.td

        there's any, and set it to True. The reason behind this decision is that
        generally activations of these ops show better accuracy with asymmetric
        input quantization so we want to deprecate symmetric activation quantization
        for those ops eventually.
        - Unlike to the old quantizer, per-channel quantization is supported for
        weight-only TransposeConvOp.
      }];
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Mar 05 07:39:40 UTC 2024
    - 8.3K bytes
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  3. tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_xla_weight_only.mlir

          attr_map = "strides:0,use_cudnn_on_gpu:1,padding:2,explicit_paddings:3,dilations:4"
        } : (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32>
        func.return %3 : tensor<*xf32>
      }
    
      // TODO(b/269387785): Support asymmetric quantization for weight with weight-only scheme.
      parameters[
        {"quantized_ops": ["MatMul"], "internal_func_name": "internal_matmul_fn"},
        {"quantized_ops": ["Conv2D"], "internal_func_name": "internal_conv2d_fn"},
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Mar 03 15:43:38 UTC 2023
    - 7K bytes
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  4. src/crypto/crypto.go

    	// the message passed to Signer.Sign, or else zero to indicate that no
    	// hashing was done.
    	HashFunc() Hash
    }
    
    // Decrypter is an interface for an opaque private key that can be used for
    // asymmetric decryption operations. An example would be an RSA key
    // kept in a hardware module.
    type Decrypter interface {
    	// Public returns the public key corresponding to the opaque,
    	// private key.
    	Public() PublicKey
    
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Fri Oct 13 17:09:47 UTC 2023
    - 6.8K bytes
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  5. src/math/big/arith_s390x_test.go

    			arg := a
    			testFunVV(t, "addVV_novec", addVV_novec, arg)
    
    			arg = argVV{a.z, a.y, a.x, a.c}
    			testFunVV(t, "addVV_novec symmetric", addVV_novec, arg)
    
    			arg = argVV{a.x, a.z, a.y, a.c}
    			testFunVV(t, "subVV_novec", subVV_novec, arg)
    
    			arg = argVV{a.y, a.z, a.x, a.c}
    			testFunVV(t, "subVV_novec symmetric", subVV_novec, arg)
    		}
    	}
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Thu Oct 19 23:33:27 UTC 2023
    - 770 bytes
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  6. src/cmd/compile/internal/types2/typeterm_test.go

    		"int ~int ~int ∅",
    		"int string int string",
    		"int ~string int ~string",
    		"int myInt int myInt",
    		"~int ~string ~int ~string",
    		"~int myInt ~int ∅",
    
    		// union is symmetric, but the result order isn't - repeat symmetric cases explicitly
    		"𝓤 ∅ 𝓤 ∅",
    		"int ∅ int ∅",
    		"~int ∅ ~int ∅",
    		"myInt ∅ myInt ∅",
    		"int 𝓤 𝓤 ∅",
    		"~int 𝓤 𝓤 ∅",
    		"myInt 𝓤 𝓤 ∅",
    		"~int int ~int ∅",
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon Dec 20 23:30:58 UTC 2021
    - 5.1K bytes
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  7. src/go/types/typeterm_test.go

    		"int ~int ~int ∅",
    		"int string int string",
    		"int ~string int ~string",
    		"int myInt int myInt",
    		"~int ~string ~int ~string",
    		"~int myInt ~int ∅",
    
    		// union is symmetric, but the result order isn't - repeat symmetric cases explicitly
    		"𝓤 ∅ 𝓤 ∅",
    		"int ∅ int ∅",
    		"~int ∅ ~int ∅",
    		"myInt ∅ myInt ∅",
    		"int 𝓤 𝓤 ∅",
    		"~int 𝓤 𝓤 ∅",
    		"myInt 𝓤 𝓤 ∅",
    		"~int int ~int ∅",
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Wed Apr 03 18:48:38 UTC 2024
    - 5.2K bytes
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  8. tensorflow/compiler/mlir/tfr/examples/pad/pad_ops_test.py

    
    class PadOpsDefsTest(test_utils.OpsDefsTest, parameterized.TestCase):
    
      @parameterized.named_parameters(('ReflectMode', 'REFLECT'),
                                      ('SymmetricMode', 'SYMMETRIC'))
      def test_mirror_pad(self, mode):
        input_ = tf.constant([[1, 2, 3], [4, 5, 6]], dtype=tf.float32)
        paddings = tf.constant([[
            1,
            1,
        ], [2, 2]])
        kwargs = {
            'input': input_,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Sep 28 21:37:05 UTC 2021
    - 3.4K bytes
    - Viewed (0)
  9. src/crypto/rsa/example_test.go

    // DecryptPKCS1v15SessionKey is designed for this situation and copies
    // the decrypted, symmetric key (if well-formed) in constant-time over
    // a buffer that contains a random key. Thus, if the RSA result isn't
    // well-formed, the implementation uses a random key in constant time.
    func ExampleDecryptPKCS1v15SessionKey() {
    	// The hybrid scheme should use at least a 16-byte symmetric key. Here
    	// we read the random key that will be used if the RSA decryption isn't
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Tue Aug 22 22:52:37 UTC 2023
    - 5.8K bytes
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  10. tensorflow/compiler/mlir/tfr/examples/pad/ops_defs.py

    flags.DEFINE_bool('gen_register_op', True,
                      'Generate register op cc file or tfr mlir file.')
    
    
    @Composite(
        'NewMirrorPad',
        inputs=['input_: T', 'paddings: Tpaddings'],
        attrs=['mode: {"REFLECT", "SYMMETRIC"}'],
        derived_attrs=['T: type', 'Tpaddings: {int32, int64} = DT_INT32'],
        outputs=['output: T'])
    def _composite_mirror_pad(input_, paddings, mode):
      shape = input_.shape.as_list()
      for i in range(len(shape)):
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Oct 01 05:00:29 UTC 2021
    - 5.6K bytes
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