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Results 51 - 60 of 595 for weights (0.2 sec)
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tensorflow/compiler/mlir/lite/utils/const_tensor_utils.cc
} storage_type = mlir::cast<mlir::IntegerType>(raw_elem_type); } // TFlite uses narrow-range [u]int8 for constant buffers of quantized weights. // Since we don't know which ones are weights, we represent this optimization // as a change in the storage bounds for the type for all constants of this // type. const int bitwidth = storage_type.getIntOrFloatBitWidth();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 07 23:04:40 UTC 2024 - 16.6K bytes - Viewed (0) -
pkg/scheduler/apis/config/types_pluginargs.go
// Type selects which strategy to run. Type ScoringStrategyType // Resources to consider when scoring. // The default resource set includes "cpu" and "memory" with an equal weight. // Allowed weights go from 1 to 100. // Weight defaults to 1 if not specified or explicitly set to 0. Resources []ResourceSpec // Arguments specific to RequestedToCapacityRatio strategy.
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Fri Jan 13 23:15:53 UTC 2023 - 8.4K bytes - Viewed (0) -
pilot/pkg/networking/core/networkfilter_test.go
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Wed Apr 17 22:20:44 UTC 2024 - 25.8K bytes - Viewed (0) -
src/cmd/vendor/golang.org/x/text/language/parse.go
continue } entry, weight := split(entry, ';') // Scan the language. t, err := Parse(entry) if err != nil { id, ok := acceptFallback[entry] if !ok { return nil, nil, err } t = makeTag(language.Tag{LangID: id}) } // Scan the optional weight. w := 1.0 if weight != "" { weight = consume(weight, 'q') weight = consume(weight, '=')
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Jan 24 13:01:26 UTC 2024 - 7.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/prepare_quantize_drq.cc
OpSet op_set_; Option<bool> enable_per_channel_quantization_{ *this, "enable-per-channel-quantization", llvm::cl::init(false), llvm::cl::desc("Whether enable per-channel quantized weights.")}; }; // If the weight is applicable to dynamic range quantization, insert Quantize // and Dequantize ops with per-tensor scale. class PrepareDRQQuantizableOp : public OpRewritePattern<arith::ConstantOp> { public:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_v3b.fbs
SPARSE = 1, DENSE = 2, } table LSHProjectionOptions { type: LSHProjectionType; } table SVDFOptions { rank:int; fused_activation_function:ActivationFunctionType; // For weights-only quantization, use asymmetric quantization for non // constant inputs at evaluation time. asymmetric_quantize_inputs:bool; } // An implementation of TensorFlow RNNCell. table RNNOptions {
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/tests/optimize.mlir
// NoFusing-LABEL: FuseMulWithFullyConnectedNoBias // NoFusing-DAG: %[[MWEIGHTS:.*]] = arith.constant dense<2.000000e+00> : tensor<512xf32> // NoFusing-DAG: %[[WEIGHTS:.*]] = arith.constant dense<3.000000e+00> : tensor<1024x512xf32> // NoFusing-DAG: %[[BIAS:.*]] = "tfl.no_value"() <{value}> : () -> none
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
pkg/test/loadbalancersim/lb_test.go
wg := sync.WaitGroup{} clientLatencies := make([]timeseries.Data, len(s.mesh.Clients())) for i, client := range s.mesh.Clients() { i := i client := client wg.Add(1) go func() { // Assign weights to the endpoints. var conns []*loadbalancer.WeightedConnection for _, n := range s.mesh.Nodes() { conns = append(conns, s.newWeightedConnection(client, n)) } // Create a load balancer
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Thu May 19 23:29:30 UTC 2022 - 11K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tf_to_tfl_flatbuffer.cc
&q_builder, input_model, quantized_type, use_updated_hybrid_scheme, ::tflite::optimize::QuantizerType::OLD_QUANTIZER) != kTfLiteOk) { return absl::InvalidArgumentError( "Quantize weights transformation failed."); } const uint8_t* q_buffer = q_builder.GetBufferPointer(); *result = std::string(reinterpret_cast<const char*>(q_buffer), q_builder.GetSize()); return absl::OkStatus(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 23.8K bytes - Viewed (0) -
tensorflow/c/kernels_experimental.h
// This is a helper function which acquires mutexes in-order to provide // thread-safe way of performing weights update during the optimizer op. It // returns an opaque LockHolder handle back to plugin. This handle is passed to // the Release API for releasing the locks when the weight update is done. The // caller takes ownership of the `source` and `dest` tensors and is responsible // for freeing them with TF_DeleteTensor.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 07 14:44:39 UTC 2023 - 9.4K bytes - Viewed (0)