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Results 1 - 8 of 8 for merge_outputs (0.23 sec)
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tensorflow/cc/ops/while_loop.cc
} TF_RETURN_IF_ERROR(scope.status()); std::vector<Output> merge_outputs(num_loop_vars); for (size_t i = 0; i < num_loop_vars; ++i) { TF_RETURN_IF_ERROR( CreateMerge(scope, i, enter_outputs[i], &merge_outputs[i])); } Output cond_out; TF_RETURN_IF_ERROR(CreateCond(scope, cond, merge_outputs, &cond_out)); if (cond_output != nullptr) *cond_output = cond_out;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Feb 26 01:01:21 UTC 2024 - 9.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_v3b.fbs
} // An implementation of TensorFlow bidrectional_dynamic_rnn with RNNCell. table BidirectionalSequenceRNNOptions { time_major:bool; fused_activation_function:ActivationFunctionType; merge_outputs: bool; asymmetric_quantize_inputs:bool; } enum FullyConnectedOptionsWeightsFormat: byte { DEFAULT = 0, SHUFFLED4x16INT8 = 1, }
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
} // An implementation of TensorFlow bidrectional_dynamic_rnn with RNNCell. table BidirectionalSequenceRNNOptions { time_major:bool; fused_activation_function:ActivationFunctionType; merge_outputs: bool; asymmetric_quantize_inputs:bool; } // LINT.IfChange enum FullyConnectedOptionsWeightsFormat: byte { DEFAULT = 0, SHUFFLED4x16INT8 = 1, }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 41.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_generated.h
auto _fused_activation_function = _o->fused_activation_function; auto _merge_outputs = _o->merge_outputs; auto _asymmetric_quantize_inputs = _o->asymmetric_quantize_inputs; return tflite::CreateBidirectionalSequenceRNNOptions( _fbb, _time_major, _fused_activation_function, _merge_outputs, _asymmetric_quantize_inputs); }
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/jit/build_xla_ops_pass.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 24.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
%arg26, %arg27, %arg28, %arg29, %arg30, %arg31, %arg32, %arg33, %arg34, %arg35, %arg36, %arg37, %arg38, %arg39, %arg40, %arg41, %arg42, %arg43, %arg44, %arg45, %arg46, %arg47) <{cell_clip = 1.000000e+00 : f32, fused_activation_function = "NONE", merge_outputs = true, time_major = false}> : (tensor<?x?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?xf32>, tensor<?xf32>, tensor<?xf32>, tensor<?xf32>,...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
ConfinedAttr<DefaultValuedOptionalAttr<F32Attr, "0.0f">, [TFL_FloatNonNegative]>:$cell_clip, ConfinedAttr<DefaultValuedOptionalAttr<F32Attr, "0.0f">, [TFL_FloatNonNegative]>:$proj_clip, BoolAttr:$merge_outputs, BoolAttr:$time_major, // Used in post-training dynamic range quantization. If the value is true, // input activations are asymmetrically quantized. OptionalAttr<BoolAttr>:$asymmetric_quantize_inputs
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
tensorflow/c/c_api_function_test.cc
VerifyFDefEdges(fdef, {{"feed1", "test_loop/Enter:0"}, {"test_loop/Enter:output:0", "test_loop/Merge:0"}, {"test_loop/Merge:output:0", "test_loop/Switch:0"}, {"test_loop/Switch:output_false:0", "test_loop/Exit:0"}, {"test_loop/Exit:output:0", "test_loop_exit"}}, {}, false); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 20 22:08:54 UTC 2023 - 63.6K bytes - Viewed (0)