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Results 1 - 5 of 5 for AddV2 (0.22 sec)
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tensorflow/c/experimental/gradients/math_grad_test.cc
ASSERT_EQ(errors::OK, status_.code()) << status_.message(); y.reset(y_raw); } // TODO(srbs): Rename ops::Add to ops::AddV2 and AddRegister to // AddV2Registerer. status_ = registry_.Register("AddV2", AddRegisterer); ASSERT_EQ(errors::OK, status_.code()) << status_.message(); ASSERT_NO_FATAL_FAILURE(CompareNumericalAndAutodiffGradients(
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Thu Apr 13 17:32:14 GMT 2023 - 16.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.h
TF_Status* s); // Create an operation suitable to use with the provided context. The operation // requires its type (e.g. "AddV2") to be set independently. TF_AbstractOp* TF_NewAbstractOp(TF_ExecutionContext* ctx); void TF_DeleteAbstractOp(TF_AbstractOp*); // TODO(srbs): Add APIs for specifying attrs etc. // `op_type` must outlive `op`.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:27:00 GMT 2021 - 7K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/math_grad.cc
#include "tensorflow/c/experimental/ops/array_ops.h" #include "tensorflow/c/experimental/ops/math_ops.h" #include "tensorflow/c/experimental/ops/nn_ops.h" using std::vector; using tensorflow::ops::AddV2; using tensorflow::ops::Div; using tensorflow::ops::DivNoNan; using tensorflow::ops::MatMul; using tensorflow::ops::Mul; using tensorflow::ops::Neg; using tensorflow::ops::OnesLike; using tensorflow::ops::SqrtGrad;
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 15.2K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.cc
TF_DeleteStatus(status); return var_handle; } TFE_Op* AddOp(TFE_Context* ctx, TFE_TensorHandle* a, TFE_TensorHandle* b) { TF_Status* status = TF_NewStatus(); TFE_Op* op = TFE_NewOp(ctx, "AddV2", status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpAddInput(op, a, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpAddInput(op, b, status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 23.5K bytes - Viewed (2) -
RELEASE.md
* Enable JIT-compiled i64-indexed kernels on GPU for large tensors with more than 2**32 elements. * Unary GPU kernels: Abs, Atanh, Acos, Acosh, Asin, Asinh, Atan, Cos, Cosh, Sin, Sinh, Tan, Tanh. * Binary GPU kernels: AddV2, Sub, Div, DivNoNan, Mul, MulNoNan, FloorDiv, Equal, NotEqual, Greater, GreaterEqual, LessEqual, Less. * `tf.lite` * Add experimental supports conversion of models that may be larger than 2GB before buffer deduplication
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8)