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eve::tensor::TF 成员列表
成员的完整列表，这些成员属于 eve::tensor::TF,包括所有继承而来的类成员
| abs(Tensor *a) | eve::tensor::TF | |
| add(Tensor *a, Tensor *b) | eve::tensor::TF | |
| addScalar(Tensor *a, float s) | eve::tensor::TF | |
| arange(int n) | eve::tensor::TF | |
| argmax(Tensor *a, int axis, int keepDims) | eve::tensor::TF | |
| avgpool2d(Tensor *x, int ksize, int stride, int pad) | eve::tensor::TF | |
| cast(Tensor *a, const std::string &dtype) | eve::tensor::TF | |
| clamp(Tensor *a, float lo, float hi) | eve::tensor::TF | |
| concat2(Tensor *a, Tensor *b, int axis) | eve::tensor::TF | |
| concat3(Tensor *a, Tensor *b, Tensor *c, int axis) | eve::tensor::TF | |
| concat4(Tensor *a, Tensor *b, Tensor *c, Tensor *d, int axis) | eve::tensor::TF | |
| concatN(Tensor *const *ins, int n, int axis) | eve::tensor::TF | |
| constantScalar(float value) | eve::tensor::TF | |
| conv1d(Tensor *x, Tensor *w, int stride, int pad) | eve::tensor::TF | |
| conv1dBias(Tensor *x, Tensor *w, Tensor *bias, int stride, int pad) | eve::tensor::TF | |
| conv2d(Tensor *x, Tensor *w, int stride, int pad) | eve::tensor::TF | |
| conv2dBias(Tensor *x, Tensor *w, Tensor *bias, int stride, int pad) | eve::tensor::TF | |
| cos(Tensor *a) | eve::tensor::TF | |
| div(Tensor *a, Tensor *b) | eve::tensor::TF | |
| divScalar(Tensor *a, float s) | eve::tensor::TF | |
| embedding(Tensor *table, Tensor *indices) | eve::tensor::TF | |
| exp(Tensor *a) | eve::tensor::TF | |
| eye(int n) | eve::tensor::TF | |
| fill1(int d0, float value) | eve::tensor::TF | |
| fill2(int d0, int d1, float value) | eve::tensor::TF | |
| fill3(int d0, int d1, int d2, float value) | eve::tensor::TF | |
| fill4(int d0, int d1, int d2, int d3, float value) | eve::tensor::TF | |
| flatten(Tensor *a) | eve::tensor::TF | |
| func() | eve::tensor::TF | |
| gelu(Tensor *a) | eve::tensor::TF | |
| getName() const =0 | eve::Module | pure virtual |
| getRandomSeed() const | eve::tensor::TF | |
| layernorm(Tensor *a, float eps) | eve::tensor::TF | |
| layernormWB(Tensor *a, Tensor *scale, Tensor *bias, float eps) | eve::tensor::TF | |
| linspace(float start, float end, int n) | eve::tensor::TF | |
| log(Tensor *a) | eve::tensor::TF | |
| logSoftmax(Tensor *a, int axis) | eve::tensor::TF | |
| matmul(Tensor *a, Tensor *b) | eve::tensor::TF | |
| maxAxis(Tensor *a, int axis, int keepDims) | eve::tensor::TF | |
| maximumScalar(Tensor *a, float s) | eve::tensor::TF | |
| maxpool2d(Tensor *x, int ksize, int stride, int pad) | eve::tensor::TF | |
| meanAxis(Tensor *a, int axis, int keepDims) | eve::tensor::TF | |
| minAxis(Tensor *a, int axis, int keepDims) | eve::tensor::TF | |
| minimumScalar(Tensor *a, float s) | eve::tensor::TF | |
| Module_REG(TF) | eve::tensor::TF | |
| mulScalar(Tensor *a, float s) | eve::tensor::TF | |
| multiply(Tensor *a, Tensor *b) | eve::tensor::TF | |
| neg(Tensor *a) | eve::tensor::TF | |
| ones1(int d0) | eve::tensor::TF | |
| ones2(int d0, int d1) | eve::tensor::TF | |
| ones3(int d0, int d1, int d2) | eve::tensor::TF | |
| ones4(int d0, int d1, int d2, int d3) | eve::tensor::TF | |
| ones5(int d0, int d1, int d2, int d3, int d4) | eve::tensor::TF | |
| ones6(int d0, int d1, int d2, int d3, int d4, int d5) | eve::tensor::TF | |
| permute2(Tensor *a, int a0, int a1) | eve::tensor::TF | |
| permute3(Tensor *a, int a0, int a1, int a2) | eve::tensor::TF | |
| permute4(Tensor *a, int a0, int a1, int a2, int a3) | eve::tensor::TF | |
| permute5(Tensor *a, int a0, int a1, int a2, int a3, int a4) | eve::tensor::TF | |
| permute6(Tensor *a, int a0, int a1, int a2, int a3, int a4, int a5) | eve::tensor::TF | |
| popTrace(Func *f) | eve::tensor::TF | |
| powScalar(Tensor *a, float exp) | eve::tensor::TF | |
| pushTrace(Func *f) | eve::tensor::TF | |
| quantizeWeight(Tensor *a, const std::string &dtype, int group=0) | eve::tensor::TF | |
| rand1(int d0) | eve::tensor::TF | inline |
| rand2(int d0, int d1) | eve::tensor::TF | inline |
| rand3(int d0, int d1, int d2) | eve::tensor::TF | inline |
| rand4(int d0, int d1, int d2, int d3) | eve::tensor::TF | inline |
| randn1(int d0) | eve::tensor::TF | inline |
| randn2(int d0, int d1) | eve::tensor::TF | inline |
| randn3(int d0, int d1, int d2) | eve::tensor::TF | inline |
| randn4(int d0, int d1, int d2, int d3) | eve::tensor::TF | inline |
| randomNormal1(int d0) | eve::tensor::TF | |
| randomNormal2(int d0, int d1) | eve::tensor::TF | |
| randomNormal3(int d0, int d1, int d2) | eve::tensor::TF | |
| randomNormal4(int d0, int d1, int d2, int d3) | eve::tensor::TF | |
| randomUniform1(int d0) | eve::tensor::TF | |
| randomUniform2(int d0, int d1) | eve::tensor::TF | |
| randomUniform3(int d0, int d1, int d2) | eve::tensor::TF | |
| randomUniform4(int d0, int d1, int d2, int d3) | eve::tensor::TF | |
| reduceMax(Tensor *a) | eve::tensor::TF | |
| reduceMean(Tensor *a) | eve::tensor::TF | |
| reduceMin(Tensor *a) | eve::tensor::TF | |
| reduceSum(Tensor *a) | eve::tensor::TF | |
| relu(Tensor *a) | eve::tensor::TF | |
| reshape1(Tensor *a, int d0) | eve::tensor::TF | |
| reshape2(Tensor *a, int d0, int d1) | eve::tensor::TF | |
| reshape3(Tensor *a, int d0, int d1, int d2) | eve::tensor::TF | |
| reshape4(Tensor *a, int d0, int d1, int d2, int d3) | eve::tensor::TF | |
| reshape5(Tensor *a, int d0, int d1, int d2, int d3, int d4) | eve::tensor::TF | |
| reshape6(Tensor *a, int d0, int d1, int d2, int d3, int d4, int d5) | eve::tensor::TF | |
| resize2d(Tensor *a, int outW, int outH, int mode) | eve::tensor::TF | |
| rmsnorm(Tensor *a, float eps) | eve::tensor::TF | |
| rmsnormW(Tensor *a, Tensor *scale, float eps) | eve::tensor::TF | |
| sdpa(Tensor *q, Tensor *k, Tensor *v, float scale) | eve::tensor::TF | |
| sdpaMasked(Tensor *q, Tensor *k, Tensor *v, Tensor *mask, float scale) | eve::tensor::TF | |
| setRandomSeed(uint32_t seed) | eve::tensor::TF | |
| sigmoid(Tensor *a) | eve::tensor::TF | |
| silu(Tensor *a) | eve::tensor::TF | |
| sin(Tensor *a) | eve::tensor::TF | |
| slice(Tensor *a, int axis, int begin, int end) | eve::tensor::TF | |
| softmax(Tensor *a, int axis) | eve::tensor::TF | |
| sqrt(Tensor *a) | eve::tensor::TF | |
| sub(Tensor *a, Tensor *b) | eve::tensor::TF | |
| subScalar(Tensor *a, float s) | eve::tensor::TF | |
| sumAxis(Tensor *a, int axis, int keepDims) | eve::tensor::TF | |
| tanh(Tensor *a) | eve::tensor::TF | |
| TF() | eve::tensor::TF | |
| tracing() const | eve::tensor::TF | |
| transpose(Tensor *a) | eve::tensor::TF | |
| where(Tensor *cond, Tensor *a, Tensor *b) | eve::tensor::TF | |
| zeros1(int d0) | eve::tensor::TF | |
| zeros2(int d0, int d1) | eve::tensor::TF | |
| zeros3(int d0, int d1, int d2) | eve::tensor::TF | |
| zeros4(int d0, int d1, int d2, int d3) | eve::tensor::TF | |
| zeros5(int d0, int d1, int d2, int d3, int d4) | eve::tensor::TF | |
| zeros6(int d0, int d1, int d2, int d3, int d4, int d5) | eve::tensor::TF | |
| ~Module() | eve::Module | inlinevirtual |
| ~TF() override=default | eve::tensor::TF |