/dports/science/pybrain/pybrain-0.3.3/pybrain/structure/connections/ |
H A D | permutation.py | 18 if self.indim != self.outdim: 20 self.indim, self.outdim)) 21 if len(permutation) * blocksize != self.indim: 24 (self.indim // blocksize), len(permutation))) 31 inbuf = inbuf.reshape(self.indim // self.blocksize, self.blocksize) 33 inbuf.shape = self.indim, 37 outerr = outerr.reshape(self.indim // self.blocksize, self.blocksize) 39 outerr.shape = self.indim,
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H A D | fullnotself.py | 17 assert self.indim == self.outdim, \ 19 self.indim, self.outdim) 22 p = reshape(self.params, (self.outdim, self.indim)) * (1-eye(self.outdim)) 26 p = reshape(self.params, (self.outdim, self.indim)) * (1-eye(self.outdim))
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H A D | full.py | 16 ParameterContainer.__init__(self, self.indim*self.outdim) 19 outbuf += dot(reshape(self.params, (self.outdim, self.indim)), inbuf) 22 inerr += dot(reshape(self.params, (self.outdim, self.indim)).T, outerr)
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H A D | identity.py | 12 assert self.indim == self.outdim, \ 14 self.indim, self.outdim)
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/dports/science/pybrain/pybrain-0.3.3/pybrain/structure/ |
H A D | moduleslice.py | 19 inSliceTo = self.base.indim + base.inSliceFrom 28 inSliceTo = self.base.indim 33 self.indim = inSliceTo - inSliceFrom 35 self.name += ('-slice:('+str(self.inOffset)+','+str(self.indim+self.inOffset)+')(' 38 assert self.indim+self.outdim < base.indim+base.outdim
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/dports/science/pybrain/pybrain-0.3.3/pybrain/structure/modules/ |
H A D | evolinonetwork.py | 21 indim = 0 22 Module.__init__(self, indim, outdim) 25 self._in_layer = LinearLayer(indim + outdim) 79 assert len(input) == self._network.indim 156 for i in range(c.indim): 157 idx = i + cell_idx * c.indim + t * layer.outdim * c.indim 179 for i in range(c.indim): 180 idx = i + cell_idx * c.indim + t * layer.outdim * c.indim 196 return reshape(p, (c.outdim, c.indim))
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H A D | gate.py | 64 dim = self.indim // 2 69 dim = self.indim // 2 90 outbuf[:self.indim] += sigmoid(inbuf) 91 outbuf[self.indim:] += 1 - sigmoid(inbuf) 94 inerr += sigmoidPrime(inbuf) * outerr[:self.indim] 95 inerr -= sigmoidPrime(inbuf) * outerr[self.indim:]
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H A D | module.py | 33 def __init__(self, indim, outdim, name=None, **args): argument 43 self.bufferlist += [('inputbuffer', indim), 44 ('inputerror', indim), 48 self.indim = indim
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H A D | mdrnnlayer.py | 81 self.indim = reduce(operator.mul, shape, 1) 83 self.sequenceLength = self.indim // self.blocksize 88 Module.__init__(self, self.indim, self.outdim, name=name) 120 self.inlayer = LinearLayer(self.indim)
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/dports/science/pybrain/pybrain-0.3.3/pybrain/auxiliary/ |
H A D | gaussprocess.py | 21 def __init__(self, indim, start=0, stop=1, step=0.1): argument 34 self.indim = indim 35 self.trainx = zeros((0, indim), float) 57 dimstr = 'start:stop:step, '*self.indim 72 self.trainx = zeros((0, self.indim), float) 80 assert (dataset.getDimension('input') == self.indim) 91 assert (dataset.getDimension('input') == self.indim) 160 if self.indim == 1: 178 elif self.indim == 2 and not force2D: 193 elif self.indim == 2 and force2D: [all …]
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/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/src/relay/op/tensor/ |
H A D | reduce.cc | 53 std::vector<int64_t> r_axes(indim); in GetReduceAxes() 62 axis = axis + indim; in GetReduceAxes() 71 CHECK(in_axes[in_axes.size() - 1] < indim) in GetReduceAxes() 80 auto r_size = indim - in_axes.size(); in GetReduceAxes() 82 for (uint32_t i = 0, j = 0, k = 0; i < indim; ++i) { in GetReduceAxes() 95 std::vector<bool> axis_flag(indim, true); in GetExcludeAxes() 99 axis = axis + static_cast<int64_t>(indim); in GetExcludeAxes() 131 uint32_t indim = old_in_shapes[0].size(); in ReduceInferCorrectLayout() local 206 uint32_t indim = in_shape.size(); in ReduceShapeImpl() local 231 for (unsigned i = 0, j = 0; i < indim; ++i) { in ReduceShapeImpl() [all …]
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/dports/misc/tvm/incubator-tvm-0.6.1/src/relay/op/tensor/ |
H A D | reduce.cc | 50 std::vector<int64_t> r_axes(indim); in GetReduceAxes() 59 axis = axis + indim; in GetReduceAxes() 65 CHECK(axis < indim) in GetReduceAxes() 70 CHECK(in_axes[in_axes.size() - 1] < indim) in GetReduceAxes() 72 << " exceeds input dimensions " << indim; in GetReduceAxes() 80 auto r_size = indim - in_axes.size(); in GetReduceAxes() 94 Array<Integer> GetExcludeAxes(size_t indim, in GetExcludeAxes() argument 97 std::vector<bool> axis_flag(indim, true); in GetExcludeAxes() 130 uint32_t indim = old_in_shapes[0].size(); in ReduceInferCorrectLayout() local 206 uint32_t indim = in_shape.size(); in ReduceShapeImpl() local [all …]
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/dports/misc/py-tvm/incubator-tvm-0.6.1/src/relay/op/tensor/ |
H A D | reduce.cc | 50 std::vector<int64_t> r_axes(indim); in GetReduceAxes() 59 axis = axis + indim; in GetReduceAxes() 65 CHECK(axis < indim) in GetReduceAxes() 70 CHECK(in_axes[in_axes.size() - 1] < indim) in GetReduceAxes() 72 << " exceeds input dimensions " << indim; in GetReduceAxes() 80 auto r_size = indim - in_axes.size(); in GetReduceAxes() 94 Array<Integer> GetExcludeAxes(size_t indim, in GetExcludeAxes() argument 97 std::vector<bool> axis_flag(indim, true); in GetExcludeAxes() 130 uint32_t indim = old_in_shapes[0].size(); in ReduceInferCorrectLayout() local 206 uint32_t indim = in_shape.size(); in ReduceShapeImpl() local [all …]
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/dports/misc/tvm/incubator-tvm-0.6.1/nnvm/src/top/tensor/ |
H A D | reduce.cc | 47 inline TShape GetReduceAxes(const uint32_t indim, in GetReduceAxes() argument 51 TShape r_axes(indim); in GetReduceAxes() 56 CHECK_LT(axis[axis.ndim() - 1], indim) in GetReduceAxes() 58 << " exceeds input dimensions " << indim; in GetReduceAxes() 62 i = i < 0 ? i + indim : i; in GetReduceAxes() 68 TShape r_axis(indim - in_axis.ndim()); in GetReduceAxes() 83 uint32_t indim = ishape.ndim(); in ReduceShapeImpl() local 86 if (r_axes.ndim() == indim) in ReduceShapeImpl() 87 return TShape(keepdims ? indim : 1); in ReduceShapeImpl() 89 CHECK(r_axes.ndim() < indim); in ReduceShapeImpl() [all …]
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/dports/misc/py-tvm/incubator-tvm-0.6.1/nnvm/src/top/tensor/ |
H A D | reduce.cc | 47 inline TShape GetReduceAxes(const uint32_t indim, in GetReduceAxes() argument 51 TShape r_axes(indim); in GetReduceAxes() 56 CHECK_LT(axis[axis.ndim() - 1], indim) in GetReduceAxes() 58 << " exceeds input dimensions " << indim; in GetReduceAxes() 62 i = i < 0 ? i + indim : i; in GetReduceAxes() 68 TShape r_axis(indim - in_axis.ndim()); in GetReduceAxes() 83 uint32_t indim = ishape.ndim(); in ReduceShapeImpl() local 86 if (r_axes.ndim() == indim) in ReduceShapeImpl() 87 return TShape(keepdims ? indim : 1); in ReduceShapeImpl() 89 CHECK(r_axes.ndim() < indim); in ReduceShapeImpl() [all …]
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/dports/science/pybrain/pybrain-0.3.3/pybrain/rl/agents/ |
H A D | logging.py | 23 def __init__(self, indim, outdim, **kwargs): argument 27 self.indim = indim 31 self.history = ReinforcementDataSet(indim, outdim)
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/dports/science/pybrain/pybrain-0.3.3/pybrain/structure/networks/ |
H A D | feedforward.py | 26 m.inputbuffer[offset] = inbuf[index:index + m.indim] 27 index += m.indim 54 inerr[index:index + m.indim] = m.inputerror[offset] 55 index += m.indim
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H A D | mdrnn.py | 34 self.indim = reduce(operator.mul, shape, 1) 36 self.sequenceLength = self.indim // self.blocksize 55 inlayer = self.inlayerclass(self.indim) 119 res.shape = self.outsize, self.indim
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H A D | network.py | 246 self.indim = int(sum(m.indim for m in self.inmodules)) 249 self.indim = 0 251 self.indim += m.indim 258 Module.__init__(self, self.indim, self.outdim, name=self.name)
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/dports/graphics/openshadinglanguage/OpenShadingLanguage-Release-1.11.15.0/src/liboslnoise/ |
H A D | oslnoise_test.cpp | 42 for (int indim = 1; indim <= 4; ++indim) { \ 51 if (indim == 1) \ 53 else if (indim == 2) \ 55 else if (indim == 3) \ 61 if (indim == 1) \ 63 else if (indim == 2) \ 65 else if (indim == 3) \ 76 img.write (Strutil::sprintf ("osl_%s_%d_%d.tif", #noisename, outdim, indim)); \
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/dports/graphics/py-openshadinglanguage/OpenShadingLanguage-Release-1.11.15.0/src/liboslnoise/ |
H A D | oslnoise_test.cpp | 42 for (int indim = 1; indim <= 4; ++indim) { \ 51 if (indim == 1) \ 53 else if (indim == 2) \ 55 else if (indim == 3) \ 61 if (indim == 1) \ 63 else if (indim == 2) \ 65 else if (indim == 3) \ 76 img.write (Strutil::sprintf ("osl_%s_%d_%d.tif", #noisename, outdim, indim)); \
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/dports/science/pybrain/pybrain-0.3.3/pybrain/tests/ |
H A D | helpers.py | 30 d = SequentialDataSet(module.indim, module.outdim) 34 d.addSample(randn(module.indim), randn(module.outdim)) 36 d = SupervisedDataSet(module.indim, module.outdim) 38 d.addSample(randn(module.indim), randn(module.outdim)) 96 inp = randn(net2.indim)
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/dports/science/pybrain/pybrain-0.3.3/pybrain/supervised/evolino/ |
H A D | networkwrapper.py | 15 def __init__(self, indim, outdim, hiddim=6): argument 16 Module.__init__(self, indim, outdim) 19 self._in_layer = LinearLayer(indim + outdim) 46 assert self.indim == len(input[0]) 68 assert len(input) == self._network.indim 75 assert len(input) == self.indim 147 if self.indim > 0: 253 return reshape(p, (c.outdim, c.indim)) 449 return reshape(p, (c.outdim, c.indim))
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/dports/science/dynare/dynare-4.6.4/dynare++/integ/testing/ |
H A D | tests.cc | 68 if (point.length() != indim() || out.length() != outdim()) in eval() 102 if (point.length() != indim() || out.length() != outdim()) in eval() 123 : VectorFunction(f.indim(), f.outdim()), dim(f.dim) in Function1() 176 out.mult(pow(0.5, indim())); in eval() 322 SmolyakQuadrature quad(func.indim(), level, glq); in smolyak_product_cube() 331 ProductQuadrature quad(func.indim(), glq); in smolyak_product_cube() 350 QMCarloCubeQuadrature qmc(func.indim(), level, wps); in qmc_cube() 359 QMCarloCubeQuadrature qmc(func.indim(), level, rps); in qmc_cube() 368 QMCarloCubeQuadrature qmc(func.indim(), level, ips); in qmc_cube()
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/dports/science/PETSc/petsc-3.14.1/src/dm/impls/da/usfft/ |
H A D | matusfft.c | 134 ierr = PetscFree(usfft->indim);CHKERRQ(ierr); 193 ierr = PetscMalloc1(usfft->ndim+1,&usfft->indim);CHKERRQ(ierr); 194 for (i = usfft->ndim; i > 0; --i) usfft->indim[usfft->ndim-i] = dim[i-1]; 220 …if (usfft->indim[i] <= 0) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_USER,"indim[%d]=%d must be > 0",i,usf… 222 n *= usfft->indim[i];
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