Functions 605
abs_
functionFull reference ↗- tensorplay.functional.abs_(input)[source]
abs
functionFull reference ↗- tensorplay.functional.abs(input, *, out=None)[source]
absolute
functionFull reference ↗- tensorplay.functional.absolute(input, *, out=None)[source]
acos_
functionFull reference ↗- tensorplay.functional.acos_(input)[source]
acos
functionFull reference ↗- tensorplay.functional.acos(input, *, out=None)[source]
acosh_
functionFull reference ↗- tensorplay.functional.acosh_(input)[source]
acosh
functionFull reference ↗- tensorplay.functional.acosh(input, *, out=None)[source]
adaptive_avg_pool1d
functionFull reference ↗- tensorplay.functional.adaptive_avg_pool1d(input, output_size)[source]
adaptive_max_pool1d
functionFull reference ↗- tensorplay.functional.adaptive_max_pool1d(input, output_size)[source]
add
functionFull reference ↗- tensorplay.functional.add(input, other, *, alpha=1, out=None)[source]
addbmm
functionFull reference ↗- tensorplay.functional.addbmm(input, batch1, batch2, *, beta=1, alpha=1, out=None)[source]
addcdiv
functionFull reference ↗- tensorplay.functional.addcdiv(input, tensor1, tensor2, *, value=1, out=None)[source]
addcmul
functionFull reference ↗- tensorplay.functional.addcmul(input, tensor1, tensor2, *, value=1, out=None)[source]
addmm
functionFull reference ↗- tensorplay.functional.addmm(input, mat1, mat2, beta=1, alpha=1)[source]
addmv_
functionFull reference ↗- tensorplay.functional.addmv_(input, mat, vec, beta=1, alpha=1)[source]
addmv
functionFull reference ↗- tensorplay.functional.addmv(input, mat, vec, *, beta=1, alpha=1, out=None)[source]
addr
functionFull reference ↗- tensorplay.functional.addr(input, vec1, vec2, *, beta=1, alpha=1, out=None)[source]
adjoint
functionFull reference ↗- tensorplay.functional.adjoint(input)[source]
affine_grid_generator
functionFull reference ↗- tensorplay.functional.affine_grid_generator(theta, size, align_corners)[source]
airy_ai
functionFull reference ↗- tensorplay.functional.airy_ai(input)[source]
alias_copy
functionFull reference ↗- tensorplay.functional.alias_copy(input)[source]
all
functionFull reference ↗- tensorplay.functional.all(input, dim=None, keepdim=False)[source]
allclose
functionFull reference ↗- tensorplay.functional.allclose(input, other, rtol=1e-05, atol=1e-08, equal_nan=False)[source]
alpha_dropout_
functionFull reference ↗- tensorplay.functional.alpha_dropout_(input, p=0.5, train=True)[source]
alpha_dropout
functionFull reference ↗- tensorplay.functional.alpha_dropout(input, p=0.5, train=True)[source]
amax
functionFull reference ↗- tensorplay.functional.amax(input, dim=[], keepdim=False, *, out=None)[source]
amin
functionFull reference ↗- tensorplay.functional.amin(input, dim=[], keepdim=False, *, out=None)[source]
aminmax
functionFull reference ↗- tensorplay.functional.aminmax(input, dim=[], keepdim=False, *, out=None)[source]
angle
functionFull reference ↗- tensorplay.functional.angle(input, *, out=None)[source]
any
functionFull reference ↗- tensorplay.functional.any(input, dim=None, keepdim=False)[source]
arange
functionFull reference ↗- tensorplay.functional.arange(*args, dtype=<DType.undefined: 22>, device=None, requires_grad=False)[source]
arccos_
functionFull reference ↗- tensorplay.functional.arccos_(input)[source]
arccos
functionFull reference ↗- tensorplay.functional.arccos(input, *, out=None)[source]
arccosh_
functionFull reference ↗- tensorplay.functional.arccosh_(input)[source]
arccosh
functionFull reference ↗- tensorplay.functional.arccosh(input, *, out=None)[source]
arcsin_
functionFull reference ↗- tensorplay.functional.arcsin_(input)[source]
arcsin
functionFull reference ↗- tensorplay.functional.arcsin(input, *, out=None)[source]
arcsinh_
functionFull reference ↗- tensorplay.functional.arcsinh_(input)[source]
arcsinh
functionFull reference ↗- tensorplay.functional.arcsinh(input, *, out=None)[source]
arctan_
functionFull reference ↗- tensorplay.functional.arctan_(input)[source]
arctan
functionFull reference ↗- tensorplay.functional.arctan(input, *, out=None)[source]
arctan2
functionFull reference ↗- tensorplay.functional.arctan2(input, other, *, out=None)[source]
arctanh_
functionFull reference ↗- tensorplay.functional.arctanh_(input)[source]
arctanh
functionFull reference ↗- tensorplay.functional.arctanh(input, *, out=None)[source]
argmax
functionFull reference ↗- tensorplay.functional.argmax(input, dim=None, keepdim=False, *, out=None)[source]
argmin
functionFull reference ↗- tensorplay.functional.argmin(input, dim=None, keepdim=False, *, out=None)[source]
argsort
functionFull reference ↗- tensorplay.functional.argsort(input, dim=-1, descending=False, *, stable=<object object>, out=None)[source]
argwhere
functionFull reference ↗- tensorplay.functional.argwhere(input)[source]
as_strided_
functionFull reference ↗- tensorplay.functional.as_strided_(input, size, stride, storage_offset=None)[source]
as_strided_copy
functionFull reference ↗- tensorplay.functional.as_strided_copy(input, size, stride, storage_offset=None)[source]
as_strided_scatter
functionFull reference ↗- tensorplay.functional.as_strided_scatter(input, src, size, stride, storage_offset=None)[source]
as_strided
functionFull reference ↗- tensorplay.functional.as_strided(input, size, stride, storage_offset=None)[source]
asin_
functionFull reference ↗- tensorplay.functional.asin_(input)[source]
asin
functionFull reference ↗- tensorplay.functional.asin(input, *, out=None)[source]
asinh_
functionFull reference ↗- tensorplay.functional.asinh_(input)[source]
asinh
functionFull reference ↗- tensorplay.functional.asinh(input, *, out=None)[source]
atan_
functionFull reference ↗- tensorplay.functional.atan_(input)[source]
atan
functionFull reference ↗- tensorplay.functional.atan(input, *, out=None)[source]
atan2
functionFull reference ↗- tensorplay.functional.atan2(input, other, *, out=None)[source]
atanh_
functionFull reference ↗- tensorplay.functional.atanh_(input)[source]
atanh
functionFull reference ↗- tensorplay.functional.atanh(input, *, out=None)[source]
atleast_1d
functionFull reference ↗- tensorplay.functional.atleast_1d(*args)[source]
atleast_2d
functionFull reference ↗- tensorplay.functional.atleast_2d(*args)[source]
atleast_3d
functionFull reference ↗- tensorplay.functional.atleast_3d(*args)[source]
avg_pool1d
functionFull reference ↗- tensorplay.functional.avg_pool1d(input, kernel_size, stride=[], padding=0, ceil_mode=False, count_include_pad=True)[source]
baddbmm
functionFull reference ↗- tensorplay.functional.baddbmm(input, batch1, batch2, *, beta=1, alpha=1, out=None)[source]
bartlett_window
functionFull reference ↗- tensorplay.functional.bartlett_window(window_length, periodic=True, dtype=None)[source]
batch_norm_backward_elemt
functionFull reference ↗- tensorplay.functional.batch_norm_backward_elemt(grad_out, input, mean, invstd, weight, sum_dy, sum_dy_xmu, count)[source]
batch_norm_backward_reduce
functionFull reference ↗- tensorplay.functional.batch_norm_backward_reduce(grad_out, input, mean, invstd, weight, input_g, weight_g, bias_g)[source]
batch_norm_elemt
functionFull reference ↗- tensorplay.functional.batch_norm_elemt(input, weight, bias, mean, invstd, eps, *, out=None)[source]
batch_norm_gather_stats_with_counts
functionFull reference ↗- tensorplay.functional.batch_norm_gather_stats_with_counts(input, mean, invstd, running_mean, running_var, momentum, eps, counts)[source]
batch_norm_gather_stats
functionFull reference ↗- tensorplay.functional.batch_norm_gather_stats(input, mean, invstd, running_mean, running_var, momentum, eps, count)[source]
batch_norm_stats
functionFull reference ↗- tensorplay.functional.batch_norm_stats(input, eps)[source]
batch_norm_update_stats
functionFull reference ↗- tensorplay.functional.batch_norm_update_stats(input, running_mean, running_var, momentum)[source]
bernoulli
functionFull reference ↗- tensorplay.functional.bernoulli(input, p=<object object>, *, generator=None, out=None)[source]
bessel_j0
functionFull reference ↗- tensorplay.functional.bessel_j0(input)[source]
bessel_j1
functionFull reference ↗- tensorplay.functional.bessel_j1(input)[source]
bessel_y0
functionFull reference ↗- tensorplay.functional.bessel_y0(input)[source]
bessel_y1
functionFull reference ↗- tensorplay.functional.bessel_y1(input)[source]
bilinear
functionFull reference ↗- tensorplay.functional.bilinear(input1, input2, weight, bias=None)[source]
bincount
functionFull reference ↗- tensorplay.functional.bincount(input, weights=None, minlength=0)[source]
binomial
functionFull reference ↗- tensorplay.functional.binomial(count, prob, generator=None)[source]
bitwise_and
functionFull reference ↗- tensorplay.functional.bitwise_and(input, other, *, out=None)[source]
bitwise_left_shift
functionFull reference ↗- tensorplay.functional.bitwise_left_shift(input, other, *, out=None)[source]
bitwise_not
functionFull reference ↗- tensorplay.functional.bitwise_not(input, *, out=None)[source]
bitwise_or
functionFull reference ↗- tensorplay.functional.bitwise_or(input, other, *, out=None)[source]
bitwise_right_shift
functionFull reference ↗- tensorplay.functional.bitwise_right_shift(input, other, *, out=None)[source]
bitwise_xor
functionFull reference ↗- tensorplay.functional.bitwise_xor(input, other, *, out=None)[source]
blackman_window
functionFull reference ↗- tensorplay.functional.blackman_window(window_length, periodic=True, dtype=None)[source]
bmm
functionFull reference ↗- tensorplay.functional.bmm(input, mat2, *, out=None)[source]
broadcast_to
functionFull reference ↗- tensorplay.functional.broadcast_to(input, size)[source]
bucketize
functionFull reference ↗- tensorplay.functional.bucketize(input, boundaries, *, out_int32=False, right=False, out=None)[source]
can_cast
functionFull reference ↗- tensorplay.functional.can_cast(from_, to)[source]
cartesian_prod
functionFull reference ↗- tensorplay.functional.cartesian_prod(*args)[source]
cat
functionFull reference ↗- tensorplay.functional.cat(tensors, dim=0, *, out=None)[source]
ccol_indices_copy
functionFull reference ↗- tensorplay.functional.ccol_indices_copy(input)[source]
cdist
functionFull reference ↗- tensorplay.functional.cdist(x1, x2, p=2, compute_mode=None)[source]
ceil_
functionFull reference ↗- tensorplay.functional.ceil_(input)[source]
ceil
functionFull reference ↗- tensorplay.functional.ceil(input, *, out=None)[source]
celu_
functionFull reference ↗- tensorplay.functional.celu_(input, alpha=1.0)[source]
chain_matmul
functionFull reference ↗- tensorplay.functional.chain_matmul(*args)[source]
channel_shuffle
functionFull reference ↗- tensorplay.functional.channel_shuffle(input, groups)[source]
chebyshev_polynomial_t
functionFull reference ↗- tensorplay.functional.chebyshev_polynomial_t(x, n)[source]
chebyshev_polynomial_u
functionFull reference ↗- tensorplay.functional.chebyshev_polynomial_u(x, n)[source]
chebyshev_polynomial_v
functionFull reference ↗- tensorplay.functional.chebyshev_polynomial_v(x, n)[source]
chebyshev_polynomial_w
functionFull reference ↗- tensorplay.functional.chebyshev_polynomial_w(x, n)[source]
cholesky_inverse
functionFull reference ↗- tensorplay.functional.cholesky_inverse(input, upper=False, *, out=None)[source]
cholesky_solve
functionFull reference ↗- tensorplay.functional.cholesky_solve(input, input2, upper=False, *, out=None)[source]
choose_qparams_optimized
functionFull reference ↗- tensorplay.functional.choose_qparams_optimized(input, numel, n_bins, ratio, bit_width)[source]
chunk
functionFull reference ↗- tensorplay.functional.chunk(input, chunks, dim=0)[source]
clamp_
functionFull reference ↗- tensorplay.functional.clamp_(input, min=None, max=None)[source]
clamp_max_
functionFull reference ↗- tensorplay.functional.clamp_max_(input, max)[source]
clamp_min_
functionFull reference ↗- tensorplay.functional.clamp_min_(input, min)[source]
clamp
functionFull reference ↗- tensorplay.functional.clamp(input, min=None, max=None, *, out=None)[source]
clip_
functionFull reference ↗- tensorplay.functional.clip_(input, min=None, max=None)[source]
clip
functionFull reference ↗- tensorplay.functional.clip(input, min=None, max=None, *, out=None)[source]
clone
functionFull reference ↗- tensorplay.functional.clone(input, memory_format=None)[source]
col_indices_copy
functionFull reference ↗- tensorplay.functional.col_indices_copy(input)[source]
column_stack
functionFull reference ↗- tensorplay.functional.column_stack(*args)[source]
combinations
functionFull reference ↗- tensorplay.functional.combinations(input, r=2, with_replacement=False)[source]
complex
functionFull reference ↗- tensorplay.functional.complex(real, imag, *, out=None)[source]
concat
functionFull reference ↗- tensorplay.functional.concat(tensors, dim=0, *, out=None)[source]
concatenate
functionFull reference ↗- tensorplay.functional.concatenate(tensors, dim=0, *, out=None)[source]
conj_physical_
functionFull reference ↗- tensorplay.functional.conj_physical_(input)[source]
conj_physical
functionFull reference ↗- tensorplay.functional.conj_physical(input, *, out=None)[source]
conj
functionFull reference ↗- tensorplay.functional.conj(input)[source]
conv_tbc
functionFull reference ↗- tensorplay.functional.conv_tbc(input, weight, bias, pad=0)[source]
conv_transpose1d
functionFull reference ↗- tensorplay.functional.conv_transpose1d(input, weight, bias=None, stride=[], padding=[], output_padding=[], groups=1, dilation=[])[source]
conv_transpose2d
functionFull reference ↗- tensorplay.functional.conv_transpose2d(input, weight, bias=None, stride=[1, 1], padding=[0, 0], output_padding=[0, 0], groups=1, dilation=[1, 1])[source]
conv_transpose3d
functionFull reference ↗- tensorplay.functional.conv_transpose3d(input, weight, bias=None, stride=[1, 1, 1], padding=[0, 0, 0], output_padding=[0, 0, 0], groups=1, dilation=[1, 1, 1])[source]
conv1d
functionFull reference ↗- tensorplay.functional.conv1d(input, weight, bias=None, stride=[1], padding=[0], dilation=[1], groups=1)[source]
conv3d
functionFull reference ↗- tensorplay.functional.conv3d(input, weight, bias=None, stride=[1, 1, 1], padding=[0, 0, 0], dilation=[1, 1, 1], groups=1)[source]
convolution
functionFull reference ↗- tensorplay.functional.convolution(input, weight, bias, stride, padding, dilation, transposed, output_padding, groups)[source]
copysign
functionFull reference ↗- tensorplay.functional.copysign(input, other)[source]
corrcoef
functionFull reference ↗- tensorplay.functional.corrcoef(input)[source]
cos_
functionFull reference ↗- tensorplay.functional.cos_(input)[source]
cos
functionFull reference ↗- tensorplay.functional.cos(input, *, out=None)[source]
cosh_
functionFull reference ↗- tensorplay.functional.cosh_(input)[source]
cosh
functionFull reference ↗- tensorplay.functional.cosh(input, *, out=None)[source]
cosine_embedding_loss
functionFull reference ↗- tensorplay.functional.cosine_embedding_loss(x1, x2, target, margin=0)[source]
cosine_similarity
functionFull reference ↗- tensorplay.functional.cosine_similarity(x1, x2, dim=1, eps=1e-08)[source]
count_nonzero
functionFull reference ↗- tensorplay.functional.count_nonzero(input, dim=[])[source]
cov
functionFull reference ↗- tensorplay.functional.cov(input, correction=1, fweights=None, aweights=None)[source]
cross
functionFull reference ↗- tensorplay.functional.cross(input, other, dim=None, *, out=None)[source]
crow_indices_copy
functionFull reference ↗- tensorplay.functional.crow_indices_copy(input)[source]
ctc_loss
functionFull reference ↗- tensorplay.functional.ctc_loss(log_probs, targets, input_lengths, target_lengths, blank=0, reduction=1, zero_infinity=False)[source]
cudnn_affine_grid_generator
functionFull reference ↗- tensorplay.functional.cudnn_affine_grid_generator(theta, N, C, H, W)[source]
cudnn_batch_norm
functionFull reference ↗- tensorplay.functional.cudnn_batch_norm(input, weight, bias, running_mean, running_var, training, exponential_average_factor, epsilon, *, out=None)[source]
cudnn_convolution_add_relu
functionFull reference ↗- tensorplay.functional.cudnn_convolution_add_relu(input, weight, z, alpha, bias, stride, padding, dilation, groups)[source]
cudnn_convolution_relu
functionFull reference ↗- tensorplay.functional.cudnn_convolution_relu(input, weight, bias, stride, padding, dilation, groups)[source]
cudnn_convolution_transpose
functionFull reference ↗- tensorplay.functional.cudnn_convolution_transpose(input, weight, padding, output_padding, stride, dilation, groups, benchmark, deterministic, allow_tf32)[source]
cudnn_convolution
functionFull reference ↗- tensorplay.functional.cudnn_convolution(input, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32, *, out=None)[source]
cudnn_grid_sampler
functionFull reference ↗- tensorplay.functional.cudnn_grid_sampler(input, grid)[source]
cudnn_is_acceptable
functionFull reference ↗- tensorplay.functional.cudnn_is_acceptable(input)[source]
cummax
functionFull reference ↗- tensorplay.functional.cummax(input, dim, *, out=None)[source]
cummin
functionFull reference ↗- tensorplay.functional.cummin(input, dim, *, out=None)[source]
cumprod
functionFull reference ↗- tensorplay.functional.cumprod(input, dim, dtype=None, *, out=None)[source]
cumsum
functionFull reference ↗- tensorplay.functional.cumsum(input, dim=0, dtype=None, *, out=None)[source]
cumulative_trapezoid
functionFull reference ↗- tensorplay.functional.cumulative_trapezoid(y, x=None, dx=1, dim=-1)[source]
deg2rad_
functionFull reference ↗- tensorplay.functional.deg2rad_(input)[source]
deg2rad
functionFull reference ↗- tensorplay.functional.deg2rad(input, *, out=None)[source]
dequantize
functionFull reference ↗- tensorplay.functional.dequantize(*args)[source]
det
functionFull reference ↗- tensorplay.functional.det(input)[source]
detach_
functionFull reference ↗- tensorplay.functional.detach_(input)[source]
detach_copy
functionFull reference ↗- tensorplay.functional.detach_copy(input)[source]
detach
functionFull reference ↗- tensorplay.functional.detach(input)[source]
diag_embed
functionFull reference ↗- tensorplay.functional.diag_embed(input, offset=0, dim1=-2, dim2=-1)[source]
diag
functionFull reference ↗- tensorplay.functional.diag(input, diagonal=0, *, out=None)[source]
diagflat
functionFull reference ↗- tensorplay.functional.diagflat(input, offset=0)[source]
diagonal_copy
functionFull reference ↗- tensorplay.functional.diagonal_copy(input, offset=0, dim1=0, dim2=1)[source]
diagonal_scatter
functionFull reference ↗- tensorplay.functional.diagonal_scatter(input, src, offset=0, dim1=0, dim2=1)[source]
diagonal
functionFull reference ↗- tensorplay.functional.diagonal(input, offset=0, dim1=0, dim2=1)[source]
diff
functionFull reference ↗- tensorplay.functional.diff(input, n=1, dim=-1, prepend=None, append=None, *, out=None)[source]
digamma
functionFull reference ↗- tensorplay.functional.digamma(input, *, out=None)[source]
dist
functionFull reference ↗- tensorplay.functional.dist(input, other, p=2)[source]
div
functionFull reference ↗- tensorplay.functional.div(input, other, rounding_mode=None)[source]
divide
functionFull reference ↗- tensorplay.functional.divide(input, other, rounding_mode=None)[source]
dot
functionFull reference ↗- tensorplay.functional.dot(input, tensor, *, out=None)[source]
dropout_
functionFull reference ↗- tensorplay.functional.dropout_(input, p=0.5, train=True)[source]
dsplit
functionFull reference ↗- tensorplay.functional.dsplit(input, sections)[source]
dstack
functionFull reference ↗- tensorplay.functional.dstack(*args)[source]
embedding_renorm_
functionFull reference ↗- tensorplay.functional.embedding_renorm_(input, indices, max_norm, norm_type)[source]
embedding
functionFull reference ↗- tensorplay.functional.embedding(weight, indices, padding_idx=-1, scale_grad_by_freq=False, sparse=False)[source]
empty_like
functionFull reference ↗- tensorplay.functional.empty_like(input, dtype=<DType.undefined: 22>, device=None, requires_grad=False)[source]
empty_permuted
functionFull reference ↗- tensorplay.functional.empty_permuted(size, physical_layout, dtype=None, layout=None, device=None, pin_memory=None)[source]
empty_quantized
functionFull reference ↗- tensorplay.functional.empty_quantized(size, qtensor, dtype=None, layout=None, device=None, pin_memory=None, memory_format=None)[source]
empty_strided
functionFull reference ↗- tensorplay.functional.empty_strided(size, stride, dtype=None, device=None, pin_memory=False)[source]
entr
functionFull reference ↗- tensorplay.functional.entr(input)[source]
eq
functionFull reference ↗- tensorplay.functional.eq(input, other, *, out=None)[source]
equal
functionFull reference ↗- tensorplay.functional.equal(input, other)[source]
erf_
functionFull reference ↗- tensorplay.functional.erf_(input)[source]
erf
functionFull reference ↗- tensorplay.functional.erf(input, *, out=None)[source]
erfc_
functionFull reference ↗- tensorplay.functional.erfc_(input)[source]
erfc
functionFull reference ↗- tensorplay.functional.erfc(input, *, out=None)[source]
erfcx
functionFull reference ↗- tensorplay.functional.erfcx(input)[source]
erfinv
functionFull reference ↗- tensorplay.functional.erfinv(input, *, out=None)[source]
exp_
functionFull reference ↗- tensorplay.functional.exp_(input)[source]
exp
functionFull reference ↗- tensorplay.functional.exp(input, *, out=None)[source]
exp2_
functionFull reference ↗- tensorplay.functional.exp2_(input)[source]
exp2
functionFull reference ↗- tensorplay.functional.exp2(input, *, out=None)[source]
expand_copy
functionFull reference ↗- tensorplay.functional.expand_copy(input, size, implicit=False)[source]
expm1_
functionFull reference ↗- tensorplay.functional.expm1_(input)[source]
expm1
functionFull reference ↗- tensorplay.functional.expm1(input, *, out=None)[source]
eye
functionFull reference ↗- tensorplay.functional.eye(n, m=-1, *, dtype=<DType.float32: 8>, device=None, requires_grad=False, out=None)[source]
fake_quantize_per_channel_affine
functionFull reference ↗- tensorplay.functional.fake_quantize_per_channel_affine(input, scale, zero_point, axis, quant_min, quant_max)[source]
fake_quantize_per_tensor_affine
functionFull reference ↗- tensorplay.functional.fake_quantize_per_tensor_affine(input, scale, zero_point, quant_min, quant_max)[source]
fbgemm_linear_fp16_weight_fp32_activation
functionFull reference ↗- tensorplay.functional.fbgemm_linear_fp16_weight_fp32_activation(input, packed_weight, bias, *, out=None)[source]
fbgemm_linear_fp16_weight
functionFull reference ↗- tensorplay.functional.fbgemm_linear_fp16_weight(input, packed_weight, bias, *, out=None)[source]
fbgemm_linear_int8_weight_fp32_activation
functionFull reference ↗- tensorplay.functional.fbgemm_linear_int8_weight_fp32_activation(input, weight, packed, col_offsets, weight_scale, weight_zero_point, bias)[source]
fbgemm_linear_int8_weight
functionFull reference ↗- tensorplay.functional.fbgemm_linear_int8_weight(input, weight, packed, col_offsets, weight_scale, weight_zero_point, bias)[source]
fbgemm_linear_quantize_weight
functionFull reference ↗- tensorplay.functional.fbgemm_linear_quantize_weight(input)[source]
fbgemm_pack_gemm_matrix_fp16
functionFull reference ↗- tensorplay.functional.fbgemm_pack_gemm_matrix_fp16(input)[source]
fbgemm_pack_quantized_matrix
functionFull reference ↗- tensorplay.functional.fbgemm_pack_quantized_matrix(input, K=None, N=None)[source]
feature_alpha_dropout_
functionFull reference ↗- tensorplay.functional.feature_alpha_dropout_(input, p=0.5, train=True)[source]
feature_alpha_dropout
functionFull reference ↗- tensorplay.functional.feature_alpha_dropout(input, p=0.5, train=True)[source]
feature_dropout_
functionFull reference ↗- tensorplay.functional.feature_dropout_(input, p=0.5, train=True)[source]
feature_dropout
functionFull reference ↗- tensorplay.functional.feature_dropout(input, p=0.5, train=True)[source]
fill_
functionFull reference ↗- tensorplay.functional.fill_(input, value)[source]
fill
functionFull reference ↗- tensorplay.functional.fill(input, value)[source]
fix_
functionFull reference ↗- tensorplay.functional.fix_(input)[source]
fix
functionFull reference ↗- tensorplay.functional.fix(input, *, out=None)[source]
flatten
functionFull reference ↗- tensorplay.functional.flatten(input, start_dim=0, end_dim=-1)[source]
flip
functionFull reference ↗- tensorplay.functional.flip(input, dims=[])[source]
fliplr
functionFull reference ↗- tensorplay.functional.fliplr(input)[source]
flipud
functionFull reference ↗- tensorplay.functional.flipud(input)[source]
float_power
functionFull reference ↗- tensorplay.functional.float_power(input, exponent, *, out=None)[source]
floor_
functionFull reference ↗- tensorplay.functional.floor_(input)[source]
floor_divide
functionFull reference ↗- tensorplay.functional.floor_divide(input, other)[source]
floor
functionFull reference ↗- tensorplay.functional.floor(input, *, out=None)[source]
fmax
functionFull reference ↗- tensorplay.functional.fmax(input, other, *, out=None)[source]
fmin
functionFull reference ↗- tensorplay.functional.fmin(input, other, *, out=None)[source]
fmod
functionFull reference ↗- tensorplay.functional.fmod(input, other)[source]
frac_
functionFull reference ↗- tensorplay.functional.frac_(input)[source]
frac
functionFull reference ↗- tensorplay.functional.frac(input, *, out=None)[source]
frexp
functionFull reference ↗- tensorplay.functional.frexp(input, *, out=None)[source]
from_file
functionFull reference ↗- tensorplay.functional.from_file(filename, shared=None, size=0, dtype=None, layout=None, device=None, pin_memory=None)[source]
full_like
functionFull reference ↗- tensorplay.functional.full_like(input, fill_value, dtype=<DType.undefined: 22>, device=None, requires_grad=False)[source]
fused_moving_avg_obs_fake_quant
functionFull reference ↗- tensorplay.functional.fused_moving_avg_obs_fake_quant(input, observer_on, fake_quant_on, running_min, running_max, scale, zero_point, averaging_const, quant_min, quant_max, ch_axis, per_row_fake_quant=False, symmetric_quant=False)[source]
gammainc
functionFull reference ↗- tensorplay.functional.gammainc(a, x)[source]
gammaincc
functionFull reference ↗- tensorplay.functional.gammaincc(a, x)[source]
gather
functionFull reference ↗- tensorplay.functional.gather(input, dim, index, *, out=None)[source]
gcd_
functionFull reference ↗- tensorplay.functional.gcd_(input, other)[source]
gcd
functionFull reference ↗- tensorplay.functional.gcd(input, other, *, out=None)[source]
ge
functionFull reference ↗- tensorplay.functional.ge(input, other, *, out=None)[source]
geqrf
functionFull reference ↗- tensorplay.functional.geqrf(input, *, out=None)[source]
ger
functionFull reference ↗- tensorplay.functional.ger(input, vec2, *, out=None)[source]
get_device
functionFull reference ↗- tensorplay.functional.get_device(input)[source]
greater_equal
functionFull reference ↗- tensorplay.functional.greater_equal(input, other, *, out=None)[source]
greater
functionFull reference ↗- tensorplay.functional.greater(input, other, *, out=None)[source]
grid_sampler_2d
functionFull reference ↗- tensorplay.functional.grid_sampler_2d(input, grid, interpolation_mode, padding_mode, align_corners)[source]
grid_sampler_3d
functionFull reference ↗- tensorplay.functional.grid_sampler_3d(input, grid, interpolation_mode, padding_mode, align_corners)[source]
group_norm
functionFull reference ↗- tensorplay.functional.group_norm(input, num_groups, weight=None, bias=None, eps=1e-05)[source]
gru_cell
functionFull reference ↗- tensorplay.functional.gru_cell(input, hx, w_ih, w_hh, b_ih=None, b_hh=None)[source]
gru
functionFull reference ↗- tensorplay.functional.gru(input, hx, params, has_biases=True, num_layers=1, dropout_p=0.0, training=False, bidirectional=False, batch_first=False)[source]
gt
functionFull reference ↗- tensorplay.functional.gt(input, other, *, out=None)[source]
hamming_window
functionFull reference ↗- tensorplay.functional.hamming_window(window_length, periodic=True, alpha=0.54, beta=0.46, dtype=None)[source]
hann_window
functionFull reference ↗- tensorplay.functional.hann_window(window_length, periodic=True, dtype=None)[source]
hardshrink
functionFull reference ↗- tensorplay.functional.hardshrink(input, lambd=0.5, *, out=None)[source]
hash_tensor
functionFull reference ↗- tensorplay.functional.hash_tensor(input, dim=[], *, keepdim=False, mode=0, out=None)[source]
heaviside
functionFull reference ↗- tensorplay.functional.heaviside(input, values, *, out=None)[source]
hermite_polynomial_h
functionFull reference ↗- tensorplay.functional.hermite_polynomial_h(x, n)[source]
hermite_polynomial_he
functionFull reference ↗- tensorplay.functional.hermite_polynomial_he(x, n)[source]
hinge_embedding_loss
functionFull reference ↗- tensorplay.functional.hinge_embedding_loss(input, target, margin=1.0)[source]
histc
functionFull reference ↗- tensorplay.functional.histc(input, bins=100, min=0, max=0, *, out=None)[source]
histogramdd
functionFull reference ↗- tensorplay.functional.histogramdd(input, bins, range=None, weight=None, density=False)[source]
hsplit
functionFull reference ↗- tensorplay.functional.hsplit(input, sections)[source]
hstack
functionFull reference ↗- tensorplay.functional.hstack(*args)[source]
hypot
functionFull reference ↗- tensorplay.functional.hypot(input, other, *, out=None)[source]
i0_
functionFull reference ↗- tensorplay.functional.i0_(input)[source]
i0
functionFull reference ↗- tensorplay.functional.i0(input, *, out=None)[source]
i0e
functionFull reference ↗- tensorplay.functional.i0e(input)[source]
i1
functionFull reference ↗- tensorplay.functional.i1(input)[source]
i1e
functionFull reference ↗- tensorplay.functional.i1e(input)[source]
igamma
functionFull reference ↗- tensorplay.functional.igamma(input, other, *, out=None)[source]
igammac
functionFull reference ↗- tensorplay.functional.igammac(input, other, *, out=None)[source]
imag
functionFull reference ↗- tensorplay.functional.imag(input)[source]
index_add
functionFull reference ↗- tensorplay.functional.index_add(input, dim, index, source, *, out=None)[source]
index_copy
functionFull reference ↗- tensorplay.functional.index_copy(input, dim, index, source, *, out=None)[source]
index_put_
functionFull reference ↗- tensorplay.functional.index_put_(input, indices, values, accumulate=False)[source]
index_reduce
functionFull reference ↗- tensorplay.functional.index_reduce(input, dim, index, source, reduce, *, include_self=True, out=None)[source]
index_select
functionFull reference ↗- tensorplay.functional.index_select(input, dim, index, *, out=None)[source]
indices_copy
functionFull reference ↗- tensorplay.functional.indices_copy(input)[source]
inner
functionFull reference ↗- tensorplay.functional.inner(input, other, *, out=None)[source]
instance_norm
functionFull reference ↗- tensorplay.functional.instance_norm(input, weight=None, bias=None, running_mean=None, running_var=None, use_input_stats=True, momentum=0.1, eps=1e-05)[source]
int_repr
functionFull reference ↗- tensorplay.functional.int_repr(input)[source]
inverse
functionFull reference ↗- tensorplay.functional.inverse(input, *, out=None)[source]
is_complex
functionFull reference ↗- tensorplay.functional.is_complex(input)[source]
is_conj
functionFull reference ↗- tensorplay.functional.is_conj(input)[source]
is_distributed
functionFull reference ↗- tensorplay.functional.is_distributed(input)[source]
is_floating_point
functionFull reference ↗- tensorplay.functional.is_floating_point(input)[source]
is_inference
functionFull reference ↗- tensorplay.functional.is_inference(input)[source]
is_neg
functionFull reference ↗- tensorplay.functional.is_neg(input)[source]
is_nonzero
functionFull reference ↗- tensorplay.functional.is_nonzero(input)[source]
is_same_size
functionFull reference ↗- tensorplay.functional.is_same_size(input, other)[source]
is_signed
functionFull reference ↗- tensorplay.functional.is_signed(input)[source]
is_vulkan_available
functionFull reference ↗- tensorplay.functional.is_vulkan_available()[source]
isclose
functionFull reference ↗- tensorplay.functional.isclose(input, other, rtol=1e-05, atol=1e-08, equal_nan=False)[source]
isfinite
functionFull reference ↗- tensorplay.functional.isfinite(input)[source]
isin
functionFull reference ↗- tensorplay.functional.isin(elements, test_elements, *, assume_unique=False, invert=False, out=None)[source]
isinf
functionFull reference ↗- tensorplay.functional.isinf(input)[source]
isnan
functionFull reference ↗- tensorplay.functional.isnan(input)[source]
isneginf
functionFull reference ↗- tensorplay.functional.isneginf(input, *, out=None)[source]
isposinf
functionFull reference ↗- tensorplay.functional.isposinf(input, *, out=None)[source]
isreal
functionFull reference ↗- tensorplay.functional.isreal(input)[source]
istft
functionFull reference ↗- tensorplay.functional.istft(input, n_fft, hop_length=None, win_length=None, window=None, center=True, normalized=False, onesided=True, length=None, return_complex=False)[source]
kaiser_window
functionFull reference ↗- tensorplay.functional.kaiser_window(window_length, periodic=True, beta=12.0, *, dtype=None, device=None, pin_memory=False)[source]
kl_div
functionFull reference ↗- tensorplay.functional.kl_div(input, target)[source]
kron
functionFull reference ↗- tensorplay.functional.kron(input, other, *, out=None)[source]
kthvalue
functionFull reference ↗- tensorplay.functional.kthvalue(input, k, dim=-1, keepdim=False, *, out=None)[source]
laguerre_polynomial_l
functionFull reference ↗- tensorplay.functional.laguerre_polynomial_l(x, n)[source]
lcm_
functionFull reference ↗- tensorplay.functional.lcm_(input, other)[source]
lcm
functionFull reference ↗- tensorplay.functional.lcm(input, other, *, out=None)[source]
ldexp_
functionFull reference ↗- tensorplay.functional.ldexp_(input, other)[source]
ldexp
functionFull reference ↗- tensorplay.functional.ldexp(input, other, *, out=None)[source]
le
functionFull reference ↗- tensorplay.functional.le(input, other, *, out=None)[source]
legendre_polynomial_p
functionFull reference ↗- tensorplay.functional.legendre_polynomial_p(x, n)[source]
lerp
functionFull reference ↗- tensorplay.functional.lerp(input, end, weight, *, out=None)[source]
less_equal
functionFull reference ↗- tensorplay.functional.less_equal(input, other, *, out=None)[source]
less
functionFull reference ↗- tensorplay.functional.less(input, other, *, out=None)[source]
lgamma
functionFull reference ↗- tensorplay.functional.lgamma(input, *, out=None)[source]
linspace
functionFull reference ↗- tensorplay.functional.linspace(start, end, steps, *, dtype=<DType.float32: 8>, device=None, requires_grad=False, out=None)[source]
log_
functionFull reference ↗- tensorplay.functional.log_(input)[source]
log_ndtr
functionFull reference ↗- tensorplay.functional.log_ndtr(input)[source]
log
functionFull reference ↗- tensorplay.functional.log(input, *, out=None)[source]
log10_
functionFull reference ↗- tensorplay.functional.log10_(input)[source]
log10
functionFull reference ↗- tensorplay.functional.log10(input, *, out=None)[source]
log1p_
functionFull reference ↗- tensorplay.functional.log1p_(input)[source]
log1p
functionFull reference ↗- tensorplay.functional.log1p(input, *, out=None)[source]
log2_
functionFull reference ↗- tensorplay.functional.log2_(input)[source]
log2
functionFull reference ↗- tensorplay.functional.log2(input, *, out=None)[source]
logaddexp
functionFull reference ↗- tensorplay.functional.logaddexp(input, other, *, out=None)[source]
logaddexp2
functionFull reference ↗- tensorplay.functional.logaddexp2(input, other, *, out=None)[source]
logcumsumexp
functionFull reference ↗- tensorplay.functional.logcumsumexp(input, dim, dtype=None, *, out=None)[source]
logdet
functionFull reference ↗- tensorplay.functional.logdet(input)[source]
logical_and
functionFull reference ↗- tensorplay.functional.logical_and(input, other, *, out=None)[source]
logical_not
functionFull reference ↗- tensorplay.functional.logical_not(input, *, out=None)[source]
logical_or
functionFull reference ↗- tensorplay.functional.logical_or(input, other, *, out=None)[source]
logical_xor
functionFull reference ↗- tensorplay.functional.logical_xor(input, other, *, out=None)[source]
logit_
functionFull reference ↗- tensorplay.functional.logit_(input, eps=None)[source]
logit
functionFull reference ↗- tensorplay.functional.logit(input, eps=None, *, out=None)[source]
logspace
functionFull reference ↗- tensorplay.functional.logspace(start, end, steps, base=10.0, *, dtype=<DType.float32: 8>, device=None, requires_grad=False, out=None)[source]
logsumexp
functionFull reference ↗- tensorplay.functional.logsumexp(input, dim, keepdim=False, *, out=None)[source]
lstm_cell
functionFull reference ↗- tensorplay.functional.lstm_cell(input, hx, cx, w_ih, w_hh, b_ih=None, b_hh=None)[source]
lstm
functionFull reference ↗- tensorplay.functional.lstm(input, hx, params, has_biases=True, num_layers=1, dropout_p=0.0, training=False, bidirectional=False, batch_first=False)[source]
lt
functionFull reference ↗- tensorplay.functional.lt(input, other, *, out=None)[source]
lu_solve
functionFull reference ↗- tensorplay.functional.lu_solve(input, LU_data, LU_pivots, *, out=None)[source]
lu_unpack
functionFull reference ↗- tensorplay.functional.lu_unpack(LU_data, LU_pivots, unpack_data=True, unpack_pivots=True, *, out=None)[source]
margin_ranking_loss
functionFull reference ↗- tensorplay.functional.margin_ranking_loss(input1, input2, target, margin=0)[source]
masked_fill
functionFull reference ↗- tensorplay.functional.masked_fill(input, mask, value)[source]
masked_select
functionFull reference ↗- tensorplay.functional.masked_select(input, mask, *, out=None)[source]
matmul
functionFull reference ↗- tensorplay.functional.matmul(input, other, *, out=None)[source]
matrix_exp
functionFull reference ↗- tensorplay.functional.matrix_exp(input)[source]
matrix_power
functionFull reference ↗- tensorplay.functional.matrix_power(input, n, *, out=None)[source]
max_pool1d
functionFull reference ↗- tensorplay.functional.max_pool1d(input, kernel_size, stride=[], padding=0, dilation=1, ceil_mode=False)[source]
max_pool3d
functionFull reference ↗- tensorplay.functional.max_pool3d(input, kernel_size, stride=[], padding=[0, 0, 0], dilation=[1, 1, 1], ceil_mode=False)[source]
maximum
functionFull reference ↗- tensorplay.functional.maximum(input, other, *, out=None)[source]
mean
functionFull reference ↗- tensorplay.functional.mean(input, dim=None, keepdim=False, *, dtype=<DType.undefined: 22>)[source]
median
functionFull reference ↗- tensorplay.functional.median(input, dim=None, keepdim=False)[source]
meshgrid
functionFull reference ↗- tensorplay.functional.meshgrid(tensors, indexing='ij')[source]
minimum
functionFull reference ↗- tensorplay.functional.minimum(input, other, *, out=None)[source]
miopen_batch_norm
functionFull reference ↗- tensorplay.functional.miopen_batch_norm(input, weight, bias, running_mean, running_var, training, exponential_average_factor, epsilon)[source]
miopen_convolution_add_relu
functionFull reference ↗- tensorplay.functional.miopen_convolution_add_relu(input, weight, z, alpha, bias, stride, padding, dilation, groups)[source]
miopen_convolution_relu
functionFull reference ↗- tensorplay.functional.miopen_convolution_relu(input, weight, bias, stride, padding, dilation, groups)[source]
miopen_convolution_transpose
functionFull reference ↗- tensorplay.functional.miopen_convolution_transpose(input, weight, bias, padding, output_padding, stride, dilation, groups, benchmark, deterministic)[source]
miopen_convolution
functionFull reference ↗- tensorplay.functional.miopen_convolution(input, weight, bias, padding, stride, dilation, groups, benchmark, deterministic)[source]
miopen_ctc_loss
functionFull reference ↗- tensorplay.functional.miopen_ctc_loss(log_probs, targets, input_lengths, target_lengths, blank, deterministic, zero_infinity)[source]
miopen_depthwise_convolution
functionFull reference ↗- tensorplay.functional.miopen_depthwise_convolution(input, weight, bias, padding, stride, dilation, groups, benchmark, deterministic)[source]
miopen_rnn
functionFull reference ↗- tensorplay.functional.miopen_rnn(input, weight, weight_stride0, hx, cx, mode, hidden_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, dropout_state)[source]
mkldnn_adaptive_avg_pool2d
functionFull reference ↗- tensorplay.functional.mkldnn_adaptive_avg_pool2d(input, output_size, *, out=None)[source]
mkldnn_convolution
functionFull reference ↗- tensorplay.functional.mkldnn_convolution(input, weight, bias, padding, stride, dilation, groups)[source]
mkldnn_linear_backward_weights
functionFull reference ↗- tensorplay.functional.mkldnn_linear_backward_weights(grad_output, input, weight, bias_defined)[source]
mkldnn_max_pool2d
functionFull reference ↗- tensorplay.functional.mkldnn_max_pool2d(input, kernel_size, stride=[], padding=0, dilation=1, ceil_mode=False)[source]
mkldnn_max_pool3d
functionFull reference ↗- tensorplay.functional.mkldnn_max_pool3d(input, kernel_size, stride=[], padding=0, dilation=1, ceil_mode=False)[source]
mkldnn_rnn_layer
functionFull reference ↗- tensorplay.functional.mkldnn_rnn_layer(input, weight0, weight1, weight2, weight3, hx_, cx_, reverse, batch_sizes, mode, hidden_size, num_layers, has_biases, bidirectional, batch_first, train)[source]
mm
functionFull reference ↗- tensorplay.functional.mm(input, mat2)[source]
mode
functionFull reference ↗- tensorplay.functional.mode(input, dim=-1, keepdim=False, *, out=None)[source]
modified_bessel_i0
functionFull reference ↗- tensorplay.functional.modified_bessel_i0(input)[source]
modified_bessel_i1
functionFull reference ↗- tensorplay.functional.modified_bessel_i1(input)[source]
modified_bessel_k0
functionFull reference ↗- tensorplay.functional.modified_bessel_k0(input)[source]
modified_bessel_k1
functionFull reference ↗- tensorplay.functional.modified_bessel_k1(input)[source]
moveaxis
functionFull reference ↗- tensorplay.functional.moveaxis(input, source, destination)[source]
movedim
functionFull reference ↗- tensorplay.functional.movedim(input, source, destination)[source]
msort
functionFull reference ↗- tensorplay.functional.msort(input, *, out=None)[source]
mul
functionFull reference ↗- tensorplay.functional.mul(input, other)[source]
multinomial
functionFull reference ↗- tensorplay.functional.multinomial(input, num_samples, replacement=False, impl=0, *, out=None)[source]
multiply
functionFull reference ↗- tensorplay.functional.multiply(input, other)[source]
mv
functionFull reference ↗- tensorplay.functional.mv(input, vec, *, out=None)[source]
mvlgamma
functionFull reference ↗- tensorplay.functional.mvlgamma(input, p, *, out=None)[source]
nan_to_num_
functionFull reference ↗- tensorplay.functional.nan_to_num_(input, nan=0.0, posinf=None, neginf=None)[source]
nan_to_num
functionFull reference ↗- tensorplay.functional.nan_to_num(input, nan=0.0, posinf=None, neginf=None, *, out=None)[source]
nanmean
functionFull reference ↗- tensorplay.functional.nanmean(input, dim=None, keepdim=False, *, dtype=None, out=None)[source]
nanmedian
functionFull reference ↗- tensorplay.functional.nanmedian(input, dim=None, keepdim=False)[source]
nansum
functionFull reference ↗- tensorplay.functional.nansum(input, dim=[], keepdim=False, *, out=None)[source]
narrow_copy
functionFull reference ↗- tensorplay.functional.narrow_copy(input, dim, start, length, *, out=None)[source]
narrow
functionFull reference ↗- tensorplay.functional.narrow(input, dim, start, length)[source]
native_batch_norm
functionFull reference ↗- tensorplay.functional.native_batch_norm(input, weight, bias, running_mean, running_var, training, momentum, eps, *, out=None)[source]
native_channel_shuffle
functionFull reference ↗- tensorplay.functional.native_channel_shuffle(input, groups)[source]
native_group_norm
functionFull reference ↗- tensorplay.functional.native_group_norm(input, weight, bias, N, C, HxW, group, eps)[source]
native_layer_norm
functionFull reference ↗- tensorplay.functional.native_layer_norm(input, normalized_shape, weight, bias, eps)[source]
native_norm
functionFull reference ↗- tensorplay.functional.native_norm(input, p=2)[source]
ndtr
functionFull reference ↗- tensorplay.functional.ndtr(input)[source]
ndtri
functionFull reference ↗- tensorplay.functional.ndtri(input)[source]
ne
functionFull reference ↗- tensorplay.functional.ne(input, other, *, out=None)[source]
neg_
functionFull reference ↗- tensorplay.functional.neg_(input)[source]
neg
functionFull reference ↗- tensorplay.functional.neg(input, *, out=None)[source]
negative_
functionFull reference ↗- tensorplay.functional.negative_(input)[source]
negative
functionFull reference ↗- tensorplay.functional.negative(input, *, out=None)[source]
nextafter
functionFull reference ↗- tensorplay.functional.nextafter(input, other, *, out=None)[source]
nonzero_static
functionFull reference ↗- tensorplay.functional.nonzero_static(input, *, size=None, fill_value=-1, out=None)[source]
nonzero
functionFull reference ↗- tensorplay.functional.nonzero(input, *, out=None)[source]
norm_except_dim
functionFull reference ↗- tensorplay.functional.norm_except_dim(v, pow=2, dim=0)[source]
norm
functionFull reference ↗- tensorplay.functional.norm(input, p=2.0, dim=None, keepdim=False)[source]
normal
functionFull reference ↗- tensorplay.functional.normal(mean, std, *, out=None)[source]
not_equal
functionFull reference ↗- tensorplay.functional.not_equal(input, other, *, out=None)[source]
nuclear_norm
functionFull reference ↗- tensorplay.functional.nuclear_norm(input, keepdim=False, dim=None)[source]
numel
functionFull reference ↗- tensorplay.functional.numel(input)[source]
ones_like
functionFull reference ↗- tensorplay.functional.ones_like(input, dtype=<DType.undefined: 22>, device=None, requires_grad=False)[source]
orgqr
functionFull reference ↗- tensorplay.functional.orgqr(input, input2, *, out=None)[source]
ormqr
functionFull reference ↗- tensorplay.functional.ormqr(input, input2, input3, left=True, transpose=False, *, out=None)[source]
outer
functionFull reference ↗- tensorplay.functional.outer(input, vec2, *, out=None)[source]
pairwise_distance
functionFull reference ↗- tensorplay.functional.pairwise_distance(x1, x2, p=2.0, eps=1e-06, keepdim=False)[source]
pdist
functionFull reference ↗- tensorplay.functional.pdist(input, p=2.0)[source]
permute_copy
functionFull reference ↗- tensorplay.functional.permute_copy(input, dims)[source]
permute
functionFull reference ↗- tensorplay.functional.permute(input, dims)[source]
pinverse
functionFull reference ↗- tensorplay.functional.pinverse(input, rcond=1e-15)[source]
pixel_unshuffle
functionFull reference ↗- tensorplay.functional.pixel_unshuffle(input, downscale_factor)[source]
poisson_nll_loss
functionFull reference ↗- tensorplay.functional.poisson_nll_loss(input, target, log_input=True, full=False, eps=1e-08)[source]
poisson
functionFull reference ↗- tensorplay.functional.poisson(input)[source]
polar
functionFull reference ↗- tensorplay.functional.polar(abs, angle, *, out=None)[source]
polygamma
functionFull reference ↗- tensorplay.functional.polygamma(n, input, *, out=None)[source]
positive
functionFull reference ↗- tensorplay.functional.positive(input)[source]
pow
functionFull reference ↗- tensorplay.functional.pow(input, exponent, *, out=None)[source]
prelu
functionFull reference ↗- tensorplay.functional.prelu(input, weight)[source]
prod
functionFull reference ↗- tensorplay.functional.prod(input, dim=None, keepdim=False, *, dtype=<DType.undefined: 22>)[source]
promote_types
functionFull reference ↗- tensorplay.functional.promote_types(type1, type2)[source]
put
functionFull reference ↗- tensorplay.functional.put(input, index, source, accumulate=False)[source]
q_per_channel_axis
functionFull reference ↗- tensorplay.functional.q_per_channel_axis(input)[source]
q_per_channel_scales
functionFull reference ↗- tensorplay.functional.q_per_channel_scales(input)[source]
q_per_channel_zero_points
functionFull reference ↗- tensorplay.functional.q_per_channel_zero_points(input)[source]
q_scale
functionFull reference ↗- tensorplay.functional.q_scale(input)[source]
q_zero_point
functionFull reference ↗- tensorplay.functional.q_zero_point(input)[source]
quantize_per_channel
functionFull reference ↗- tensorplay.functional.quantize_per_channel(input, scales, zero_points, axis, dtype)[source]
quantize_per_tensor_dynamic
functionFull reference ↗- tensorplay.functional.quantize_per_tensor_dynamic(input, dtype, reduce_range)[source]
quantize_per_tensor
functionFull reference ↗- tensorplay.functional.quantize_per_tensor(input, scale, zero_point, dtype)[source]
quantized_batch_norm
functionFull reference ↗- tensorplay.functional.quantized_batch_norm(input, weight, bias, mean, var, eps, output_scale, output_zero_point)[source]
quantized_gru_cell
functionFull reference ↗- tensorplay.functional.quantized_gru_cell(input, hx, w_ih, w_hh, b_ih, b_hh, packed_ih, packed_hh, col_offsets_ih, col_offsets_hh, scale_ih, scale_hh, zero_point_ih, zero_point_hh)[source]
quantized_lstm_cell
functionFull reference ↗- tensorplay.functional.quantized_lstm_cell(input, hx, w_ih, w_hh, b_ih, b_hh, packed_ih, packed_hh, col_offsets_ih, col_offsets_hh, scale_ih, scale_hh, zero_point_ih, zero_point_hh)[source]
quantized_max_pool1d
functionFull reference ↗- tensorplay.functional.quantized_max_pool1d(input, kernel_size, stride=[], padding=0, dilation=1, ceil_mode=False)[source]
quantized_max_pool2d
functionFull reference ↗- tensorplay.functional.quantized_max_pool2d(input, kernel_size, stride=[], padding=0, dilation=1, ceil_mode=False)[source]
quantized_max_pool3d
functionFull reference ↗- tensorplay.functional.quantized_max_pool3d(input, kernel_size, stride=[], padding=0, dilation=1, ceil_mode=False)[source]
quantized_rnn_relu_cell
functionFull reference ↗- tensorplay.functional.quantized_rnn_relu_cell(input, hx, w_ih, w_hh, b_ih, b_hh, packed_ih, packed_hh, col_offsets_ih, col_offsets_hh, scale_ih, scale_hh, zero_point_ih, zero_point_hh)[source]
quantized_rnn_tanh_cell
functionFull reference ↗- tensorplay.functional.quantized_rnn_tanh_cell(input, hx, w_ih, w_hh, b_ih, b_hh, packed_ih, packed_hh, col_offsets_ih, col_offsets_hh, scale_ih, scale_hh, zero_point_ih, zero_point_hh)[source]
rad2deg_
functionFull reference ↗- tensorplay.functional.rad2deg_(input)[source]
rad2deg
functionFull reference ↗- tensorplay.functional.rad2deg(input, *, out=None)[source]
rand_like
functionFull reference ↗- tensorplay.functional.rand_like(input, dtype=<DType.undefined: 22>, device=None, requires_grad=False)[source]
randint_like
functionFull reference ↗- tensorplay.functional.randint_like(input, low, high, dtype=<DType.undefined: 22>, device=None, requires_grad=False)[source]
randint
functionFull reference ↗- tensorplay.functional.randint(low, high, size, *, dtype=<DType.int64: 4>, device=None, requires_grad=False, out=None)[source]
randn_like
functionFull reference ↗- tensorplay.functional.randn_like(input, dtype=<DType.undefined: 22>, device=None, requires_grad=False)[source]
randperm
functionFull reference ↗- tensorplay.functional.randperm(n, *, dtype=<DType.int64: 4>, device=None, requires_grad=False, out=None)[source]
range
functionFull reference ↗- tensorplay.functional.range(start, end, step=1, *, dtype=None, device=None, out=None)[source]
ravel
functionFull reference ↗- tensorplay.functional.ravel(input)[source]
real
functionFull reference ↗- tensorplay.functional.real(input)[source]
reciprocal_
functionFull reference ↗- tensorplay.functional.reciprocal_(input)[source]
reciprocal
functionFull reference ↗- tensorplay.functional.reciprocal(input, *, out=None)[source]
relu_
functionFull reference ↗- tensorplay.functional.relu_(input)[source]
remainder
functionFull reference ↗- tensorplay.functional.remainder(input, other, *, out=None)[source]
renorm
functionFull reference ↗- tensorplay.functional.renorm(input, p, dim, maxnorm, *, out=None)[source]
repeat_interleave
functionFull reference ↗- tensorplay.functional.repeat_interleave(input, repeats=None, dim=None, *, output_size=None)[source]
reshape
functionFull reference ↗- tensorplay.functional.reshape(input, shape)[source]
resize_as_
functionFull reference ↗- tensorplay.functional.resize_as_(input, other, memory_format=None)[source]
resize_as_sparse_
functionFull reference ↗- tensorplay.functional.resize_as_sparse_(input, the_template)[source]
resolve_conj
functionFull reference ↗- tensorplay.functional.resolve_conj(input)[source]
resolve_neg
functionFull reference ↗- tensorplay.functional.resolve_neg(input)[source]
result_type
functionFull reference ↗- tensorplay.functional.result_type(tensor, other)[source]
rms_norm
functionFull reference ↗- tensorplay.functional.rms_norm(input, normalized_shape, weight=None, eps=None)[source]
rnn_relu_cell
functionFull reference ↗- tensorplay.functional.rnn_relu_cell(input, hx, w_ih, w_hh, b_ih=None, b_hh=None)[source]
rnn_relu
functionFull reference ↗- tensorplay.functional.rnn_relu(input, hx, params, has_biases=True, num_layers=1, dropout_p=0.0, training=False, bidirectional=False, batch_first=False)[source]
rnn_tanh_cell
functionFull reference ↗- tensorplay.functional.rnn_tanh_cell(input, hx, w_ih, w_hh, b_ih=None, b_hh=None)[source]
rnn_tanh
functionFull reference ↗- tensorplay.functional.rnn_tanh(input, hx, params, has_biases=True, num_layers=1, dropout_p=0.0, training=False, bidirectional=False, batch_first=False)[source]
roll
functionFull reference ↗- tensorplay.functional.roll(input, shifts, dims=[])[source]
rot90
functionFull reference ↗- tensorplay.functional.rot90(input, k=1, dims=[0, 1])[source]
round_
functionFull reference ↗- tensorplay.functional.round_(input)[source]
round
functionFull reference ↗- tensorplay.functional.round(input, *, decimals=<object object>, out=None)[source]
row_indices_copy
functionFull reference ↗- tensorplay.functional.row_indices_copy(input)[source]
row_stack
functionFull reference ↗- tensorplay.functional.row_stack(*args)[source]
rrelu_
functionFull reference ↗- tensorplay.functional.rrelu_(input, lower=0.125, upper=0.3333333333333333, training=False)[source]
rrelu
functionFull reference ↗- tensorplay.functional.rrelu(input, lower=0.125, upper=0.3333333333333333, training=False)[source]
rsqrt_
functionFull reference ↗- tensorplay.functional.rsqrt_(input)[source]
rsqrt
functionFull reference ↗- tensorplay.functional.rsqrt(input, *, out=None)[source]
rsub
functionFull reference ↗- tensorplay.functional.rsub(input, other, alpha=1)[source]
scalar_tensor
functionFull reference ↗- tensorplay.functional.scalar_tensor(s, dtype=None, device=None, pin_memory=False)[source]
scaled_modified_bessel_k0
functionFull reference ↗- tensorplay.functional.scaled_modified_bessel_k0(input)[source]
scaled_modified_bessel_k1
functionFull reference ↗- tensorplay.functional.scaled_modified_bessel_k1(input)[source]
scatter_add
functionFull reference ↗- tensorplay.functional.scatter_add(input, dim, index, src, *, out=None)[source]
scatter_reduce
functionFull reference ↗- tensorplay.functional.scatter_reduce(input, dim, index, src, reduce, *, include_self=True, out=None)[source]
scatter
functionFull reference ↗- tensorplay.functional.scatter(input, dim, index, src, *, reduce=<object object>, out=None)[source]
searchsorted
functionFull reference ↗- tensorplay.functional.searchsorted(sorted_sequence, input, *, out_int32=False, right=False, side=None, sorter=None, out=None)[source]
segment_reduce
functionFull reference ↗- tensorplay.functional.segment_reduce(data, reduce, lengths=None, indices=None, offsets=None, axis=0, unsafe=False, initial=None)[source]
select_copy
functionFull reference ↗- tensorplay.functional.select_copy(input, dim, index)[source]
select_scatter
functionFull reference ↗- tensorplay.functional.select_scatter(input, src, dim, index)[source]
select
functionFull reference ↗- tensorplay.functional.select(input, dim, index)[source]
selu_
functionFull reference ↗- tensorplay.functional.selu_(input)[source]
selu
functionFull reference ↗- tensorplay.functional.selu(input)[source]
sgn
functionFull reference ↗- tensorplay.functional.sgn(input, *, out=None)[source]
shifted_chebyshev_polynomial_t
functionFull reference ↗- tensorplay.functional.shifted_chebyshev_polynomial_t(x, n)[source]
shifted_chebyshev_polynomial_u
functionFull reference ↗- tensorplay.functional.shifted_chebyshev_polynomial_u(x, n)[source]
shifted_chebyshev_polynomial_v
functionFull reference ↗- tensorplay.functional.shifted_chebyshev_polynomial_v(x, n)[source]
shifted_chebyshev_polynomial_w
functionFull reference ↗- tensorplay.functional.shifted_chebyshev_polynomial_w(x, n)[source]
sigmoid_
functionFull reference ↗- tensorplay.functional.sigmoid_(input)[source]
sigmoid
functionFull reference ↗- tensorplay.functional.sigmoid(input, *, out=None)[source]
sign
functionFull reference ↗- tensorplay.functional.sign(input, *, out=None)[source]
signbit
functionFull reference ↗- tensorplay.functional.signbit(input, *, out=None)[source]
sin_
functionFull reference ↗- tensorplay.functional.sin_(input)[source]
sin
functionFull reference ↗- tensorplay.functional.sin(input, *, out=None)[source]
sinc_
functionFull reference ↗- tensorplay.functional.sinc_(input)[source]
sinc
functionFull reference ↗- tensorplay.functional.sinc(input, *, out=None)[source]
sinh_
functionFull reference ↗- tensorplay.functional.sinh_(input)[source]
sinh
functionFull reference ↗- tensorplay.functional.sinh(input, *, out=None)[source]
slice_copy
functionFull reference ↗- tensorplay.functional.slice_copy(input, dim=0, start=None, end=None, step=1)[source]
slice_inverse
functionFull reference ↗- tensorplay.functional.slice_inverse(input, src, dim=0, start=None, end=None, step=1)[source]
slice_scatter
functionFull reference ↗- tensorplay.functional.slice_scatter(input, src, dim=0, start=None, end=None, step=1)[source]
slogdet
functionFull reference ↗- tensorplay.functional.slogdet(input, *, out=None)[source]
softmax
functionFull reference ↗- tensorplay.functional.softmax(input, dim, dtype=<DType.undefined: 22>, *, out=None)[source]
sort
functionFull reference ↗- tensorplay.functional.sort(input, dim=-1, descending=False, *, stable=<object object>, out=None)[source]
sparse_bsc_tensor
functionFull reference ↗- tensorplay.functional.sparse_bsc_tensor(ccol_indices, row_indices, values, size=None, *, dtype=None, layout=None, device=None, pin_memory=False)[source]
sparse_bsr_tensor
functionFull reference ↗- tensorplay.functional.sparse_bsr_tensor(crow_indices, col_indices, values, size=None, *, dtype=None, layout=None, device=None, pin_memory=False)[source]
sparse_coo_tensor
functionFull reference ↗- tensorplay.functional.sparse_coo_tensor(indices, values, size=None, is_coalesced=False)[source]
sparse_csc_tensor
functionFull reference ↗- tensorplay.functional.sparse_csc_tensor(ccol_indices, row_indices, values, size=None, *, dtype=None, layout=None, device=None, pin_memory=False)[source]
sparse_csr_tensor
functionFull reference ↗- tensorplay.functional.sparse_csr_tensor(crow_indices, col_indices, values, size=None, *, dtype=None, layout=None, device=None, pin_memory=False)[source]
spherical_bessel_j0
functionFull reference ↗- tensorplay.functional.spherical_bessel_j0(input)[source]
split_copy
functionFull reference ↗- tensorplay.functional.split_copy(input, split_size, dim=0, *, out=None)[source]
split_with_sizes_copy
functionFull reference ↗- tensorplay.functional.split_with_sizes_copy(input, split_sizes, dim=0, *, out=None)[source]
split
functionFull reference ↗- tensorplay.functional.split(input, split_size, dim=0)[source]
sqrt_
functionFull reference ↗- tensorplay.functional.sqrt_(input)[source]
sqrt
functionFull reference ↗- tensorplay.functional.sqrt(input, *, out=None)[source]
square_
functionFull reference ↗- tensorplay.functional.square_(input)[source]
square
functionFull reference ↗- tensorplay.functional.square(input, *, out=None)[source]
squeeze_copy
functionFull reference ↗- tensorplay.functional.squeeze_copy(input, dim=None)[source]
squeeze
functionFull reference ↗- tensorplay.functional.squeeze(input, dim=None)[source]
stack
functionFull reference ↗- tensorplay.functional.stack(tensors, dim=0, *, out=None)[source]
std_mean
functionFull reference ↗- tensorplay.functional.std_mean(input, dim=[], unbiased=True, keepdim=False)[source]
std
functionFull reference ↗- tensorplay.functional.std(input, correction=1, dim=None, keepdim=False)[source]
stft
functionFull reference ↗- tensorplay.functional.stft(input, n_fft, hop_length=None, win_length=None, window=None, center=True, pad_mode='reflect', normalized=False, onesided=True, return_complex=True)[source]
sub
functionFull reference ↗- tensorplay.functional.sub(input, other, alpha=1)[source]
subtract
functionFull reference ↗- tensorplay.functional.subtract(input, other, alpha=1)[source]
sum
functionFull reference ↗- tensorplay.functional.sum(input, dim=None, keepdim=False, *, dtype=<DType.undefined: 22>)[source]
svd
functionFull reference ↗- tensorplay.functional.svd(input, some=True, compute_uv=True, *, out=None)[source]
swapaxes
functionFull reference ↗- tensorplay.functional.swapaxes(input, axis0, axis1)[source]
swapdims
functionFull reference ↗- tensorplay.functional.swapdims(input, dim0, dim1)[source]
sym_constrain_range_for_size
functionFull reference ↗- tensorplay.functional.sym_constrain_range_for_size(size, min=None, max=None)[source]
sym_constrain_range
functionFull reference ↗- tensorplay.functional.sym_constrain_range(size, min=None, max=None)[source]
t_copy
functionFull reference ↗- tensorplay.functional.t_copy(input)[source]
t
functionFull reference ↗- tensorplay.functional.t(input)[source]
take_along_dim
functionFull reference ↗- tensorplay.functional.take_along_dim(input, indices, dim=None, *, out=None)[source]
take
functionFull reference ↗- tensorplay.functional.take(input, index, *, out=None)[source]
tan_
functionFull reference ↗- tensorplay.functional.tan_(input)[source]
tan
functionFull reference ↗- tensorplay.functional.tan(input, *, out=None)[source]
tanh_
functionFull reference ↗- tensorplay.functional.tanh_(input)[source]
tanh
functionFull reference ↗- tensorplay.functional.tanh(input, *, out=None)[source]
tensor_split
functionFull reference ↗- tensorplay.functional.tensor_split(input, sections, dim=0)[source]
threshold_
functionFull reference ↗- tensorplay.functional.threshold_(input, threshold, value)[source]
threshold
functionFull reference ↗- tensorplay.functional.threshold(input, threshold, value, *, out=None)[source]
tile
functionFull reference ↗- tensorplay.functional.tile(input, dims)[source]
topk
functionFull reference ↗- tensorplay.functional.topk(input, k, dim=-1, largest=True, sorted=True, impl=0, *, out=None)[source]
trace
functionFull reference ↗- tensorplay.functional.trace(input)[source]
transpose_copy
functionFull reference ↗- tensorplay.functional.transpose_copy(input, dim0, dim1)[source]
transpose
functionFull reference ↗- tensorplay.functional.transpose(input, dim0, dim1)[source]
trapezoid
functionFull reference ↗- tensorplay.functional.trapezoid(y, x=None, dx=1, dim=-1)[source]
trapz
functionFull reference ↗- tensorplay.functional.trapz(y, x=None, dx=None, dim=-1)[source]
triangular_solve
functionFull reference ↗- tensorplay.functional.triangular_solve(input, A, upper=False, transpose=False, unitriangular=False, *, out=None)[source]
tril_indices
functionFull reference ↗- tensorplay.functional.tril_indices(row, col, offset=0, dtype=<DType.int64: 4>, device=None, pin_memory=False)[source]
tril
functionFull reference ↗- tensorplay.functional.tril(input, diagonal=0, *, out=None)[source]
triplet_margin_loss
functionFull reference ↗- tensorplay.functional.triplet_margin_loss(anchor, positive, negative, margin=1.0, p=2.0)[source]
triu_indices
functionFull reference ↗- tensorplay.functional.triu_indices(row, col, offset=0, dtype=<DType.int64: 4>, device=None, pin_memory=False)[source]
triu
functionFull reference ↗- tensorplay.functional.triu(input, diagonal=0, *, out=None)[source]
true_divide
functionFull reference ↗- tensorplay.functional.true_divide(input, other)[source]
trunc_
functionFull reference ↗- tensorplay.functional.trunc_(input)[source]
trunc
functionFull reference ↗- tensorplay.functional.trunc(input, *, out=None)[source]
unbind_copy
functionFull reference ↗- tensorplay.functional.unbind_copy(input, dim=0, *, out=None)[source]
unbind
functionFull reference ↗- tensorplay.functional.unbind(input, dim=0)[source]
unflatten
functionFull reference ↗- tensorplay.functional.unflatten(input, dim, sizes)[source]
unfold_copy
functionFull reference ↗- tensorplay.functional.unfold_copy(input, dimension, size, step)[source]
unique_consecutive
functionFull reference ↗- tensorplay.functional.unique_consecutive(input, return_inverse=False, return_counts=False, dim=None)[source]
unique
functionFull reference ↗- tensorplay.functional.unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None)[source]
unsqueeze_copy
functionFull reference ↗- tensorplay.functional.unsqueeze_copy(input, dim)[source]
unsqueeze
functionFull reference ↗- tensorplay.functional.unsqueeze(input, dim)[source]
values_copy
functionFull reference ↗- tensorplay.functional.values_copy(input)[source]
vander
functionFull reference ↗- tensorplay.functional.vander(x, N=None, increasing=False)[source]
var_mean
functionFull reference ↗- tensorplay.functional.var_mean(input, dim=[], unbiased=True, keepdim=False)[source]
var
functionFull reference ↗- tensorplay.functional.var(input, correction=1, dim=None, keepdim=False)[source]
vdot
functionFull reference ↗- tensorplay.functional.vdot(input, other, *, out=None)[source]
view_as_complex_copy
functionFull reference ↗- tensorplay.functional.view_as_complex_copy(input)[source]
view_as_complex
functionFull reference ↗- tensorplay.functional.view_as_complex(input)[source]
view_as_real_copy
functionFull reference ↗- tensorplay.functional.view_as_real_copy(input)[source]
view_as_real
functionFull reference ↗- tensorplay.functional.view_as_real(input)[source]
view_copy
functionFull reference ↗- tensorplay.functional.view_copy(input, size)[source]
vsplit
functionFull reference ↗- tensorplay.functional.vsplit(input, sections)[source]
vstack
functionFull reference ↗- tensorplay.functional.vstack(*args)[source]
where
functionFull reference ↗- tensorplay.functional.where(condition, input, other)[source]
xlog1py
functionFull reference ↗- tensorplay.functional.xlog1py(input, other)[source]
xlogy_
functionFull reference ↗- tensorplay.functional.xlogy_(input, other)[source]
xlogy
functionFull reference ↗- tensorplay.functional.xlogy(input, other, *, out=None)[source]
zero_
functionFull reference ↗- tensorplay.functional.zero_(input)[source]
zeros_like
functionFull reference ↗- tensorplay.functional.zeros_like(input, dtype=<DType.undefined: 22>, device=None, requires_grad=False)[source]
zeta
functionFull reference ↗- tensorplay.functional.zeta(input, other)[source]
