Method view

torch/_numpy/_ndarray.py:327–330 · view source on GitHub ↗

(self, dtype)

Source from the content-addressed store, hash-verified

325	b[old_numel:].zero_()
326
327	def view(self, dtype):
328	torch_dtype = _dtypes.dtype(dtype).torch_dtype
329	tview = self.tensor.view(torch_dtype)
330	return ndarray(tview)
331
332	@normalizer
333	def fill(self, value: ArrayLike):

meta_aliasFunction · 0.45

_matrix_polynomial_valueFunction · 0.45

stftFunction · 0.45

native_group_normFunction · 0.45

stftFunction · 0.45

istftFunction · 0.45

rollFunction · 0.45

stackFunction · 0.45

unflattenFunction · 0.45

_block_diag_iterableFunction · 0.45

view_asFunction · 0.45

take_along_dimFunction · 0.45

ndarrayClass · 0.85

dtypeMethod · 0.45

test_DistributedDataParallel_SyncBatchNorm_Diff_Input_Sizes_Running_ValueMethod · 0.36

_test_rref_proxy_tensorMethod · 0.36

test_rref_proxy_reuseMethod · 0.36

test_transformerencoder_square_inputMethod · 0.36

get_a_test_layerMethod · 0.36

test_scaled_dot_product_attentionMethod · 0.36

test_sdp_math_gradcheckMethod · 0.36

test_scaled_dot_product_fused_attention_vs_math_cpuMethod · 0.36

convert_flash_attn_S_to_softmaxMethod · 0.36

test_mem_eff_attention_non_contig_mask_bugMethod · 0.36

test_scaled_dot_product_attention_fused_kernels_packedMethod · 0.36

test_scaled_dot_product_attention_fused_kernels_packed_accuracyMethod · 0.36