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tensorflow/c/c_api_macros_internal.h
#ifdef __cplusplus #include "tensorflow/core/platform/status.h" // Macro to verify that the field `struct_size` of STRUCT_OBJ is initialized. // `struct_size` is used for struct member compatibility check between core TF // and plug-ins with the same C API minor version. More info here: // https://github.com/tensorflow/community/blob/master/rfcs/20200612-stream-executor-c-api/C_API_versioning_strategy.md
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Mar 13 17:40:56 GMT 2023 - 2.5K bytes - Viewed (0) -
ci/official/containers/linux_arm64/builder.devtoolset/stringop_trunc.patch
- char c; char *s = s1; /* Find the end of S1. */ - do - c = *s1++; - while (c != '\0'); - - /* Make S1 point before next character, so we can increment - it while memory is read (wins on pipelined cpus). */ - s1 -= 2; + s1 += strlen (s1); - if (n >= 4) - { - size_t n4 = n >> 2; - do - { - c = *s2++; - *++s1 = c; - if (c == '\0')
Others - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 42.9K bytes - Viewed (1) -
configure.py
'compilation to reduce the compilation time?'), 'Eigen strong inline overridden.', 'Not overriding eigen strong inline, ' 'some compilations could take more than 20 mins.'): # Due to a known MSVC compiler issue # https://github.com/tensorflow/tensorflow/issues/10521 # Overriding eigen strong inline speeds up the compiling of
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
TFE_TensorHandle* (*pack)(TFE_Context* context, TFE_TensorHandle** handles, int num_handles, TF_Status* s, void* device_info) = nullptr; // Pins the op to `device` based on inputs to `op`. Returns true // signifying to pin to the current custom device. Returns false // to pin to the physical device. //
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
RELEASE.md
supports equivalent functionality. `max_tokens` argument renamed to `num_tokens`. * `Discretization` added `num_bins` argument for learning bins boundaries through calling `adapt` on a dataset. Renamed `bins` argument to `bin_boundaries` for specifying bins without `adapt`. * Improvements to model saving/loading: * `model.load_weights` now accepts paths to saved models.
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)