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tensorflow/c/experimental/gradients/nn_grad.cc
return errors::Unimplemented( "BroadcastMul is not supported in tracing mode yet."); } auto imm_ctx = dyn_cast<ImmediateExecutionContext>(ctx); AbstractTensorPtr minus_1(imm_ctx->CreateInt32Scalar(-1)); ImmediateTensorHandlePtr dim(imm_ctx->CreateLocalHandle(minus_1.get())); AbstractTensorHandle* expand_dims_outputs; TF_RETURN_IF_ERROR( ops::ExpandDims(ctx, vec, dim.get(), &expand_dims_outputs, "ExpandDims"));
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K bytes - Viewed (0) -
configure.py
# Due to a known MSVC compiler issue # https://github.com/tensorflow/tensorflow/issues/10521 # Overriding eigen strong inline speeds up the compiling of # conv_grad_ops_3d.cc and conv_ops_3d.cc by 20 minutes, # but this also hurts the performance. Let users decide what they want. write_to_bazelrc('build --define=override_eigen_strong_inline=true') def config_info_line(name, help_text):
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
RELEASE.md
pipeline deterministic. This may lead to increased model loading time, because time spent in graph optimizations is now unbounded (was 20 minutes). * Deterministic Op Functionality (enabled by setting `TF_DETERMINISTIC_OPS` to `"true"` or `"1"`): * Add a deterministic GPU implementation of `tf.nn.softmax_cross_entropy_with_logits`. See PR
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8)