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Results 11 - 20 of 142 for cond_a (0.13 sec)
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tensorflow/compiler/mlir/tensorflow/analysis/tf_dataflow.h
func::FuncOp cond = SymbolTable::lookupNearestSymbolFrom<func::FuncOp>( while_op, while_op.getCondAttr()); func::FuncOp body = SymbolTable::lookupNearestSymbolFrom<func::FuncOp>( while_op, while_op.getBodyAttr()); for (auto &arg : while_op->getOpOperands()) { BlockArgument cond_arg = cond.getArgument(arg.getOperandNumber());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 06 23:53:00 UTC 2024 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-dynamic-range.mlir
%conv_s = "quantfork.stats"(%conv) {layerStats = dense<[0.000000e+00, 1.000000e+01]> : tensor<2xf32>} : (tensor<?x26x26x26x16xf32>) -> tensor<?x26x26x26x16xf32> %1 = "tfl.shape"(%conv_s) : (tensor<?x26x26x26x16xf32>) -> tensor<5xi64> %2 = "tfl.broadcast_args"(%1, %cst) : (tensor<5xi64>, tensor<1xi64>) -> tensor<5xi64>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 38.2K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/math_grad.cc
AbstractTensorHandlePtr Conj_X(temp_output); // Creates Ones name = "OnesLike_Log1p_Grad_X"; TF_RETURN_IF_ERROR(OnesLike(ctx, Conj_X.get(), &temp_output, name.c_str())); AbstractTensorHandlePtr Ones_X(temp_output); name = "Add_Log1p_Grad_X"; // Calculate 1 + Conj(X) TF_RETURN_IF_ERROR( AddV2(ctx, Ones_X.get(), Conj_X.get(), &temp_output, name.c_str()));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 28 13:53:47 UTC 2024 - 15.2K bytes - Viewed (0) -
docs/es/docs/advanced/response-headers.md
Si declaraste un `response_model`, este se continuará usando para filtrar y convertir el objeto que devolviste. **FastAPI** usará ese response *temporal* para extraer los headers (al igual que las cookies y el status code), además las pondrá en el response final que contendrá el valor retornado y filtrado por algún `response_model`. También puedes declarar el parámetro `Response` en dependencias, así como configurar los headers (y las cookies) en ellas.
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Wed Feb 07 12:51:12 UTC 2024 - 2.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/resource_op_lifting_cleanup.cc
func::FuncOp cond = op.cond_function(); func::FuncOp body = op.body_function(); llvm::BitVector can_eliminate(op.getNumResults()); for (OpResult result : llvm::reverse(op.getResults())) { if (!result.use_empty()) continue; int result_idx = result.getResultNumber(); BlockArgument cond_arg = cond.getArgument(result_idx); BlockArgument body_arg = cond.getArgument(result_idx);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 19.7K bytes - Viewed (0) -
src/main/resources/fess_indices/fess/es/stopwords.txt
pero sus le ya o este sí porque esta entre cuando muy sin sobre también me hasta hay donde quien desde todo nos durante todos uno les ni contra otros ese eso ante ellos e esto mí antes algunos qué unos yo otro otras otra él tanto esa estos mucho quienes nada muchos cual poco ella
Registered: Wed Jun 12 13:08:18 UTC 2024 - Last Modified: Mon Nov 27 12:59:36 UTC 2023 - 2.2K bytes - Viewed (0) -
callbacks/preload.go
column, values := schema.ToQueryValues(clause.CurrentTable, relForeignKeys, foreignValues) if len(values) != 0 { for _, cond := range conds { if fc, ok := cond.(func(*gorm.DB) *gorm.DB); ok { tx = fc(tx) } else { inlineConds = append(inlineConds, cond) } }
Registered: Wed Jun 12 16:27:09 UTC 2024 - Last Modified: Wed Jun 12 10:52:33 UTC 2024 - 11.6K bytes - Viewed (0) -
tensorflow/compiler/jit/extract_outside_compilation_pass_test.cc
Output input = ops::Const(s.WithOpName("const0"), true, {2}); NameAttrList cond_fn; cond_fn.set_name("cond_fn"); NameAttrList body_fn; body_fn.set_name("body_fn"); auto while_op = ops::While(s.WithOpName("while"), std::initializer_list<Input>{input}, cond_fn, body_fn); ops::_Retval retval(s.WithOpName("retval"), while_op.output[0], 0);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 41K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_weights.mlir
// CHECK: %[[CONV_1:.*]] = "tf.Conv2D"(%[[GATHER]], %[[DEQUANTIZED_1]]) <{data_format = "NHWC", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true}> {device = ""} : (tensor<1x3x4x3xf32>, tensor<2x3x3x1024xf32>) -> tensor<1x3x2x1024xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 42K bytes - Viewed (0) -
tensorflow/cc/framework/while_gradients.cc
// i = 0 // while forward loop predicate is true: // ++i Output zero = ops::Const(scope, 0, {}); // Condition function that returns condition output from original while loop. CondGraphBuilderFn cond_fn = [while_ctx](const Scope& scope, const std::vector<Output>& inputs, Output* output) { *output = ToOutput(while_ctx->cond_output());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 05:57:22 UTC 2024 - 8.1K bytes - Viewed (0)