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Results 11 - 20 of 156 for onStop (0.13 sec)
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platforms/jvm/plugins-application/src/main/resources/org/gradle/api/internal/plugins/unixStartScript.txt
} >&2 # OS specific support (must be 'true' or 'false'). cygwin=false msys=false darwin=false nonstop=false case "\$( uname )" in #( CYGWIN* ) cygwin=true ;; #( Darwin* ) darwin=true ;; #( MSYS* | MINGW* ) msys=true ;; #( NONSTOP* ) nonstop=true ;; esac CLASSPATH=$classpath <% if ( mainClassName.startsWith('--module ') ) { %> MODULE_PATH=$modulePath
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue Apr 23 13:43:33 UTC 2024 - 11K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/transforms/device_transform_patterns.cc
// CreateConstOpWithSingleValue. Also, make sure it works with QConst. return failure(); } auto zero_bias = rewriter.create<TFL::ConstOp>(op->getLoc(), bias_attr); op->setOperand(bias_idx, zero_bias); return success(); } TF::ConstOp PadConstValues(Operation* input_op, int value_to_pad, int pad_dimensions, Location loc, OpBuilder* builder) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 25.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/dense_to_sparse.cc
} operand = 0; } ShapedType type; float ratio_threshold = kBlockOverRandomSparsityRatio; if (isa<ConstOp>(inst)) { supported_block_size = sparse_op.GetFloatBlockSize(); type = mlir::cast<ShapedType>(dyn_cast<ConstOp>(inst).getType()); } else if (isa<QConstOp>(inst)) { supported_block_size = sparse_op.GetQuantizedBlockSize();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 16.1K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_launch_util_test.cc
.Input(FakeInput(DT_INT32)) .Attr("T", DT_INT32) .Device("/job:localhost/replica:0/task:0/device:XLA_CPU:0") .Finalize(node_def())); TF_EXPECT_OK(InitOp()); // Add inputs. Tensor* a = CreateDeviceTensor<int32>(TensorShape({1, 3}), {1, 2, 3}); Tensor* b = CreateDeviceTensor<int32>(TensorShape({1, 3}), {4, 5, 6}); inputs_.push_back({nullptr, a});
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 09:53:30 UTC 2024 - 28.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/ir/mlrt/tf_mlrt_ops.td
}]; let arguments = (ins StrAttr:$node_def, I32Attr:$op_key ); let assemblyFormat = "attr-dict"; } def ConstOp: TensorflowMlrt_Op<"constop", []> { let summary = "The tf_mlrt ConstOp"; let description = [{ The ConstOp creates a constant tensorflow::Tensor from serialized proto. }]; let arguments = (ins StrAttr:$tensor_proto ); let results = (outs
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 20:44:15 UTC 2024 - 13.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/duplicate_shape_determining_constants.cc
} void runOnOperation() override; }; // Returns True iff the otuput value of `op` is either a compile time constant // or bounded from the XLA compiler's perspective, even if it is not a // `ConstOp`. bool IsOutputCompileTimeConstantOrBounded(Operation* op) { return llvm::isa_and_nonnull<TF::ShapeOp, TF::ShapeNOp, TF::RankOp, TF::SizeOp, TF::TensorArraySizeV3Op,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 05:52:39 UTC 2024 - 17.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tpu_space_to_depth_pass.cc
pad_beg, pad_end, 0, 0}; auto paddings = DenseIntElementsAttr::get(padding_type, values); // Update pad_op paddings. op.setOperand(1, builder.create<TF::ConstOp>(loc, paddings)); // Set input type. auto input = op.getOperand(0); SmallVector<int64_t, 4> transform_shape = { pad_input_shape[0], pad_input_shape[1] / block_size,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 29.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/collection_ops_util.cc
Value CreateScalarConst(int32_t value, OpBuilder builder, Location loc) { auto attr = DenseIntElementsAttr::get( tensorflow::GetTypeFromTFTensorShape({}, builder.getI32Type()), value); return builder.create<TF::ConstOp>(loc, attr); } Value GetR1Const(ArrayRef<int64_t> r1, OpBuilder builder, Location loc, int bitwidth) { llvm::SmallVector<APInt, 4> values; int64_t rank = r1.size(); values.reserve(rank);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 14.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo_conversions/util.cc
} Value BuildIntConstOp(ImplicitLocOpBuilder& builder, ConversionPatternRewriter& rewriter, int64_t const_value, Type type) { Value result_const = builder.create<TF::ConstOp>(rewriter.getIntegerAttr(type, const_value)); return result_const; } Value BuildIntArrayConstOp(ImplicitLocOpBuilder& builder, ConversionPatternRewriter& rewriter,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 10.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/unfuse_batch_norm_pass.cc
if (i != feature_index) { reduce_dim_axes.push_back(i); } } auto mean_dims = DenseIntElementsAttr::get(dims_type, reduce_dim_axes); ::mlir::TF::ConstOp reduce_dim_op = rewriter.create<TF::ConstOp>(bn_op.getLoc(), mean_dims); int64_t feature_dim_size = input_type.getDimSize(feature_index); auto mean_var_type = RankedTensorType::get(/*shape=*/{feature_dim_size},
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.2K bytes - Viewed (0)