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Results 71 - 80 of 130 for conv4 (0.21 sec)
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tensorflow/compiler/mlir/quantization/stablehlo/passes/passes.td
"MLIR dump file name.">, Option<"merge_fusion_with_dequantize_", "merge-fusion-with-dequantize", "bool", /*default=*/"false", "Whether to merge quantized conv/dot_general fusion with subsequent dequantize.">, ]; let dependentDialects = [ "mlir::arith::ArithDialect", "mlir::stablehlo::StablehloDialect", "mlir::quant::QuantizationDialect",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 10.3K bytes - Viewed (0) -
src/cmd/compile/internal/walk/expr.go
if types.IsComplex[et] && n.Op() == ir.ODIV { t := n.Type() call := mkcall("complex128div", types.Types[types.TCOMPLEX128], init, typecheck.Conv(n.X, types.Types[types.TCOMPLEX128]), typecheck.Conv(n.Y, types.Types[types.TCOMPLEX128])) return typecheck.Conv(call, t) } // Nothing to do for float divisions. if types.IsFloat[et] { return n } // rewrite 64-bit div and mod on 32-bit architectures.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Mar 04 17:34:01 UTC 2024 - 27.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/fused_kernel_matcher.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 13.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK: %[[CONV:.*]] = "tf.Conv2D"(%[[SLICED_ARG0]], %[[ARG1]]) // CHECK-SAME: explicit_paddings = [0, 0, 4, 0, 0, 2, 0, 0] // CHECK-SAME: (tensor<128x5x4x64xf32>, tensor<3x2x64x4xf32>) -> tensor<128x4x3x4xf32> // CHECK: return %[[CONV]] : tensor<128x4x3x4xf32> // CHECK: }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/cc/config.cc
return spec; } QuantizationSpec GetDefaultWeightOnlyPtqSpec() { QuantizationSpec spec{}; spec.mutable_matcher()->mutable_function_name()->set_regex( "^.*(conv|dot_general).*"); WeightOnlyPtq& weight_only_ptq_spec = *spec.mutable_method()->mutable_weight_only_ptq(); if (auto [iter, inserted] = weight_only_ptq_spec.mutable_input_quantized_types()->try_emplace(1);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 8.3K bytes - Viewed (0) -
src/cmd/internal/goobj/builtinlist.go
{"runtime.slicerunetostring", 1}, {"runtime.stringtoslicebyte", 1}, {"runtime.stringtoslicerune", 1}, {"runtime.slicecopy", 1}, {"runtime.decoderune", 1}, {"runtime.countrunes", 1}, {"runtime.convT", 1}, {"runtime.convTnoptr", 1}, {"runtime.convT16", 1}, {"runtime.convT32", 1}, {"runtime.convT64", 1}, {"runtime.convTstring", 1}, {"runtime.convTslice", 1}, {"runtime.assertE2I", 1},
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue May 21 21:08:03 UTC 2024 - 7.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/lift_as_function_call.h
// Checks if the `Method` attatched to the given `tf.XlaCallModule` op has // `WeightOnlyPtq`. bool HasWeightOnlyPtqMethod(TF::XlaCallModuleOp xla_call_module_op); // Checks if an op is a `tf.XlaCallModule` op, contains 'conv' or 'dot_general' // in its name and has `Method` with `WeightOnlyPtq`. bool IsWeightOnlyQuantizableOp(const Operation& op); // Lists the functions in a ModuleOp sorted by their names.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 5.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_per_channel_4bit.pbtxt
# MLIR: %[[conv:.*]] = "tfl.conv_2d"(%[[ARG_0]], %[[weight]], %[[bias]]) <{dilation_h_factor = 1 : i32, dilation_w_factor = 1 : i32, fused_activation_function = "NONE", padding = "SAME", stride_h = 1 : i32, stride_w = 1 : i32} # MLIR: %[[reshape:.*]] = "tfl.reshape"(%[[conv]], %[[shape]]) : (tensor<1x1x1x186x!quant.uniform<i8:f32, 0.09363494573854933:22>>, tensor<3xi32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_per_channel.pbtxt
# MLIR: %[[conv:.*]] = "tfl.conv_2d"(%[[ARG_0]], %[[weight]], %[[bias]]) <{dilation_h_factor = 1 : i32, dilation_w_factor = 1 : i32, fused_activation_function = "NONE", padding = "SAME", stride_h = 1 : i32, stride_w = 1 : i32} # MLIR: %[[reshape:.*]] = "tfl.reshape"(%[[conv]], %[[shape]]) : (tensor<1x1x1x186x!quant.uniform<i8:f32, 0.09363494573854933:22>>, tensor<3xi32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.1K bytes - Viewed (0) -
test/live.go
// issue 7205 var i9 interface{} func f9() bool { g8() x := i9 y := interface{}(g18()) // ERROR "live at call to convT: x.data$" "live at call to g18: x.data$" "stack object .autotmp_[0-9]+ \[2\]string$" i9 = y // make y escape so the line above has to call convT return x != y } // liveness formerly confused by UNDEF followed by RET, // leading to "live at entry to f10: ~r1" (unnamed result).
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Dec 05 20:34:30 UTC 2023 - 18K bytes - Viewed (0)