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Results 81 - 90 of 159 for _conv (0.04 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_lifting.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 14 03:24:59 UTC 2024 - 33.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir
%conv = "tfl.conv_2d"(%input, %weight, %bias) {dilation_h_factor = 1 : i32, dilation_w_factor = 1 : i32, fused_activation_function = "NONE", padding = "SAME", stride_h = 2 : i32, stride_w = 2 : i32} : (tensor<1x224x224x3xf32>, tensor<32x3x3x3xf32>, tensor<32xf32>) -> tensor<1x112x112x32xf32> func.return %conv : tensor<1x112x112x32xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 67.5K bytes - Viewed (0) -
kotlin-js-store/yarn.lock
follow-redirects "^1.0.0" requires-port "^1.0.0" iconv-lite@0.4.24: version "0.4.24" resolved "https://registry.yarnpkg.com/iconv-lite/-/iconv-lite-0.4.24.tgz#2022b4b25fbddc21d2f524974a474aafe733908b" integrity sha512-v3MXnZAcvnywkTUEZomIActle7RXXeedOR31wwl7VlyoXO4Qi9arvSenNQWne1TcRwhCL1HwLI21bEqdpj8/rA== dependencies: safer-buffer ">= 2.1.2 < 3" iconv-lite@^0.6.3: version "0.6.3"
Registered: Sun Jun 16 04:42:17 UTC 2024 - Last Modified: Sat Jul 22 12:28:51 UTC 2023 - 87.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize.mlir
// CHECK: %[[cst1:.*]] = "tfl.pseudo_qconst"() <{qtype = tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 1.000000e-01>>, value = dense<1> : tensor<32x3x3x3xi8>}> // CHECK: %[[conv:.*]] = "tfl.conv_2d"(%arg0, %[[cst1]], %[[cst0]]) // CHECK: return %[[conv]] : tensor<1x112x112x32x!quant.uniform<u8:f32, 0.023528476789885875>> } // CHECK-LABEL: QuantizeConv2D4Bit
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 23:10:13 UTC 2024 - 39.7K bytes - Viewed (0) -
src/cmd/compile/internal/staticinit/sched.go
return true } // We may have skipped past one or more OCONVNOPs, so // use conv to ensure r is assignable to l (#13263). dst := ir.Node(l) if loff != 0 || !types.Identical(typ, l.Type()) { dst = ir.NewNameOffsetExpr(base.Pos, l, loff, typ) } s.append(ir.NewAssignStmt(base.Pos, dst, typecheck.Conv(r, typ))) return true case ir.ONIL: return true case ir.OLITERAL:
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Apr 02 17:16:14 UTC 2024 - 30.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_without_identity.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 - 13.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_without_identity_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 - 13.8K bytes - Viewed (0) -
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) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/testing/test_lift_quantizable_spots_as_functions_with_quantization_specs.cc
// Configure `QuantizationSpecs` to apply `StaticRangePtq` to compute heavy // units. constexpr absl::string_view kSpecsStaticRangePtqToComputeHeavy = R"pb(specs [ { matcher { function_name { regex: "^.*(conv|dot|gather).*" } } method { static_range_ptq {} } }])pb"; class TestLiftQuantizableSpotsAsFunctionsWithQuantizationSpecsPass : public impl::
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 28 23:21:42 UTC 2024 - 5.4K bytes - Viewed (0) -
src/cmd/compile/internal/typecheck/subr.go
if types.SimType[src.Kind()] == types.SimType[dst.Kind()] { return ir.OCONVNOP, "" } return ir.OCONV, "" } // 5. src and dst are both complex types. if src.IsComplex() && dst.IsComplex() { if types.SimType[src.Kind()] == types.SimType[dst.Kind()] { return ir.OCONVNOP, "" } return ir.OCONV, "" } // Special case for constant conversions: any numeric
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Oct 05 19:45:58 UTC 2023 - 20.2K bytes - Viewed (0)