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Results 1 - 3 of 3 for 16x1x1x8xi8 (0.14 sec)
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tensorflow/compiler/mlir/lite/tests/decompose-hybrid-quantization.mlir
// CHECK: return %[[VAL2]] %0 = "tfl.pseudo_qconst"() {qtype = tensor<16x1x1x8x!quant.uniform<i8:f32, 1.0>>, value = dense<42> : tensor<16x1x1x8xi8>} : () -> tensor<16x1x1x8x!quant.uniform<i8:f32, 1.0>> %1 = "tfl.pseudo_qconst"() {qtype = tensor<16x!quant.uniform<i32:f32, 1.0>>, value = dense<0> : tensor<16xi32>} : () -> tensor<16x!quant.uniform<i32:f32, 1.0>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir
%2 = stablehlo.constant dense<-128> : tensor<1x1x1x1xi8> // Input zero point. %3 = stablehlo.constant dense<1> : tensor<3x3x4x4xi8> // Quantized filter tensor. %4 = stablehlo.constant dense<3.000000e+03> : tensor<1x1x1x4xf32> %5 = stablehlo.constant dense<4.000000e+03> : tensor<1x1x1x1xf32> // Output inverse scale. %6 = stablehlo.constant dense<127> : tensor<1x1x1x1xi8> // Output zero point.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 37K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/attrs_and_constraints_test.cc
} TEST_F(AttrsAndConstraintsTest, HasRankOfReturnsTrueForMatchingRank) { constexpr absl::string_view kConstantOpWithRankFour = R"mlir(%0 = stablehlo.constant dense<0> : tensor<1x1x1x1xi8>)mlir"; OwningOpRef<ModuleOp> module_op = ParseModuleOpString(kConstantOpWithRankFour); ASSERT_TRUE(module_op); ASSERT_FALSE(module_op->getBodyRegion().empty());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 22.9K bytes - Viewed (0)