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Results 1 - 10 of 12 for sgdu (0.05 sec)
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test/codegen/mathbits.go
// amd64:"NEGL","ADCQ","SBBQ","NEGQ" // loong64: "ADDV", "SGTU" // ppc64x: "ADDC", "ADDE", "ADDZE" // s390x:"ADDE","ADDC\t[$]-1," // mips64:"ADDV","SGTU" // riscv64: "ADD","SLTU" return bits.Add(x, 7, ci) } func AddZ(x, y uint) (r, co uint) { // arm64:"ADDS","ADC",-"ADCS",-"ADD\t",-"CMP" // amd64:"ADDQ","SBBQ","NEGQ",-"NEGL",-"ADCQ" // loong64: "ADDV", "SGTU" // ppc64x: "ADDC", -"ADDE", "ADDZE"
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 18:51:17 UTC 2024 - 19.6K bytes - Viewed (0) -
src/runtime/memmove_loong64.s
TEXT runtime·memmove<ABIInternal>(SB), NOSPLIT|NOFRAME, $0-24 BNE R6, check RET check: SGTU R4, R5, R7 BNE R7, backward ADDV R4, R6, R9 // end pointer // if the two pointers are not of same alignments, do byte copying SUBVU R5, R4, R7 AND $7, R7 BNE R7, out // if less than 8 bytes, do byte copying SGTU $8, R6, R7 BNE R7, out // do one byte at a time until 8-aligned AND $7, R4, R8
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon May 13 15:04:25 UTC 2024 - 1.8K bytes - Viewed (0) -
src/internal/bytealg/compare_loong64.s
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon May 13 15:04:25 UTC 2024 - 1.7K bytes - Viewed (0) -
src/runtime/memclr_loong64.s
ADDV R4, R5, R6 // if less than 8 bytes, do one byte at a time SGTU $8, R5, R8 BNE R8, out // do one byte at a time until 8-aligned AND $7, R4, R8 BEQ R8, words MOVB R0, (R4) ADDV $1, R4 JMP -4(PC) words: // do 8 bytes at a time if there is room ADDV $-7, R6, R5 PCALIGN $16 SGTU R5, R4, R8 BEQ R8, out MOVV R0, (R4) ADDV $8, R4 JMP -4(PC) out:
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon May 13 15:04:25 UTC 2024 - 766 bytes - Viewed (0) -
src/cmd/internal/obj/loong64/anames.go
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 22 02:04:54 UTC 2024 - 1.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow_to_stablehlo/python/integration_test/tensorflow_to_stablehlo_test.py
def call(self, x): return x + 1 model = AddOneModel() x_train = tf.constant([1, 2, 3, 4, 5], dtype=tf.float32) y_train = tf.constant([2, 3, 4, 5, 6], dtype=tf.float32) model.compile(optimizer='sgd', loss='mse') model.fit(x_train, y_train, epochs=1) path = tempdir + '/add_one_model' model.save(path) return path class TensorflowToStableHLOTest(test.TestCase):
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 22:58:42 UTC 2024 - 2.7K bytes - Viewed (0) -
src/runtime/asm_loong64.s
// of constant-sized-frame functions to encode a few bits of size in the pc. // Caution: ugly multiline assembly macros in your future! #define DISPATCH(NAME,MAXSIZE) \ MOVV $MAXSIZE, R30; \ SGTU R19, R30, R30; \ BNE R30, 3(PC); \ MOVV $NAME(SB), R4; \ JMP (R4) // Note: can't just "BR NAME(SB)" - bad inlining results. TEXT ·reflectcall(SB), NOSPLIT|NOFRAME, $0-48 MOVWU frameSize+32(FP), R19
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon May 13 15:04:25 UTC 2024 - 26.5K bytes - Viewed (0) -
src/cmd/internal/obj/ppc64/asm9.go
// The size is needed when setting the offset value in the instruction // and when generating relocation for that field. // DS form instructions include: ld, ldu, lwa, std, stdu. All other // loads and stores with an offset field are D form. This function should // only be called with the same opcodes as are handled by opstore and opload. func (c *ctxt9) opform(insn uint32) int { switch insn {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 15 13:55:28 UTC 2024 - 156.1K bytes - Viewed (0) -
src/cmd/internal/obj/x86/asm6.go
{AMOVL, Yml, Ynone, Ytr6, movMemReg2op, [4]uint8{0x0f, 0x26, 6, 0xff}}, {AMOVL, Yml, Ynone, Ytr7, movMemReg2op, [4]uint8{0x0f, 0x26, 7, 0xff}}, // lgdt, sgdt, lidt, sidt {AMOVL, Ym, Ynone, Ygdtr, movMemReg2op, [4]uint8{0x0f, 0x01, 2, 0}}, {AMOVL, Ygdtr, Ynone, Ym, movRegMem2op, [4]uint8{0x0f, 0x01, 0, 0}}, {AMOVL, Ym, Ynone, Yidtr, movMemReg2op, [4]uint8{0x0f, 0x01, 3, 0}},
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 15 15:44:14 UTC 2024 - 146.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
let results = (outs); } def TF_LoadTPUEmbeddingStochasticGradientDescentParametersOp : TF_Op<"LoadTPUEmbeddingStochasticGradientDescentParameters", [TF_MustExecute, TF_TPUEmbeddingReadEffect]> { let summary = "Load SGD embedding parameters."; let description = [{ An op that loads optimization parameters into HBM for embedding. Must be preceded by a ConfigureTPUEmbeddingHost op that sets up the correct
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)